tingtingliangvs
commented
7 years ago I didn't copy the whole vgg16.npy to the folder...
Closed tingtingliangvs closed 7 years ago
tingtingliangvs
commented
7 years ago I didn't copy the whole vgg16.npy to the folder...
Hello Marvin, When I ran train.py, I met this: 2017-05-15 19:54:38,264 INFO No environment variable 'TV_PLUGIN_DIR' found. Set to '/home/liangtingting/tv-plugins'. 2017-05-15 19:54:38,265 INFO No environment variable 'TV_STEP_SHOW' found. Set to '50'. 2017-05-15 19:54:38,265 INFO No environment variable 'TV_STEP_EVAL' found. Set to '250'. 2017-05-15 19:54:38,265 INFO No environment variable 'TV_STEP_WRITE' found. Set to '1000'. 2017-05-15 19:54:38,265 INFO No environment variable 'TV_MAX_KEEP' found. Set to '10'. 2017-05-15 19:54:38,265 INFO No environment variable 'TV_STEP_STR' found. Set to 'Step {step}/{total_steps}: loss = {loss_value:.2f}; lr = {lr_value:.2e}; {sec_per_batch:.3f} sec (per Batch); {examples_per_sec:.1f} imgs/sec'. 2017-05-15 19:54:38,266 INFO f: <open file 'hypes/KittiSeg.json', mode 'r' at 0x7fe97bb2b810> 2017-05-15 19:54:38,267 INFO Initialize training folder 2017-05-15 19:54:38,303 INFO Start training 2017-05-15 19:54:38.304873: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-05-15 19:54:38.304906: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-05-15 19:54:38.304919: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. Traceback (most recent call last): File "train.py", line 131, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "train.py", line 127, in main
train.do_training(hypes)
File "incl/tensorvision/train.py", line 377, in do_training
tv_graph = core.build_training_graph(hypes, queue, modules)
File "incl/tensorvision/core.py", line 85, in build_training_graph
logits = encoder.inference(hypes, image, train=True)
File "/home/liangtingting/KittiSeg/hypes/../encoder/fcn8_vgg.py", line 34, in inference
vgg_fcn = fcn8_vgg.FCN8VGG(vgg16_npy_path=vgg16_npy_path)
File "incl/tensorflow_fcn/fcn8_vgg.py", line 33, in init
self.data_dict = np.load(vgg16_npy_path, encoding='latin1').item()
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 419, in load
pickle_kwargs=pickle_kwargs)
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/format.py", line 640, in read_array
array = pickle.load(fp, **pickle_kwargs)
EOFError
My tensorflow version is 1.0.1, and python version 2.7.12. Can you help me?