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Traceback (most recent call last):
File "C:\Users\Tensorflow\models\research\object_detection\Object_detection_image.py", line 96, in
(boxes, scores, classes, num) = sess.run([detection_boxes, detection_scores, detection_classes, num_detections],feed_dict={image_tensor: image_expanded})
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\tensorflow\python\client\session.py", line 950, in run
run_metadata_ptr)
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\tensorflow\python\client\session.py", line 1142, in _run
np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\numpy\core\numeric.py", line 538, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
The text was updated successfully, but these errors were encountered:
i use tensorflow 1.14 with version of cuda and cnn 10 in virtual enviroment with anaconda and follow the steps on https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
i train the model but when i want to validate with image i have the issues
Traceback (most recent call last):
File "C:\Users\Tensorflow\models\research\object_detection\Object_detection_image.py", line 96, in
(boxes, scores, classes, num) = sess.run([detection_boxes, detection_scores, detection_classes, num_detections],feed_dict={image_tensor: image_expanded})
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\tensorflow\python\client\session.py", line 950, in run
run_metadata_ptr)
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\tensorflow\python\client\session.py", line 1142, in _run
np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
File "D:\Users\Cristian\Miniconda3\envs\tf14\lib\site-packages\numpy\core\numeric.py", line 538, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
The text was updated successfully, but these errors were encountered: