Question

Tensorflow 1.12.0 Python 3.5.0 Windows 10

大家好，我已经基于tensorflows对象检测教程创建了自己的对象检测模型。我想在检测到对象时通过SMS通知（通过twilio之类的服务），但是我不想被同一对象类的每一帧都通知，而是希望在对象，即每次调用之间至少间隔5秒。我已经研究了线程和计时器，但是担心每次调用都会重新启动线程和计时器，并且想知道它们是否是通过对象检测API来完成此任务的更有效方法。我知道我可以打印通过

检测到的实际课程

print [category_index.get(value) for index,value in enumerate(classes[0]) if scores[0,index] > 0.5]

在代码中

with detection_graph.as_default():
  with tf.Session(graph=detection_graph) as sess:
    while True:
      ret, image_np = cap.read()
      # Expand dimensions since the model expects images to have shape: [1, None, None, 3]
      image_np_expanded = np.expand_dims(image_np, axis=0)
      image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
      # Each box represents a part of the image where a particular object was detected.
      boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
      # Each score represent how level of confidence for each of the objects.
      # Score is shown on the result image, together with the class label.
      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')
      # Actual detection.
      (boxes, scores, classes, num_detections) = sess.run(
          [boxes, scores, classes, num_detections],
          feed_dict={image_tensor: image_np_expanded})
      # Visualization of the results of a detection.
      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)

      cv2.imshow('object detection', cv2.resize(image_np, (800,600)))
      if cv2.waitKey(25) & 0xFF == ord('q'):
        cv2.destroyAllWindows()
        break

但是再一次，我不希望手机短信过多，也不希望我的脚本暂停。.如果可以给出任何建议，我将不胜感激。谢谢你们。

Answer 1

而不是计时器，请尝试使用计数器对检测到它的帧进行计数。

每10帧左右重置一次计数器。

Tensor流对象检测API通知

1 个答案: