dsp支持图片分析

.idea/workspace.xml

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+      <change beforePath="$PROJECT_DIR$/test/baidusdk/baidusdk.py" beforeDir="false" afterPath="$PROJECT_DIR$/test/baidusdk/baidusdk.py" afterDir="false" />
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       <envs>
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-      <option name="SDK_HOME" value="sftp://thsw2@192.168.10.66:22/home/thsw2/anaconda3/envs/chenyukun/bin/python3.8" />
-      <option name="WORKING_DIRECTORY" value="/home/DATA/chenyukun/fk" />
+      <option name="SDK_HOME" value="sftp://dell@192.168.10.12:22/home/dell/anaconda3/envs/prod/bin/python3.8" />
+      <option name="WORKING_DIRECTORY" value="/home/chenyukun/fk" />
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       <option name="ADD_CONTENT_ROOTS" value="true" />
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-      <option name="SCRIPT_NAME" value="/home/DATA/chenyukun/fk/test/baidusdk/baidusdk.py" />
+      <option name="SCRIPT_NAME" value="/home/chenyukun/fk/test/baidusdk/baidusdk.py" />
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+      <workItem from="1668495580103" duration="3688000" />
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+    <SUITE FILE_PATH="coverage/tuoheng_fk_python$baidusdk.coverage" NAME="baidusdk 覆盖结果" MODIFIED="1668497658048" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="/home/chenyukun/fk" />
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test/baidusdk/baidusdk.py

                      'yp7xBokyl4TItyGhay7skAN1cMwfvEXf')
 # client = AipOcr(str(28324292), 'l58x9bqCsPOpyexGqrM86jhy',
 #                 '1qECRaULUZBfOPejVIWUGLahUHGMQoni')
-im0 = cv2.imread('/home/thsw2/tuo_heng/prod/healthCode/imgs/pff9504t6fd_1667544805350.jfif')
+im0 = cv2.imread('/home/chenyukun/healthCode/imgs/jkm/1668493089006.jpg')
 
 or_result, or_image = cv2.imencode(".jpg", im0)
 # with open("/home/chenyukun/fk/fk_application.yml", 'r', encoding='utf-8') as f:

util/ModelUtils.py

 class Model():
     def __init__(self):
         self.par = {'code': {'weights': '../healthCode/weights/health_yolov5s_v3.jit', 'img_type': 'code', 'nc': 10},
-                    'plate': {'weights': '../healthCode/weights/plate_yolov5s_v2.jit', 'img_type': 'plate', 'nc': 1},
+                    'plate': {'weights': '../healthCode/weights/plate_yolov5s_v3.jit', 'img_type': 'plate', 'nc': 1},
                     'conf_thres': 0.4,
                     'iou_thres': 0.45,
                     'device': 'cuda:0',
                     'plate_dilate': (0.5, 0.3)
                     }
+
         ###加载模型
         self.device = torch.device(self.par['device'])
         self.model = torch.jit.load(self.par['code']['weights'])