in
38 input_image_shape = K.placeholder(shape=(2, ))
39 boxes, scores, classes = yolo_eval(yolo_model.output, anchors, len(class_names), input_image_shape,
---> 40 score_threshold=0.3, iou_threshold=0.45)
41
42 print("YOLO model ready!")
~/library/Mod04/01-Yolo/yolo_keras/model.py in yolo_eval(yolo_outputs, anchors, num_classes, image_shape, max_boxes, score_threshold, iou_threshold)
213 for c in range(num_classes):
214 # TODO: use keras backend instead of tf.
--> 215 class_boxes = tf.boolean_mask(boxes, mask[:, c])
216 class_box_scores = tf.boolean_mask(box_scores[:, c], mask[:, c])
217 nms_index = tf.image.non_max_suppression(
~/anaconda3_501/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py in wrapper(*args, **kwargs)
~/anaconda3_501/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in boolean_mask_v2(tensor, mask, axis, name)
1423 # [[7, 10],
1424 # [8, 11],
-> 1425 # [9, 12]]]
1426 ```
1427
~/anaconda3_501/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in boolean_mask(tensor, mask, name, axis)
1352 name: A name for the operation (optional).
1353
-> 1354 Returns:
1355 if `num_or_size_splits` is a scalar returns `num_or_size_splits` `Tensor`
1356 objects; if `num_or_size_splits` is a 1-D Tensor returns
ValueError: Number of mask dimensions must be specified, even if some dimensions are None. E.g. shape=[None] is ok, but shape=None is not.
some one please help me with this issue
ValueError Traceback (most recent call last)