Tensorflow 获取原始帧而不是边界框绘制帧

Question

我正在使用来自 tensorflow github 模型的 object_detection.ipnyb 我修改它以处理视频。现在我想要做的是在 if 条件下获取未修改的框架。（标记为 << HERE >> ）。我尝试将我的框架保存在一个变量 imageOrg 中，但不确定为什么它不起作用。

check=0
count=0
accidents=0
accident=False
prevdate=datetime.datetime.now()
#currdate=datetime.datetime.now()
with detection_graph.as_default():
  with tf.Session(graph=detection_graph) as sess:
    while True:
      accident=False
      ret, image_np = cap.read()
      imageOrg=image_np
      image_np_expanded = np.expand_dims(image_np, axis=0)
      image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
      boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
      scores = detection_graph.get_tensor_by_name('detection_scores:0')
      classes = detection_graph.get_tensor_by_name('detection_classes:0')
      num_detections = detection_graph.get_tensor_by_name('num_detections:0')

      (boxes, scores, classes, num_detections) = sess.run(
          [boxes, scores, classes, num_detections],
          feed_dict={image_tensor: image_np_expanded})

      vis_util.visualize_boxes_and_labels_on_image_array(
          image_np,
          np.squeeze(boxes),
          np.squeeze(classes).astype(np.int32),
          np.squeeze(scores),
          category_index,
          use_normalized_coordinates=True,
          line_thickness=8)
      for index,value in enumerate(classes[0]):
        if scores[0,index] > 0.5:
          list1 = [[category_index.get(value)]]
          for i in list1:
            for j in i:
              if j['name'] == 'accident':
                accident=True
                accidents = accidents + 1
                #print(accidents)
                if(check == 0 and accidents > 5): << HERE>
                    << GET ORIGNIAL NON-MODIFIED FRAME HERE ?? >>
                count = count + 1
                if(check==1):
                    accidents=0
        if accident==False:
            accidents=0
      cv2.imshow(videofile[0], cv2.resize(image_np, (600,600)))
      if cv2.waitKey(20) & 0xFF == ord('n'):
          current = int(cap.get(cv2.CAP_PROP_POS_FRAMES))
          print(current)
          cap.set(cv2.CAP_PROP_POS_FRAMES,current+50)

      if cv2.waitKey(20) & 0xFF == ord('p'):
          current = int(cap.get(cv2.CAP_PROP_POS_FRAMES))
          print(current)
          cap.set(cv2.CAP_PROP_POS_FRAMES,current-50)

      if cv2.waitKey(20) & 0xFF == ord('q'):
        cv2.destroyAllWindows()
        break

Answer 1

我使用

修复了它

import crop
imageOrg = copy.copy(image_np)

Tensorflow 获取原始帧而不是边界框绘制帧

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