09:31:45.393 [INFO] - 待测试业务名称: @ main.py:15 in 09:31:45.394 [INFO] - -------------------- 开始业务 [illParking] -------------------- @ main.py:19 in 09:31:45.394 [INFO] - bussiness: illParking @ Bussiness.py:16 in createModel 09:31:45.587 [INFO] - create AlAlg_IllParking @ Bussiness_Seg.py:307 in __init__ 09:31:45.588 [WARNING] - [illParking] 业务配置 - ['device', 'labelnames', 'max_workers', 'Detweights', 'detModelpara', 'seg_nclass', 'segRegionCnt', 'Segweights', 'postFile', 'txtFontSize', 'digitFont', 'testImgPath', 'testOutPath', 'segPar'] - 重点配置： 检测类别(labelnames):./weights/conf/illParking/labelnames.json >>>>>> ['车', 'T角点', 'L角点', '违停'] 检测模型路径(Detweights): ./weights/illParking/yolov5_3090_fp16.engine 分割模型权重文件(Segweights): ./weights/illParking/stdc_360X640_3090_fp16.engine 后处理参数文件(postFile): ./weights/conf/illParking/para.json 测试图像路径(testImgPath): ./appIOs/samples/illParking/ 输出图像位置(testOutPath): ./appIOs/results/illParking/ 输出图像路径: ./appIOs/results/illParking/ @ Bussiness.py:39 in __init__ 09:31:45.588 [INFO] - 检测类别 - ./weights/conf/illParking/labelnames.json 存在 @ drHelper.py:197 in checkFile 09:31:45.589 [INFO] - 检测模型路径 - ./weights/illParking/yolov5_3090_fp16.engine 存在 @ drHelper.py:197 in checkFile 09:31:45.589 [INFO] - 后处理参数文件 - ./weights/conf/illParking/para.json 存在 @ drHelper.py:197 in checkFile 09:31:45.590 [INFO] - 分割模型权重文件 - ./weights/illParking/stdc_360X640_3090_fp16.engine 存在 @ drHelper.py:197 in checkFile 09:31:45.590 [INFO] - 测试图像路径 - ./appIOs/samples/illParking/ 存在 @ drHelper.py:197 in checkFile 09:31:45.590 [INFO] - 输出图像路径 - ./appIOs/results/illParking/ 存在 @ drHelper.py:197 in checkFile 09:31:45.591 [INFO] - step 1: 业务分析配置 - trtFlag_seg: True, trtFlag_det: True @ Bussiness_Seg.py:56 in run 09:31:45.639 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 09:31:45.639 [INFO] - step 2: 取得参数配置 @ Bussiness_Seg.py:73 in run 09:31:45.802 [INFO] - step 3: 情况 1 - 成功载入 det model trt [./weights/illParking/yolov5_3090_fp16.engine] @ Bussiness_Seg.py:83 in run 09:31:45.827 [INFO] - 加载 stdcModel 模型: ./weights/illParking/stdc_360X640_3090_fp16.engine 类型: trt @ stdc.py:53 in __init__ 09:31:45.850 [INFO] - step 4: 共读入 5 张图片待处理 @ Bussiness_Seg.py:170 in run 09:31:45.851 [WARNING] - step 5-------------------- 处理图片 ./appIOs/samples/illParking/4.jpg-------------------- @ Bussiness_Seg.py:175 in run 09:31:46.295 [WARNING] - modelSize not in par, use default size(640, 360) @ stdc.py:66 in preprocess_image 09:31:46.297 [WARNING] - mean not in par, use default mean(0.485, 0.456, 0.406) @ stdc.py:75 in preprocess_image 09:31:46.298 [WARNING] - std not in par, use default std(0.229, 0.224, 0.225) @ stdc.py:78 in preprocess_image 09:31:46.388 [INFO] - [业务分析]业务 总共耗时 536.3 毫秒，其中： AI_Process: 528.6 毫秒 Bussiness.py:80 in doAnalysis -> [AI_process]业务 总共耗时 528.5 毫秒，其中： img_pad: 1.9 毫秒 aiHelper.py:159 in AI_process from_numpy(640 x 640): 0.1 毫秒 aiHelper.py:163 in AI_process to GPU(640 x 640): 440.2 毫秒 aiHelper.py:165 in AI_process infer: 13.5 毫秒 aiHelper.py:177 in AI_process yolov5Trtforward: 66.7 毫秒 aiHelper.py:184 in AI_process 后处理: 5.7 毫秒 aiHelper.py:191 in AI_process -> [预测结果后处理]业务 总共耗时 5.7 毫秒，其中： NMS: 2.5 毫秒 aiHelper.py:40 in getDetectionsFromPreds ScaleBack: 3.2 毫秒 aiHelper.py:65 in getDetectionsFromPreds drawAllBox: 0.7 毫秒 Bussiness.py:82 in doAnalysis testOutPath: 6.9 毫秒 Bussiness.py:93 in doAnalysis fp: 0.2 毫秒 Bussiness.py:100 in doAnalysis @ Bussiness.py:102 in doAnalysis 09:31:46.388 [WARNING] - step 6-------------------- 处理图片 ./appIOs/samples/illParking/3.jpg-------------------- @ Bussiness_Seg.py:175 in run 09:31:46.392 [WARNING] - modelSize not in par, use default size(640, 360) @ stdc.py:66 in preprocess_image 09:31:46.412 [INFO] - [业务分析]业务 总共耗时 22.9 毫秒，其中： AI_Process: 15.2 毫秒 Bussiness.py:80 in doAnalysis -> [AI_process]业务 总共耗时 15.2 毫秒，其中： img_pad: 2.2 毫秒 aiHelper.py:159 in AI_process from_numpy(640 x 640): 0.0 毫秒 aiHelper.py:163 in AI_process to GPU(640 x 640): 0.4 毫秒 aiHelper.py:165 in AI_process infer: 6.2 毫秒 aiHelper.py:177 in AI_process yolov5Trtforward: 1.9 毫秒 aiHelper.py:184 in AI_process 后处理: 4.0 毫秒 aiHelper.py:191 in AI_process -> [预测结果后处理]业务 总共耗时 4.0 毫秒，其中： NMS: 1.0 毫秒 aiHelper.py:40 in getDetectionsFromPreds ScaleBack: 3.0 毫秒 aiHelper.py:65 in getDetectionsFromPreds drawAllBox: 0.7 毫秒 Bussiness.py:82 in doAnalysis testOutPath: 6.9 毫秒 Bussiness.py:93 in doAnalysis fp: 0.1 毫秒 Bussiness.py:100 in doAnalysis @ Bussiness.py:102 in doAnalysis 09:31:46.412 [WARNING] - step 7-------------------- 处理图片 ./appIOs/samples/illParking/2.jpg-------------------- @ Bussiness_Seg.py:175 in run 09:31:46.414 [WARNING] - modelSize not in par, use default size(640, 360) @ stdc.py:66 in preprocess_image 09:31:46.435 [INFO] - [业务分析]业务 总共耗时 22.7 毫秒，其中： AI_Process: 14.3 毫秒 Bussiness.py:80 in doAnalysis -> [AI_process]业务 总共耗时 14.3 毫秒，其中： img_pad: 1.0 毫秒 aiHelper.py:159 in AI_process from_numpy(640 x 640): 0.0 毫秒 aiHelper.py:163 in AI_process to GPU(640 x 640): 0.3 毫秒 aiHelper.py:165 in AI_process infer: 6.2 毫秒 aiHelper.py:177 in AI_process yolov5Trtforward: 2.2 毫秒 aiHelper.py:184 in AI_process 后处理: 4.1 毫秒 aiHelper.py:191 in AI_process -> [预测结果后处理]业务 总共耗时 4.1 毫秒，其中： NMS: 1.0 毫秒 aiHelper.py:40 in getDetectionsFromPreds ScaleBack: 3.1 毫秒 aiHelper.py:65 in getDetectionsFromPreds drawAllBox: 0.7 毫秒 Bussiness.py:82 in doAnalysis testOutPath: 7.6 毫秒 Bussiness.py:93 in doAnalysis fp: 0.2 毫秒 Bussiness.py:100 in doAnalysis @ Bussiness.py:102 in doAnalysis 09:31:46.436 [WARNING] - step 8-------------------- 处理图片 ./appIOs/samples/illParking/1.jpg-------------------- @ Bussiness_Seg.py:175 in run 09:31:46.439 [WARNING] - modelSize not in par, use default size(640, 360) @ stdc.py:66 in preprocess_image 09:31:46.464 [INFO] - [业务分析]业务 总共耗时 27.8 毫秒，其中： AI_Process: 18.4 毫秒 Bussiness.py:80 in doAnalysis -> [AI_process]业务 总共耗时 18.3 毫秒，其中： img_pad: 1.6 毫秒 aiHelper.py:159 in AI_process from_numpy(640 x 640): 0.0 毫秒 aiHelper.py:163 in AI_process to GPU(640 x 640): 0.4 毫秒 aiHelper.py:165 in AI_process infer: 7.0 毫秒 aiHelper.py:177 in AI_process yolov5Trtforward: 2.1 毫秒 aiHelper.py:184 in AI_process 后处理: 6.6 毫秒 aiHelper.py:191 in AI_process -> [预测结果后处理]业务 总共耗时 6.6 毫秒，其中： NMS: 1.1 毫秒 aiHelper.py:40 in getDetectionsFromPreds ScaleBack: 5.5 毫秒 aiHelper.py:65 in getDetectionsFromPreds drawAllBox: 0.1 毫秒 Bussiness.py:82 in doAnalysis testOutPath: 9.2 毫秒 Bussiness.py:93 in doAnalysis fp: 0.1 毫秒 Bussiness.py:100 in doAnalysis @ Bussiness.py:102 in doAnalysis 09:31:46.465 [WARNING] - step 9-------------------- 处理图片 ./appIOs/samples/illParking/5.jpg-------------------- @ Bussiness_Seg.py:175 in run 09:31:46.467 [WARNING] - modelSize not in par, use default size(640, 360) @ stdc.py:66 in preprocess_image 09:31:46.488 [INFO] - [业务分析]业务 总共耗时 23.1 毫秒，其中： AI_Process: 15.4 毫秒 Bussiness.py:80 in doAnalysis -> [AI_process]业务 总共耗时 15.3 毫秒，其中： img_pad: 1.0 毫秒 aiHelper.py:159 in AI_process from_numpy(640 x 640): 0.0 毫秒 aiHelper.py:163 in AI_process to GPU(640 x 640): 0.4 毫秒 aiHelper.py:165 in AI_process infer: 7.1 毫秒 aiHelper.py:177 in AI_process yolov5Trtforward: 2.3 毫秒 aiHelper.py:184 in AI_process 后处理: 4.2 毫秒 aiHelper.py:191 in AI_process -> [预测结果后处理]业务 总共耗时 4.2 毫秒，其中： NMS: 1.0 毫秒 aiHelper.py:40 in getDetectionsFromPreds ScaleBack: 3.2 毫秒 aiHelper.py:65 in getDetectionsFromPreds drawAllBox: 0.7 毫秒 Bussiness.py:82 in doAnalysis testOutPath: 6.9 毫秒 Bussiness.py:93 in doAnalysis fp: 0.1 毫秒 Bussiness.py:100 in doAnalysis @ Bussiness.py:102 in doAnalysis 09:31:46.488 [INFO] - step 10: 5 张图片共耗时:637.5 ms ,依次为:127.5 ms, 占用 1 线程 @ Bussiness_Seg.py:187 in run 10:21:56.234 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:21:56.255 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:21:56.282 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:21:56.283 [ERROR] - 模型加载异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 65, in __init__ with open(Detweights, "rb") as f, trt.Runtime(trt.Logger(trt.Logger.ERROR)) as runtime: FileNotFoundError: [Errno 2] No such file or directory: '../weights/trt/AIlib2/illParking/yolov5_3090_fp16.engine' , requestId:1234 @ ModelUtils.py:102 in __init__ 10:21:56.284 [ERROR] - 异常编码：SP017, 异常描述：模型加载异常! @ ModelUtils.py:43 in __str__ 10:22:58.022 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:22:58.044 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:22:58.074 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:22:58.074 [INFO] - 加载模型：../weights/trt/AIlib2/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:22:58.076 [ERROR] - 模型加载异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 66, in __init__ with open(Detweights, "rb") as f, trt.Runtime(trt.Logger(trt.Logger.ERROR)) as runtime: FileNotFoundError: [Errno 2] No such file or directory: '../weights/trt/AIlib2/illParking/yolov5_3090_fp16.engine' , requestId:1234 @ ModelUtils.py:103 in __init__ 10:22:58.077 [ERROR] - 异常编码：SP017, 异常描述：模型加载异常! @ ModelUtils.py:43 in __str__ 10:24:14.077 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:24:14.097 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:24:14.123 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:24:14.123 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:24:14.289 [INFO] - 模型初始化时间：0.19141888618469238, requestId:1234 @ ModelUtils.py:106 in __init__ 10:24:14.289 [INFO] - [(( at 0x7f773658e8c0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])), '019')] @ main.py:45 in 10:26:33.698 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:26:33.718 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:26:33.744 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:26:33.744 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:26:33.903 [INFO] - 模型初始化时间：0.18465828895568848, requestId:1234 @ ModelUtils.py:106 in __init__ 10:26:33.903 [INFO] - [(( at 0x7fea16c5e680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])), '019')] @ main.py:45 in 10:27:19.013 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:27:19.033 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:27:19.058 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:27:19.058 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:27:19.217 [INFO] - 模型初始化时间：0.1833491325378418, requestId:1234 @ ModelUtils.py:106 in __init__ 10:27:19.217 [INFO] - [(( at 0x7f7dc4ffe710>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])), '019')] @ main.py:45 in 10:27:19.217 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f7dc4ffe710>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:27:32.595 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:27:32.615 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:27:32.640 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:27:32.640 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:27:32.794 [INFO] - 模型初始化时间：0.17897987365722656, requestId:1234 @ ModelUtils.py:106 in __init__ 10:27:32.795 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f1beb6de710>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:33:25.238 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:33:25.262 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:33:25.295 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:33:25.296 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:33:25.469 [INFO] - 模型初始化时间：0.20696687698364258, requestId:1234 @ ModelUtils.py:106 in __init__ 10:33:28.409 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f4021667d00>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:35:21.011 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:35:21.035 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:35:21.061 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:35:21.062 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:35:21.228 [INFO] - 模型初始化时间：0.19243597984313965, requestId:1234 @ ModelUtils.py:106 in __init__ 10:35:21.228 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f6cf5126710>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:37:38.672 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:37:38.697 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:37:38.722 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:37:38.722 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:37:38.884 [INFO] - 模型初始化时间：0.1872081756591797, requestId:1234 @ ModelUtils.py:106 in __init__ 10:37:38.884 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fd290b0a680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:41:09.625 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:41:09.645 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:41:09.671 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:41:09.672 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:41:09.834 [INFO] - 模型初始化时间：0.18894720077514648, requestId:1234 @ ModelUtils.py:106 in __init__ 10:41:09.835 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fa55e8ba680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:41:37.225 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:41:37.246 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:41:37.271 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:41:37.271 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:41:37.447 [INFO] - 模型初始化时间：0.2016286849975586, requestId:1234 @ ModelUtils.py:106 in __init__ 10:41:37.448 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f727d2be680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:42:04.389 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:42:04.409 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:42:04.438 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:42:04.438 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:42:04.600 [INFO] - 模型初始化时间：0.1905205249786377, requestId:1234 @ ModelUtils.py:106 in __init__ 10:42:04.600 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f443b34a680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:42:50.264 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:42:50.284 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:42:50.311 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:42:50.312 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:42:50.465 [INFO] - 模型初始化时间：0.18108057975769043, requestId:1234 @ ModelUtils.py:106 in __init__ 10:42:50.466 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fed332f6680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:43:18.095 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:43:18.120 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:43:18.145 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:43:18.146 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:43:18.303 [INFO] - 模型初始化时间：0.18239474296569824, requestId:1234 @ ModelUtils.py:106 in __init__ 10:43:18.303 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f20812ba680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:44:18.655 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:44:18.685 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:44:18.739 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:44:18.740 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:44:18.948 [INFO] - 模型初始化时间：0.26304006576538086, requestId:1234 @ ModelUtils.py:106 in __init__ 10:44:18.949 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fc9aeb3a9e0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:44:18.949 [INFO] - fontPath:../AIlib2/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 10:45:10.803 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:45:10.826 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:45:10.852 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:45:10.853 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:45:11.020 [INFO] - 模型初始化时间：0.19400358200073242, requestId:1234 @ ModelUtils.py:106 in __init__ 10:45:11.020 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f2d70ffe9e0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:45:11.020 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 10:45:57.975 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 10:45:58.001 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 10:45:58.033 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 10:45:58.033 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 10:45:58.202 [INFO] - 模型初始化时间：0.20077276229858398, requestId:1234 @ ModelUtils.py:106 in __init__ 10:46:03.081 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f3dd5947c70>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:49 in 10:47:47.258 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 11:00:31.842 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:00:31.863 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 11:00:31.889 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:00:31.890 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 11:00:32.047 [INFO] - 模型初始化时间：0.18349575996398926, requestId:1234 @ ModelUtils.py:106 in __init__ 11:00:32.048 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fc930b0a9e0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:00:32.049 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 11:02:36.952 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:02:36.977 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 11:02:37.004 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:02:37.005 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 11:02:37.183 [INFO] - 模型初始化时间：0.20563292503356934, requestId:1234 @ ModelUtils.py:106 in __init__ 11:02:37.183 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f78f85ce7a0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:02:37.184 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 11:02:37.187 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 150, in model_process return AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], NameError: name 'AI_process' is not defined , requestId:1234 @ ModelUtils.py:159 in model_process 11:02:37.188 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:43 in __str__ 11:20:25.465 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:20:25.487 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:54 in __init__ 11:20:25.523 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:20:25.523 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:64 in __init__ 11:20:25.686 [INFO] - 模型初始化时间：0.19849014282226562, requestId:1234 @ ModelUtils.py:106 in __init__ 11:20:25.686 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f605fbc67a0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:20:25.687 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:289 in get_label_arraylist 11:20:25.691 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 150, in model_process return AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], NameError: name 'AI_process' is not defined , requestId:1234 @ ModelUtils.py:159 in model_process 11:20:25.691 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:43 in __str__ 11:31:05.760 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:31:05.782 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:31:05.808 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:31:05.809 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:31:05.977 [INFO] - 模型初始化时间：0.19477510452270508, requestId:1234 @ ModelUtils.py:107 in __init__ 11:31:05.977 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f7e6b58ac20>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:31:05.977 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 11:31:05.981 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 135, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 11:31:05.982 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:32:14.535 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:32:14.557 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:32:14.583 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:32:14.584 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:32:14.751 [INFO] - 模型初始化时间：0.19419503211975098, requestId:1234 @ ModelUtils.py:107 in __init__ 11:32:14.751 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fab9f70ac20>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:32:14.754 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:291 in get_label_arraylist 11:32:14.757 [INFO] - model_process([( at 0x7fab9f70ac20>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None, 'digitFont': {'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'}, 'label_arraylist': [array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)], 'font_config': (1, 29, 8, 0.33, 1)}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])), None, '1234']) @ ModelUtils.py:148 in model_process 11:32:14.762 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 152, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 135, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:161 in model_process 11:32:14.763 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:39:25.958 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:39:25.978 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:39:26.003 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:39:26.004 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:39:26.168 [INFO] - 模型初始化时间：0.18923592567443848, requestId:1234 @ ModelUtils.py:107 in __init__ 11:39:26.168 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f3e9b436c20>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:39:26.169 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:291 in get_label_arraylist 11:39:26.172 [INFO] - model_process(( at 0x7f3e9b436c20>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None, 'digitFont': {'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'}, 'label_arraylist': [array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)], 'font_config': (1, 29, 8, 0.33, 1)}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]))) @ ModelUtils.py:148 in model_process 11:39:26.176 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 152, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 135, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:161 in model_process 11:39:26.177 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:41:40.257 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:41:40.279 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:41:40.304 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:41:40.305 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:41:40.465 [INFO] - 模型初始化时间：0.18572115898132324, requestId:1234 @ ModelUtils.py:107 in __init__ 11:41:40.465 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fe5b4cf2b00>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:41:40.466 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 11:41:40.470 [INFO] - model_process([None]) @ aiHelper.py:101 in AI_process 11:41:40.470 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 11:41:40.472 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:41:58.329 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:41:58.350 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:41:58.375 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:41:58.375 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:41:58.543 [INFO] - 模型初始化时间：0.19279718399047852, requestId:1234 @ ModelUtils.py:107 in __init__ 11:41:58.543 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f0b69966710>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:41:58.544 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 11:41:58.547 [INFO] - model_process() @ aiHelper.py:101 in AI_process 11:41:58.548 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 11:41:58.549 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:42:30.066 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:42:30.087 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:42:30.113 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:42:30.113 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:42:30.271 [INFO] - 模型初始化时间：0.18350505828857422, requestId:1234 @ ModelUtils.py:107 in __init__ 11:42:30.271 [INFO] - 模型编号: 019, 模型参数: ( at 0x7f8c24abe680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:42:30.272 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 11:42:30.279 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 101, in AI_process logger.info("model_process({}, {},{},{},{},{},{},{},{},{},{},{})", im0s, model, segmodel, names, label_arraylist, rainbows, File "/home/thsw/anaconda3/envs/alg_py310/lib/python3.10/site-packages/loguru/_logger.py", line 2014, in info __self._log("INFO", False, __self._options, __message, args, kwargs) File "/home/thsw/anaconda3/envs/alg_py310/lib/python3.10/site-packages/loguru/_logger.py", line 1991, in _log log_record["message"] = message.format(*args, **kwargs) IndexError: Replacement index 11 out of range for positional args tuple , requestId:1234 @ ModelUtils.py:160 in model_process 11:42:30.281 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 11:42:58.565 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 11:42:58.586 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 11:42:58.612 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 11:42:58.612 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 11:42:58.771 [INFO] - 模型初始化时间：0.18506455421447754, requestId:1234 @ ModelUtils.py:107 in __init__ 11:42:58.772 [INFO] - 模型编号: 019, 模型参数: ( at 0x7fda98846680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 11:42:58.772 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 11:42:58.775 [INFO] - model_process([None], ,None,['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 11:42:58.780 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 11:42:58.781 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:31:46.854 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:31:46.874 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:31:46.899 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:31:46.900 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:31:47.072 [INFO] - 模型初始化时间：0.1983504295349121, requestId:1234 @ ModelUtils.py:107 in __init__ 13:31:47.073 [INFO] - 模型编号: 019 模型参数: ( at 0x7f749cc4e7a0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:31:47.073 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:31:47.076 [INFO] - model_process([None], ,None,['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:31:47.081 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:31:47.082 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:36:09.591 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:36:09.613 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:36:09.638 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:36:09.638 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:36:09.792 [INFO] - 模型初始化时间：0.17864322662353516, requestId:1234 @ ModelUtils.py:107 in __init__ 13:36:09.793 [INFO] - 模型编号: 019 模型参数: ( at 0x7fadae6665f0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:36:09.794 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:36:09.797 [INFO] - model_process([None], model=,None,['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:36:09.801 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:36:09.802 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:36:46.828 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:36:46.848 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:36:46.877 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:36:46.878 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:36:47.039 [INFO] - 模型初始化时间：0.1906752586364746, requestId:1234 @ ModelUtils.py:107 in __init__ 13:36:47.040 [INFO] - 模型编号: 019 模型参数: ( at 0x7fa043e9e5f0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:36:47.040 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:36:47.044 [INFO] - model_process([None], model=,segmodel=None,names=['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:36:47.050 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:36:47.051 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:37:14.981 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:37:15.026 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:37:15.050 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:37:15.051 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:37:15.202 [INFO] - 模型初始化时间：0.17597317695617676, requestId:1234 @ ModelUtils.py:107 in __init__ 13:37:15.202 [INFO] - 模型编号: 019 模型参数: ( at 0x7f604b9f2680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:37:15.203 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:37:15.206 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:37:15.210 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 138, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:37:15.211 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:38:03.395 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:38:03.416 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:38:03.443 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:38:03.444 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:38:03.596 [INFO] - 模型初始化时间：0.1793203353881836, requestId:1234 @ ModelUtils.py:107 in __init__ 13:38:03.596 [INFO] - 模型编号: 019 模型参数: ( at 0x7f9367c56680>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:38:03.597 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:38:03.600 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'],[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:38:03.604 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:38:03.605 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:38:45.764 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:38:45.785 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:38:45.812 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:38:45.812 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:38:45.979 [INFO] - 模型初始化时间：0.19443655014038086, requestId:1234 @ ModelUtils.py:107 in __init__ 13:38:45.980 [INFO] - 模型编号: 019 模型参数: ( at 0x7fbee58625f0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:38:45.980 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:38:45.984 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], label_arraylist=[array([[[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 15, 15], [255, 48, 48], [255, 61, 61], [255, 33, 33], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 34, 34], [255, 50, 50], [255, 83, 83], [255, 129, 129], [255, 143, 143], [255, 104, 104], [255, 61, 61], [255, 61, 61], [255, 61, 61], [255, 48, 48], [255, 29, 29]], [[255, 104, 104], [255, 154, 154], [255, 203, 203], [255, 232, 232], [255, 222, 222], [255, 205, 205], [255, 189, 189], [255, 186, 186], [255, 186, 186], [255, 145, 145], [255, 87, 87]], [[255, 48, 48], [255, 104, 104], [255, 168, 168], [255, 217, 217], [255, 141, 141], [255, 134, 134], [255, 137, 137], [255, 90, 90], [255, 87, 87], [255, 68, 68], [255, 40, 40]], [[255, 16, 16], [255, 106, 106], [255, 170, 170], [255, 168, 168], [255, 112, 112], [255, 136, 136], [255, 149, 149], [255, 56, 56], [255, 50, 50], [255, 35, 35], [255, 14, 14]], [[255, 3, 3], [255, 124, 124], [255, 188, 188], [255, 143, 143], [255, 132, 132], [255, 176, 176], [255, 190, 190], [255, 87, 87], [255, 80, 80], [255, 49, 49], [255, 4, 4]], [[255, 9, 9], [255, 124, 124], [255, 203, 203], [255, 201, 201], [255, 210, 210], [255, 228, 228], [255, 234, 234], [255, 199, 199], [255, 196, 196], [255, 120, 120], [255, 9, 9]], [[255, 54, 54], [255, 99, 99], [255, 130, 130], [255, 132, 132], [255, 157, 157], [255, 199, 199], [255, 209, 209], [255, 135, 135], [255, 130, 130], [255, 99, 99], [255, 54, 54]], [[255, 93, 93], [255, 108, 108], [255, 119, 119], [255, 120, 120], [255, 149, 149], [255, 194, 194], [255, 205, 205], [255, 124, 124], [255, 119, 119], [255, 108, 108], [255, 93, 93]], [[255, 102, 102], [255, 119, 119], [255, 131, 131], [255, 133, 133], [255, 158, 158], [255, 199, 199], [255, 209, 209], [255, 136, 136], [255, 131, 131], [255, 119, 119], [255, 102, 102]], [[255, 16, 16], [255, 19, 19], [255, 21, 21], [255, 24, 24], [255, 72, 72], [255, 149, 149], [255, 168, 168], [255, 29, 29], [255, 21, 21], [255, 19, 19], [255, 16, 16]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 1, 1], [255, 25, 25], [255, 63, 63], [255, 73, 73], [255, 4, 4], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 3, 3], [255, 7, 7], [255, 8, 8], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]], [[255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0], [255, 0, 0]]], dtype=uint8), array([[[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[212, 6, 150], [212, 7, 151], [212, 7, 151], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[224, 77, 180], [225, 84, 183], [226, 89, 185], ..., [225, 80, 182], [223, 70, 177], [221, 59, 173]], ..., [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [218, 40, 165], [219, 49, 168], [221, 61, 173]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]], [[211, 0, 148], [211, 0, 148], [211, 0, 148], ..., [211, 0, 148], [211, 0, 148], [211, 0, 148]]], dtype=uint8), array([[[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 2, 128, 2], [ 5, 129, 5], [ 4, 129, 4], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 26, 140, 26], [ 63, 159, 63], [ 60, 157, 60], ..., [ 79, 167, 79], [ 64, 159, 64], [ 59, 157, 59]], ..., [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 38, 146, 38], [ 55, 155, 55], [ 61, 157, 61]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]], [[ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0], ..., [ 0, 127, 0], [ 0, 127, 0], [ 0, 127, 0]]], dtype=uint8), array([[[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 25, 87, 255], [ 30, 90, 255], [ 22, 85, 255], [ 0, 69, 255], [ 0, 69, 255], [ 36, 95, 255], [ 63, 115, 255], [ 33, 93, 255], [ 10, 76, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 34, 94, 255], [ 47, 103, 255], [ 24, 86, 255], [ 6, 73, 255], [ 25, 87, 255], [ 50, 105, 255], [ 50, 105, 255], [ 16, 80, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 53, 107, 255], [ 87, 132, 255], [ 90, 135, 255], [ 49, 104, 255], [ 67, 118, 255], [118, 155, 255], [151, 179, 255], [113, 151, 255], [ 85, 131, 255], [ 62, 114, 255], [ 41, 99, 255], [ 7, 74, 255], [ 83, 129, 255], [121, 157, 255], [ 80, 127, 255], [ 67, 118, 255], [ 93, 137, 255], [122, 158, 255], [122, 157, 255], [ 82, 129, 255], [ 59, 112, 255], [ 53, 107, 255]], [[ 73, 121, 255], [160, 185, 255], [196, 212, 255], [147, 177, 255], [205, 218, 255], [235, 240, 255], [243, 246, 255], [233, 239, 255], [226, 233, 255], [190, 208, 255], [124, 160, 255], [ 24, 86, 255], [138, 169, 255], [206, 220, 255], [158, 184, 255], [190, 208, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [201, 215, 255], [184, 203, 255], [160, 185, 255]], [[ 17, 81, 255], [ 66, 117, 255], [ 88, 133, 255], [ 66, 117, 255], [123, 159, 255], [183, 203, 255], [214, 225, 255], [178, 199, 255], [152, 180, 255], [104, 146, 255], [ 52, 107, 255], [ 53, 108, 255], [156, 183, 255], [176, 197, 255], [ 73, 122, 255], [179, 200, 255], [197, 213, 255], [182, 201, 255], [182, 201, 255], [202, 216, 255], [155, 182, 255], [ 75, 124, 255]], [[ 93, 137, 255], [121, 157, 255], [108, 147, 255], [ 40, 98, 255], [ 98, 141, 255], [167, 191, 255], [205, 218, 255], [162, 187, 255], [130, 164, 255], [ 77, 126, 255], [ 36, 95, 255], [113, 152, 255], [185, 204, 255], [166, 190, 255], [ 47, 103, 255], [178, 199, 255], [198, 213, 255], [176, 197, 255], [176, 197, 255], [204, 217, 255], [148, 177, 255], [ 50, 105, 255]], [[150, 178, 255], [196, 212, 255], [176, 197, 255], [ 68, 118, 255], [125, 160, 255], [184, 203, 255], [214, 225, 255], [179, 200, 255], [154, 182, 255], [108, 148, 255], [ 73, 122, 255], [165, 189, 255], [207, 220, 255], [175, 196, 255], [ 77, 125, 255], [184, 203, 255], [199, 215, 255], [181, 201, 255], [181, 201, 255], [204, 218, 255], [159, 185, 255], [ 78, 126, 255]], [[ 37, 96, 255], [165, 189, 255], [223, 231, 255], [160, 186, 255], [211, 223, 255], [237, 242, 255], [245, 248, 255], [236, 241, 255], [234, 239, 255], [207, 219, 255], [169, 192, 255], [170, 193, 255], [202, 216, 255], [207, 220, 255], [173, 195, 255], [194, 211, 255], [200, 215, 255], [199, 214, 255], [199, 214, 255], [200, 215, 255], [188, 206, 255], [169, 193, 255]], [[ 12, 78, 255], [156, 183, 255], [190, 208, 255], [ 53, 108, 255], [ 69, 119, 255], [141, 171, 255], [196, 212, 255], [157, 184, 255], [189, 207, 255], [187, 206, 255], [150, 179, 255], [ 87, 133, 255], [163, 188, 255], [201, 215, 255], [152, 180, 255], [150, 179, 255], [145, 175, 255], [140, 171, 255], [140, 171, 255], [147, 176, 255], [151, 179, 255], [153, 180, 255]], [[ 44, 101, 255], [169, 192, 255], [188, 206, 255], [ 45, 102, 255], [ 23, 85, 255], [ 97, 140, 255], [162, 187, 255], [111, 150, 255], [143, 174, 255], [140, 171, 255], [100, 142, 255], [ 39, 98, 255], [144, 174, 255], [183, 202, 255], [ 97, 140, 255], [108, 148, 255], [118, 155, 255], [130, 164, 255], [152, 180, 255], [126, 161, 255], [107, 147, 255], [ 99, 141, 255]], [[109, 148, 255], [182, 202, 255], [197, 212, 255], [118, 155, 255], [ 76, 124, 255], [117, 155, 255], [159, 185, 255], [117, 154, 255], [127, 162, 255], [104, 145, 255], [ 57, 111, 255], [ 29, 91, 255], [142, 173, 255], [162, 187, 255], [ 31, 92, 255], [ 80, 128, 255], [125, 160, 255], [165, 189, 255], [200, 215, 255], [119, 155, 255], [ 60, 113, 255], [ 32, 92, 255]], [[144, 173, 255], [125, 160, 255], [127, 162, 255], [163, 187, 255], [185, 204, 255], [205, 218, 255], [216, 226, 255], [210, 222, 255], [212, 223, 255], [186, 204, 255], [129, 163, 255], [ 40, 99, 255], [142, 173, 255], [154, 181, 255], [ 9, 76, 255], [ 91, 135, 255], [173, 195, 255], [209, 221, 255], [145, 175, 255], [ 53, 108, 255], [ 9, 76, 255], [ 5, 73, 255]], [[ 62, 114, 255], [ 47, 103, 255], [ 47, 103, 255], [ 70, 120, 255], [ 84, 130, 255], [ 91, 135, 255], [ 93, 137, 255], [ 93, 137, 255], [ 93, 137, 255], [ 82, 129, 255], [ 59, 112, 255], [ 18, 82, 255], [ 60, 113, 255], [ 65, 116, 255], [ 2, 71, 255], [ 38, 97, 255], [ 74, 123, 255], [ 89, 134, 255], [ 55, 109, 255], [ 17, 81, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 1, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 3, 71, 255], [ 3, 71, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]], [[ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255], [ 0, 69, 255]]], dtype=uint8)],([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:38:45.988 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:38:45.990 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:39:31.577 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:39:31.598 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:39:31.623 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:39:31.623 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:39:31.778 [INFO] - 模型初始化时间：0.18051886558532715, requestId:1234 @ ModelUtils.py:107 in __init__ 13:39:31.779 [INFO] - 模型编号: 019 模型参数: ( at 0x7feee6aa25f0>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:39:31.779 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:39:31.782 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], rainbows=([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:39:31.783 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:39:31.784 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:40:31.679 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:40:31.702 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:40:31.728 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:40:31.728 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:40:31.887 [INFO] - 模型初始化时间：0.18517684936523438, requestId:1234 @ ModelUtils.py:107 in __init__ 13:40:31.888 [INFO] - 模型编号: 019 模型参数: ( at 0x7f8f4d962830>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:40:31.888 [INFO] - at 0x7f8f4d97c3a0> @ main.py:67 in 13:40:31.889 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:40:31.892 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], rainbows=([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:40:31.893 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:40:31.894 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:41:19.104 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:41:19.126 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:41:19.152 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:41:19.152 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:41:19.320 [INFO] - 模型初始化时间：0.19472265243530273, requestId:1234 @ ModelUtils.py:107 in __init__ 13:41:19.321 [INFO] - 模型编号: 019 模型参数: ( at 0x7f93bf8fa830>)>, {'model': , 'segmodel': None, 'objectPar': {'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []}, 'segPar': {'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4}, 'mode': 'others', 'postPar': None}, [0, 1, 2, 3], ['车', 'T角点', 'L角点', '违停'], ([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255])) @ main.py:52 in 13:41:19.321 [INFO] - model= at 0x7f93bf9103a0> @ main.py:67 in 13:41:19.321 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:41:19.325 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], rainbows=([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:41:19.326 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:41:19.327 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:41:33.399 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:41:33.420 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:41:33.448 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:41:33.448 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:41:33.625 [INFO] - 模型初始化时间：0.2046341896057129, requestId:1234 @ ModelUtils.py:107 in __init__ 13:41:33.625 [INFO] - model= at 0x7fe14cec03a0> @ main.py:67 in 13:41:33.626 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:290 in get_label_arraylist 13:41:33.629 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], rainbows=([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 13:41:33.630 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 151, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:160 in model_process 13:41:33.631 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 13:46:52.738 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:47:04.293 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:47:28.563 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 13:47:31.817 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:55 in __init__ 13:47:35.475 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 13:47:36.362 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:65 in __init__ 13:48:03.364 [INFO] - 模型初始化时间：34.780102014541626, requestId:1234 @ ModelUtils.py:107 in __init__ 14:04:47.515 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 14:04:47.535 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:56 in __init__ 14:04:47.535 [INFO] - __init__(device=0, allowedList=[0, 1, 2, 3], requestId=1234, modeType=ModelType.ILLPARKING_MODEL, gpu_name=3090, base_dir=/home/thsw/chenbw/DrGraph, env=test) @ ModelUtils.py:58 in __init__ 14:04:47.559 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 14:04:47.560 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:68 in __init__ 14:04:47.705 [INFO] - 模型初始化时间：0.16959834098815918, requestId:1234 @ ModelUtils.py:110 in __init__ 14:04:47.705 [INFO] - model= at 0x7fcede974550> @ main.py:67 in 14:04:47.705 [INFO] - fontPath:./appIOs/conf/platech.ttf @ ModelUtils.py:293 in get_label_arraylist 14:04:47.708 [INFO] - model_process( im0s=[None], model=, segmodel=None, names=['车', 'T角点', 'L角点', '违停'], rainbows=([255, 0, 0], [211, 0, 148], [0, 127, 0], [0, 69, 255], [0, 255, 0], [255, 0, 255], [0, 0, 127], [127, 0, 255], [255, 129, 0], [139, 139, 0], [255, 255, 0], [127, 255, 0], [0, 127, 255], [0, 255, 127], [255, 127, 255], [8, 101, 139], [171, 130, 255], [139, 112, 74], [205, 205, 180], [0, 0, 255]),{'half': True, 'device': device(type='cuda', index=0), 'conf_thres': 0.25, 'ovlap_thres_crossCategory': None, 'iou_thres': 0.25, 'segRegionCnt': 2, 'trtFlag_det': True, 'trtFlag_seg': False, 'score_byClass': None, 'fiterList': []},{'line_thickness': 1, 'boxLine_thickness': 1, 'fontSize': 0.4, 'waterLineColor': (0, 255, 255), 'segLineShow': False, 'waterLineWidth': 1, 'wordSize': 8, 'label_location': 'leftTop'},{'mixFunction': {'function': , 'pars': {}}, 'seg_nclass': 4},others,None) @ aiHelper.py:101 in AI_process 14:04:47.709 [ERROR] - 算法模型分析异常：Traceback (most recent call last): File "/home/thsw/chenbw/DrGraph/appIOs/conf/ModelUtils.py", line 154, in model_process return aiHelper.AI_process([frame], model_param['model'], model_param['segmodel'], names, model_param['label_arraylist'], File "/home/thsw/chenbw/DrGraph/DrUtils/aiHelper.py", line 139, in AI_process half,device,conf_thres,iou_thres,allowedList = objectPar['half'],objectPar['device'],objectPar['conf_thres'],objectPar['iou_thres'],objectPar['allowedList'] KeyError: 'allowedList' , requestId:1234 @ ModelUtils.py:163 in model_process 14:04:47.710 [ERROR] - 异常编码：SP018, 异常描述：算法模型分析异常! @ ModelUtils.py:44 in __str__ 14:05:59.543 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 14:09:47.229 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:56 in __init__ 14:09:50.069 [INFO] - __init__(device=0, allowedList=[0, 1, 2, 3], requestId=1234, modeType=ModelType.ILLPARKING_MODEL, gpu_name=3090, base_dir=/home/thsw/chenbw/DrGraph, env=test) @ ModelUtils.py:58 in __init__ 14:09:53.713 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 14:09:54.929 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:68 in __init__ 14:12:57.575 [INFO] - 模型初始化时间：267.6965844631195, requestId:1234 @ ModelUtils.py:110 in __init__ 14:22:25.623 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 14:23:15.452 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:56 in __init__ 14:23:17.027 [INFO] - __init__(device=0, allowedList=[0, 1, 2, 3], requestId=1234, modeType=ModelType.ILLPARKING_MODEL, gpu_name=3090, base_dir=/home/thsw/chenbw/DrGraph, env=test) @ ModelUtils.py:58 in __init__ 14:25:00.221 [INFO] - select_device YOLOv5 🚀 2025-9-19 torch 2.0.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24258.625MB) @ torchHelper.py:73 in select_device 14:25:08.495 [INFO] - 加载模型：./weights/illParking/yolov5_3090_fp16.engine @ ModelUtils.py:68 in __init__ 14:31:15.038 [INFO] - 模型编号: 019, 检查目标: [0, 1, 2, 3], requestId: 1234 @ main.py:21 in get_model 14:31:28.575 [INFO] - ########################加载车辆违停模型########################, requestId:1234 @ ModelUtils.py:56 in __init__ 14:31:29.837 [INFO] - __init__(device=0, allowedList=[0, 1, 2, 3], requestId=1234, modeType=ModelType.ILLPARKING_MODEL, gpu_name=3090, base_dir=/home/thsw/chenbw/DrGraph, env=test) @ ModelUtils.py:58 in __init__