C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From main.py:56: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.
WARNING:tensorflow:From C:\cfg\DW2TF-master\DW2TF-master\util\cfg_layer.py:32: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "main.py", line 116, in
main(args)
File "main.py", line 57, in main
parse_net(args.layers, args.cfg, args.weights, args.training)
File "main.py", line 25, in parse_net
for ith, layer in enumerate(cfg_walker):
RuntimeError: generator raised StopIteration
HongYg
commented
4 years ago
python main.py --cfg testv3.cfg --weights testv3.weights --output data/ --prefix yolov3/ --gpu 0
C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) WARNING:tensorflow:From main.py:56: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.
WARNING:tensorflow:From C:\cfg\DW2TF-master\DW2TF-master\util\cfg_layer.py:32: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
0 Tensor("yolov3/net1:0", shape=(?, 832, 832, 3), dtype=float32) WARNING:tensorflow:From C:\Users\gaonpf\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py:507: calling Constant.init (from tensorflow.python.ops.init_ops) with verify_shape is deprecated and will be removed in a future version. Instructions for updating: Objects must now be the required shape or no shape can be specified WARNING:tensorflow:From C:\cfg\DW2TF-master\DW2TF-master\util\cfg_layer.py:74: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version. Instructions for updating: Use
tf.keras.layers.Conv2Dinstead. WARNING:tensorflow:From C:\cfg\DW2TF-master\DW2TF-master\util\cfg_layer.py:93: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.BatchNormalization instead. In particular,tf.control_dependencies(tf.GraphKeys.UPDATE_OPS)should not be used (consult thetf.keras.layers.batch_normalizationdocumentation). 1 Tensor("yolov3/convolutional1/Activation:0", shape=(?, 832, 832, 32), dtype=float32) 2 Tensor("yolov3/convolutional2/Activation:0", shape=(?, 416, 416, 64), dtype=float32) 3 Tensor("yolov3/convolutional3/Activation:0", shape=(?, 416, 416, 32), dtype=float32) 4 Tensor("yolov3/convolutional4/Activation:0", shape=(?, 416, 416, 64), dtype=float32) 5 Tensor("yolov3/shortcut1:0", shape=(?, 416, 416, 64), dtype=float32) 6 Tensor("yolov3/convolutional5/Activation:0", shape=(?, 208, 208, 128), dtype=float32) 7 Tensor("yolov3/convolutional6/Activation:0", shape=(?, 208, 208, 64), dtype=float32) 8 Tensor("yolov3/convolutional7/Activation:0", shape=(?, 208, 208, 128), dtype=float32) 9 Tensor("yolov3/shortcut2:0", shape=(?, 208, 208, 128), dtype=float32) 10 Tensor("yolov3/convolutional8/Activation:0", shape=(?, 208, 208, 64), dtype=float32) 11 Tensor("yolov3/convolutional9/Activation:0", shape=(?, 208, 208, 128), dtype=float32) 12 Tensor("yolov3/shortcut3:0", shape=(?, 208, 208, 128), dtype=float32) 13 Tensor("yolov3/convolutional10/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 14 Tensor("yolov3/convolutional11/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 15 Tensor("yolov3/convolutional12/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 16 Tensor("yolov3/shortcut4:0", shape=(?, 104, 104, 256), dtype=float32) 17 Tensor("yolov3/convolutional13/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 18 Tensor("yolov3/convolutional14/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 19 Tensor("yolov3/shortcut5:0", shape=(?, 104, 104, 256), dtype=float32) 20 Tensor("yolov3/convolutional15/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 21 Tensor("yolov3/convolutional16/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 22 Tensor("yolov3/shortcut6:0", shape=(?, 104, 104, 256), dtype=float32) 23 Tensor("yolov3/convolutional17/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 24 Tensor("yolov3/convolutional18/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 25 Tensor("yolov3/shortcut7:0", shape=(?, 104, 104, 256), dtype=float32) 26 Tensor("yolov3/convolutional19/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 27 Tensor("yolov3/convolutional20/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 28 Tensor("yolov3/shortcut8:0", shape=(?, 104, 104, 256), dtype=float32) 29 Tensor("yolov3/convolutional21/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 30 Tensor("yolov3/convolutional22/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 31 Tensor("yolov3/shortcut9:0", shape=(?, 104, 104, 256), dtype=float32) 32 Tensor("yolov3/convolutional23/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 33 Tensor("yolov3/convolutional24/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 34 Tensor("yolov3/shortcut10:0", shape=(?, 104, 104, 256), dtype=float32) 35 Tensor("yolov3/convolutional25/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 36 Tensor("yolov3/convolutional26/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 37 Tensor("yolov3/shortcut11:0", shape=(?, 104, 104, 256), dtype=float32) 38 Tensor("yolov3/convolutional27/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 39 Tensor("yolov3/convolutional28/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 40 Tensor("yolov3/convolutional29/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 41 Tensor("yolov3/shortcut12:0", shape=(?, 52, 52, 512), dtype=float32) 42 Tensor("yolov3/convolutional30/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 43 Tensor("yolov3/convolutional31/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 44 Tensor("yolov3/shortcut13:0", shape=(?, 52, 52, 512), dtype=float32) 45 Tensor("yolov3/convolutional32/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 46 Tensor("yolov3/convolutional33/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 47 Tensor("yolov3/shortcut14:0", shape=(?, 52, 52, 512), dtype=float32) 48 Tensor("yolov3/convolutional34/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 49 Tensor("yolov3/convolutional35/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 50 Tensor("yolov3/shortcut15:0", shape=(?, 52, 52, 512), dtype=float32) 51 Tensor("yolov3/convolutional36/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 52 Tensor("yolov3/convolutional37/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 53 Tensor("yolov3/shortcut16:0", shape=(?, 52, 52, 512), dtype=float32) 54 Tensor("yolov3/convolutional38/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 55 Tensor("yolov3/convolutional39/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 56 Tensor("yolov3/shortcut17:0", shape=(?, 52, 52, 512), dtype=float32) 57 Tensor("yolov3/convolutional40/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 58 Tensor("yolov3/convolutional41/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 59 Tensor("yolov3/shortcut18:0", shape=(?, 52, 52, 512), dtype=float32) 60 Tensor("yolov3/convolutional42/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 61 Tensor("yolov3/convolutional43/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 62 Tensor("yolov3/shortcut19:0", shape=(?, 52, 52, 512), dtype=float32) 63 Tensor("yolov3/convolutional44/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 64 Tensor("yolov3/convolutional45/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 65 Tensor("yolov3/convolutional46/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 66 Tensor("yolov3/shortcut20:0", shape=(?, 26, 26, 1024), dtype=float32) 67 Tensor("yolov3/convolutional47/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 68 Tensor("yolov3/convolutional48/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 69 Tensor("yolov3/shortcut21:0", shape=(?, 26, 26, 1024), dtype=float32) 70 Tensor("yolov3/convolutional49/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 71 Tensor("yolov3/convolutional50/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 72 Tensor("yolov3/shortcut22:0", shape=(?, 26, 26, 1024), dtype=float32) 73 Tensor("yolov3/convolutional51/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 74 Tensor("yolov3/convolutional52/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 75 Tensor("yolov3/shortcut23:0", shape=(?, 26, 26, 1024), dtype=float32) 76 Tensor("yolov3/convolutional53/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 77 Tensor("yolov3/convolutional54/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 78 Tensor("yolov3/convolutional55/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 79 Tensor("yolov3/convolutional56/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 80 Tensor("yolov3/convolutional57/Activation:0", shape=(?, 26, 26, 512), dtype=float32) 81 Tensor("yolov3/convolutional58/Activation:0", shape=(?, 26, 26, 1024), dtype=float32) 82 Tensor("yolov3/convolutional59/BiasAdd:0", shape=(?, 26, 26, 255), dtype=float32) 83 Tensor("yolov3/convolutional59/BiasAdd:0", shape=(?, 26, 26, 255), dtype=float32) 84 Tensor("yolov3/route1:0", shape=(?, 26, 26, 512), dtype=float32) 85 Tensor("yolov3/convolutional60/Activation:0", shape=(?, 26, 26, 256), dtype=float32) WARNING:tensorflow:From C:\cfg\DW2TF-master\DW2TF-master\util\cfg_layer.py:164: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.86 Tensor("yolov3/upsample1:0", shape=(?, 52, 52, 256), dtype=float32) 87 Tensor("yolov3/route2:0", shape=(?, 52, 52, 768), dtype=float32) 88 Tensor("yolov3/convolutional61/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 89 Tensor("yolov3/convolutional62/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 90 Tensor("yolov3/convolutional63/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 91 Tensor("yolov3/convolutional64/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 92 Tensor("yolov3/convolutional65/Activation:0", shape=(?, 52, 52, 256), dtype=float32) 93 Tensor("yolov3/convolutional66/Activation:0", shape=(?, 52, 52, 512), dtype=float32) 94 Tensor("yolov3/convolutional67/BiasAdd:0", shape=(?, 52, 52, 255), dtype=float32) 95 Tensor("yolov3/convolutional67/BiasAdd:0", shape=(?, 52, 52, 255), dtype=float32) 96 Tensor("yolov3/route3:0", shape=(?, 52, 52, 256), dtype=float32) 97 Tensor("yolov3/convolutional68/Activation:0", shape=(?, 52, 52, 128), dtype=float32) 98 Tensor("yolov3/upsample2:0", shape=(?, 104, 104, 128), dtype=float32) 99 Tensor("yolov3/route4:0", shape=(?, 104, 104, 384), dtype=float32) 100 Tensor("yolov3/convolutional69/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 101 Tensor("yolov3/convolutional70/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 102 Tensor("yolov3/convolutional71/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 103 Tensor("yolov3/convolutional72/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 104 Tensor("yolov3/convolutional73/Activation:0", shape=(?, 104, 104, 128), dtype=float32) 105 Tensor("yolov3/convolutional74/Activation:0", shape=(?, 104, 104, 256), dtype=float32) 106 Tensor("yolov3/convolutional75/BiasAdd:0", shape=(?, 104, 104, 24), dtype=float32) 107 Tensor("yolov3/convolutional75/BiasAdd:0", shape=(?, 104, 104, 24), dtype=float32) Traceback (most recent call last): File "C:\cfg\DW2TF-master\DW2TF-master\util\reader.py", line 84, in get_block line = next(line_getter) StopIteration
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "main.py", line 116, in
main(args)
File "main.py", line 57, in main
parse_net(args.layers, args.cfg, args.weights, args.training)
File "main.py", line 25, in parse_net
for ith, layer in enumerate(cfg_walker):
RuntimeError: generator raised StopIteration
why?