Tensorflow對象檢測Api框座標

Question

我在自定義對象上使用了tensorflow對象檢測API。模型完美運行，但現在我想知道框的座標。是否有辦法知道檢測到的每個對象的框的座標？

Answer 1

看一看教程IPython的筆記本，還有他們用來做檢測（link to github）代碼：

with detection_graph.as_default(): 
    with tf.Session(graph=detection_graph) as sess: 
    # Definite input and output Tensors for detection_graph 
    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. 
    detection_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. 
    detection_scores = detection_graph.get_tensor_by_name('detection_scores:0') 
    detection_classes = detection_graph.get_tensor_by_name('detection_classes:0') 
    num_detections = detection_graph.get_tensor_by_name('num_detections:0') 
    for image_path in TEST_IMAGE_PATHS: 
     image = Image.open(image_path) 
     # the array based representation of the image will be used later in order to prepare the 
     # result image with boxes and labels on it. 
     image_np = load_image_into_numpy_array(image) 
     # Expand dimensions since the model expects images to have shape: [1, None, None, 3] 
     image_np_expanded = np.expand_dims(image_np, axis=0) 
     # Actual detection. 
     (boxes, scores, classes, num) = sess.run(
      [detection_boxes, detection_scores, detection_classes, num_detections], 
      feed_dict={image_tensor: image_np_expanded}) 

他們獲取存儲在框中變量的座標。