1报出新问题时同时绘制出其他问题；2新问题会以置信度分数为黑色字体显示，其他为白色

concurrency/FileUploadThread.py

                     if len(target_list) > 0:
                         aFrame = frame.copy()
                         for target in target_list:
-                            draw_painting_joint(target[1], aFrame, target[3], target[2], target[4], font_config)
+                            draw_painting_joint(target[1], aFrame, target[3], target[2], target[4], font_config, target[4])
                         model_info.append({"modelCode": str(code), "detectTargetCode": str(cls), "aFrame": aFrame})
         if len(model_info) > 0:
             image_result = {

concurrency/PushVideoStreamProcess.py

                                             qs_np_tmp = np.append(qs_np_tmp,qs_np_id,axis=0)
                                     qs_np_tmp[:, 11] += 1
                                     qs_np_tmp = np.delete(qs_np_tmp, np.where((qs_np_tmp[:, 11] >= 75))[0], axis=0)
-                                for q in qs_reurn:
-                                    if q[11] == 0:
-                                        cls = int(q[9])
-                                        code = str(int(q[10])).zfill(3)
-                                        if det_xywh2.get(code) is None:
-                                            det_xywh2[code] = {}
-                                        cd = det_xywh2[code].get(cls)
-                                        score = q[8]
-                                        rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
-                                        label_array, color = label_arrays[cls], rainbows[cls]
-                                        box = [(int(q[0]), int(q[1])), (int(q[2]), int(q[3])), 
-                                                   (int(q[4]), int(q[5])), (int(q[6]), int(q[7]))]
-                                        if cd is None:
-                                            det_xywh2[code][cls] = [[cls, box, score, label_array, color]] 
-                                        else:
-                                            det_xywh2[code][cls].append([cls, box, score, label_array, color])
-                                if len(det_xywh2) > 0:
-                                    put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
+                                has = False
+                                for j in qs_reurn:
+                                    if j[11] == 0:
+                                        has = True
+                                        break
+                                if has:
+                                    for q in qs_reurn:
+                                        if q[11] == 0:
+                                            cls = int(q[9])
+                                            code = str(int(q[10])).zfill(3)
+                                            if det_xywh2.get(code) is None:
+                                                det_xywh2[code] = {}
+                                            cd = det_xywh2[code].get(cls)
+                                            score = q[8]
+                                            rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
+                                            label_array, color = label_arrays[cls], rainbows[cls]
+                                            box = [(int(q[0]), int(q[1])), (int(q[2]), int(q[3])), 
+                                                    (int(q[4]), int(q[5])), (int(q[6]), int(q[7]))]
+                                            is_new = False
+                                            if q[11] == 0:
+                                                is_new = True
+                                            if cd is None:
+                                                det_xywh2[code][cls] = [[cls, box, score, label_array, color, is_new]] 
+                                            else:
+                                                det_xywh2[code][cls].append([cls, box, score, label_array, color, is_new])
+                                    if len(det_xywh2) > 0:
+                                        put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
 
                                 push_p = push_stream_result.result(timeout=60)
                                 ai_video_file = write_ai_video_result.result(timeout=60)
                                             qs_np_tmp = np.append(qs_np_tmp,qs_np_id,axis=0)
                                     qs_np_tmp[:, 11] += 1
                                     qs_np_tmp = np.delete(qs_np_tmp, np.where((qs_np_tmp[:, 11] >= 75))[0], axis=0)
-                                for q in qs_reurn:
-                                    if q[11] == 0:
-                                        cls = int(q[9])
-                                        code = str(int(q[10])).zfill(3)
-                                        if det_xywh2.get(code) is None:
-                                            det_xywh2[code] = {}
-                                        cd = det_xywh2[code].get(cls)
-                                        score = q[8]
-                                        rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
-                                        label_array, color = label_arrays[cls], rainbows[cls]
-                                        box = [(int(q[0]), int(q[1])), (int(q[2]), int(q[3])), 
-                                                   (int(q[4]), int(q[5])), (int(q[6]), int(q[7]))]
-                                        if cd is None:
-                                            det_xywh2[code][cls] = [[cls, box, score, label_array, color]] 
-                                        else:
-                                            det_xywh2[code][cls].append([cls, box, score, label_array, color])
-                                if len(det_xywh2) > 0:
-                                    put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
+                                has = False
+                                for j in qs_reurn:
+                                    if j[11] == 0:
+                                        has = True
+                                        break
+                                if has:
+                                    for q in qs_reurn:
+                                        if q[11] == 0:
+                                            cls = int(q[9])
+                                            code = str(int(q[10])).zfill(3)
+                                            if det_xywh2.get(code) is None:
+                                                det_xywh2[code] = {}
+                                            cd = det_xywh2[code].get(cls)
+                                            score = q[8]
+                                            rainbows, label_arrays = draw_config[code]["rainbows"], draw_config[code]["label_arrays"]
+                                            label_array, color = label_arrays[cls], rainbows[cls]
+                                            box = [(int(q[0]), int(q[1])), (int(q[2]), int(q[3])), 
+                                                    (int(q[4]), int(q[5])), (int(q[6]), int(q[7]))]
+                                            is_new = False
+                                            if q[11] == 0:
+                                                is_new = True
+                                            if cd is None:
+                                                det_xywh2[code][cls] = [[cls, box, score, label_array, color, is_new]] 
+                                            else:
+                                                det_xywh2[code][cls].append([cls, box, score, label_array, color, is_new])
+                                    if len(det_xywh2) > 0:
+                                        put_queue(image_queue, (1, [det_xywh2, frame, frame_index_list[i], all_frames, draw_config["font_config"]]))
                                 push_p = push_stream_result.result(timeout=60)
                                 ai_video_file = write_ai_video_result.result(timeout=60)
                         # 接收停止指令

enums/ModelTypeEnum.py

             'dmprimg_size': 640,
             'mixFunction': {
                 'function': dmpr_yolo,
-                'pars': {'carCls': 0, 'illCls': 3}
+                'pars': {'carCls': 0, 'illCls': 3, 'scaleRatio': 0.5}
             }
         },
         'postFile': {
             "name": "post_process",
-            "conf_thres": 0.25,
+            "conf_thres": 0.8,
             "iou_thres": 0.45,
             "classes": 5,
             "rainbows": COLOR

enums/ModelTypeEnum2.py

             'dmprimg_size': 640,
             'mixFunction': {
                 'function': dmpr_yolo,
-                'pars': {'carCls': 0, 'illCls': 3}
+                'pars': {'carCls': 0, 'illCls': 3, 'scaleRatio': 0.5}
             }
         },
         'Segweights': '../AIlib2/weights/cityMangement2/dmpr_%s.engine' % gpuName,
         'postFile': {
             "name": "post_process",
-            "conf_thres": 0.25,
+            "conf_thres": 0.8,
             "iou_thres": 0.45,
             "classes": 5,
             "rainbows": COLOR

util/PlotsUtils.py

     return np.asarray(param[0][0:4], np.int32), float(param[1]), int(param[2])
 
 
-def draw_painting_joint(box, img, label_array, score=0.5, color=None, config=None):
+def draw_painting_joint(box, img, label_array, score=0.5, color=None, config=None, isNew=False):
     # 识别问题描述图片的高、宽
     lh, lw = label_array.shape[0:2]
     # 图片的长度和宽度
     8. lineType：线条的类型，可以是cv2.LINE_AA表示抗锯齿线条，或cv2.LINE_4表示4连通线条，或cv2.LINE_8表示8连通线条。默认值为cv2.LINE_8。
     9. bottomLeftOrigin：文本起始位置是否为左下角。如果为True，则文本起始位置为左下角，否则为左上角。默认值为False。
     '''
-    cv2.putText(img, label, p3, 0, config[3], [225, 255, 255], thickness=config[4], lineType=cv2.LINE_AA)
+    if isNew:
+        cv2.putText(img, label, p3, 0, config[3], [0, 0, 0], thickness=config[4], lineType=cv2.LINE_AA)
+    else:
+        cv2.putText(img, label, p3, 0, config[3], [225, 255, 255], thickness=config[4], lineType=cv2.LINE_AA)
     return img, box
 
 def filterBox(det0, det1, pix_dis):