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トップに関する質問Windows 10 で YOLOv3 を自前画像で学習させる（物体検出編）【機械学習】

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2

書式の改善

2021/02/16 05:06

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- (tf114) C:\Users\std09\Downloads\keras-yolo3\keras-yolo3-master>python train.py
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+ (tf114) C:\keras-yolo3\keras-yolo3-master>python train.py
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  Using TensorFlow backend.
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@@ -54,27 +54,141 @@
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  np_resource = np.dtype([("resource", np.ubyte, 1)])
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:95: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:98: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:102: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
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+ 2021-02-16 14:07:39.385171: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
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+ 2021-02-16 14:07:39.389988: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library nvcuda.dll
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+ 2021-02-16 14:07:39.392874: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error
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+ 2021-02-16 14:07:39.397734: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: ELNET09
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+ 2021-02-16 14:07:39.399635: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: ELNET09
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:1919: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
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+ Create YOLOv3 model with 9 anchors and 2 classes.
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_59 due to mismatch in shape ((1, 1, 1024, 21) vs (255, 1024, 1, 1)).
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+ weight_values[i].shape))
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_59 due to mismatch in shape ((21,) vs (255,)).
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+ weight_values[i].shape))
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_67 due to mismatch in shape ((1, 1, 512, 21) vs (255, 512, 1, 1)).
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+ weight_values[i].shape))
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_67 due to mismatch in shape ((21,) vs (255,)).
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+ weight_values[i].shape))
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_75 due to mismatch in shape ((1, 1, 256, 21) vs (255, 256, 1, 1)).
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+ weight_values[i].shape))
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+ C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\saving.py:1140: UserWarning: Skipping loading of weights for layer conv2d_75 due to mismatch in shape ((21,) vs (255,)).
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+ weight_values[i].shape))
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+ Load weights model_data/yolo_weights.h5.
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+ Freeze the first 249 layers of total 252 layers.
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+ WARNING:tensorflow:From C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py:3080: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
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+ Instructions for updating:
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+ Use tf.where in 2.0, which has the same broadcast rule as np.where
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+ Train on 42 samples, val on 4 samples, with batch size 32.
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+ Epoch 1/50
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  Traceback (most recent call last):
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  File "train.py", line 190, in <module>
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  _main()
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- File "train.py", line 33, in _main
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+ File "train.py", line 65, in _main
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- freeze_body=2, weights_path='model_data/yolo_weights.h5') # make sure you know what you freeze
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+ callbacks=[logging, checkpoint])
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- File "train.py", line 108, in create_model
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
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- K.clear_session() # get a new session
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+ return func(*args, **kwargs)
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- File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\backend\tensorflow_backend.py", line 102, in clear_session
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
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- _GRAPH_LEARNING_PHASES[tf.compat.v1.get_default_graph] = phase
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+ initial_epoch=initial_epoch)
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\engine\training_generator.py", line 181, in fit_generator
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+ generator_output = next(output_generator)
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\utils\data_utils.py", line 709, in get
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+ six.reraise(*sys.exc_info())
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\six.py", line 703, in reraise
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+ raise value
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\utils\data_utils.py", line 685, in get
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+ inputs = self.queue.get(block=True).get()
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\multiprocessing\pool.py", line 657, in get
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+ raise self._value
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\multiprocessing\pool.py", line 121, in worker
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+ result = (True, func(*args, **kwds))
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\keras\utils\data_utils.py", line 626, in next_sample
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+ return six.next(_SHARED_SEQUENCES[uid])
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+ File "train.py", line 175, in data_generator
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+ image, box = get_random_data(annotation_lines[i], input_shape, random=True)
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+ File "C:\keras-yolo3\keras-yolo3-master\yolo3\utils.py", line 39, in get_random_data
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+ image = Image.open(line[0])
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+ File "C:\Users\std09\Anaconda3\envs\tf114\lib\site-packages\PIL\Image.py", line 2904, in open
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+ fp = builtins.open(filename, "rb")
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+ FileNotFoundError: [Errno 2] No such file or directory: 'image_015'
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+ 最後のエラーはやるたびにimage_015の数字が変わります。
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  [参考文献]
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1

書式の改善

2021/02/16 05:05

投稿

ban.
ban.

スコア4

test CHANGED
File without changes
test CHANGED
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  _GRAPH_LEARNING_PHASES[tf.compat.v1.get_default_graph] = phase
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  [参考文献]