周四回来要做的事情

(tensorflowgpu) D:\Download-of-Chrome\Faster-RCNN-TensorFlow-Python3.5-master>python train.py
Loaded dataset `voc_2007_trainval` for training
Set proposal method: gt
Appending horizontally-flipped training examples...
wrote gt roidb to D:\Download-of-Chrome\Faster-RCNN-TensorFlow-Python3.5-master\data\cache\voc_2007_trainval_gt_roidb.pkl
done
Preparing training data...
done
2019-06-18 20:04:52.594078: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-06-18 20:04:52.971914: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: GeForce GTX 1060 6GB major: 6 minor: 1 memoryClockRate(GHz): 1.7085
pciBusID: 0000:01:00.0
totalMemory: 6.00GiB freeMemory: 4.96GiB
2019-06-18 20:04:52.977907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-06-18 20:04:54.417458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-06-18 20:04:54.420363: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0
2019-06-18 20:04:54.421951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N
2019-06-18 20:04:54.426075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4714 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060 6GB, pci bus id: 0000:01:00.0, compute capability: 6.1)
WARNING:tensorflow:From D:\Download-of-Chrome\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py:57: calling expand_dims (from tensorflow.python.ops.array_ops) with dim is deprecated and will be removed in a future version.
Instructions for updating:
Use the `axis` argument instead
C:\Users\DRL\Anaconda3\envs\tensorflowgpu\lib\site-packages\tensorflow\python\ops\gradients_impl.py:112: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
  "Converting sparse IndexedSlices to a dense Tensor of unknown shape. "
Loading initial model weights from ./data/imagenet_weights/vgg16.ckpt
2019-06-18 20:04:55.428789: W tensorflow/core/framework/allocator.cc:122] Allocation of 411041792 exceeds 10% of system memory.
2019-06-18 20:04:55.714509: W tensorflow/core/framework/allocator.cc:122] Allocation of 411041792 exceeds 10% of system memory.
2019-06-18 20:04:56.225957: W tensorflow/core/framework/allocator.cc:122] Allocation of 411041792 exceeds 10% of system memory.
2019-06-18 20:04:56.464735: W tensorflow/core/framework/allocator.cc:122] Allocation of 411041792 exceeds 10% of system memory.
2019-06-18 20:04:56.697003: W tensorflow/core/framework/allocator.cc:122] Allocation of 411041792 exceeds 10% of system memory.
2019-06-18 20:04:58.240747: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open .\data\imagenet_weights\vgg16.ckpt: Data loss: file is too short to be an sstable: perhaps your file is in a different file format and you need to use a different restore operator?
Unable to open table file .\data\imagenet_weights\vgg16.ckpt: Data loss: file is too short to be an sstable: perhaps your file is in a different file format and you need to use a different restore operator?
Traceback (most recent call last):
  File "train.py", line 216, in <module>
    train.train()
  File "train.py", line 123, in train
    variables_to_restore = self.net.get_variables_to_restore(variables, var_keep_dic)
  File "D:\Download-of-Chrome\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\vgg16.py", line 66, in get_variables_to_restore
    if v.name.split(':')[0] in var_keep_dic:
TypeError: argument of type 'NoneType' is not iterable

(tensorflowgpu) D:\Download-of-Chrome\Faster-RCNN-TensorFlow-Python3.5-master>pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
周四回来要做的事情

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