Ggtcf

I tried running tensorflow object detection API on Colab according to here.

However, such an error occurred How can I solve it?

I tried step1.2.3.4.
They maybe run.

 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)
 # 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)
 plt.figure(figsize=IMAGE_SIZE)
 plt.imshow(image_np)

The error I receive is:

NameError 
Traceback (most recent call last)
<ipython-input-24-7493eea60222> in <module>()
10 detection_classes = 
detection_graph.get_tensor_by_name('detection_classes:0')
11 num_detections = 
detection_graph.get_tensor_by_name('num_detections:0')
---> 12 for image_path in TEST_IMAGE_PATHS:
13 image = Image.open(image_path)
14 # the array based representation of the image will be used later in order to prepare the

NameError: name 'TEST_IMAGE_PATHS' is not defined

On Analysing your code,it shows you are not running it in Colab.

The error occurs just because you are not initialising the path of test images directory.

while the for loop searches for images in path it throws the error.
so please initialise the path like the blow mentioned code.

PATH_TO_TEST_IMAGES_DIR = 'test_images'
TEST_IMAGE_PATHS = [ os.path.join(PATH_TO_TEST_IMAGES_DIR, 'image-.jpg'.format(i)) for i in range(1, 4) ]

Try this..