dbeker/faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

tf-faster-rcnn

Tensorflow Faster R-CNN for Windows and Linux by using Python 3

This is the branch to compile Faster R-CNN on Windows and Linux. It is heavily inspired by the great work done here and here.

Currently, this repository supports Python 3.5, 3.6 and 3.7. Thanks to @morpheusthewhite

PLEASE BE AWARE: I don't have the time or intention to fix all the issues for this branch because I don't use it commercially. I created this branch just for fun. If you want to make any commitment, it is more than welcome. Tensorflow has already released an object detection API. Please refer to it. https://github.com/tensorflow/models/tree/master/research/object_detection

How To Use This Branch

1. Install tensorflow, preferably GPU version. Follow instructions. If you do not install GPU version, you need to comment out all the GPU calls inside code and replace them with relavent CPU ones.

2. Checkout this branch

3. Install python packages (cython, python-opencv, easydict) by running
   pip install -r requirements.txt
   (if you are using an environment manager system such as conda you should follow its instruction)

4. Go to ./data/coco/PythonAPI
   Run python setup.py build_ext --inplace
   Run python setup.py build_ext install
   Go to ./lib/utils and run python setup.py build_ext --inplace

5. Follow these instructions to download PyCoco database. I will be glad if you can contribute with a batch script to automatically download and fetch. The final structure has to look like
   data\VOCDevkit2007\VOC2007

6. Download pre-trained VGG16 from here and place it as data\imagenet_weights\vgg16.ckpt.
   For rest of the models, please check here

7. Run train.py

Notify me if there is any issue found.

faster-rcnn-tensorflow-python3's Issues

ModuleNotFoundError: No module named 'lib.utils.cython_bbox'

"lib\datasets\imdb.py" line 18, in
from lib.utils.cython_bbox import bbox_overlaps
ModuleNotFoundError: No module named 'lib.utils.cython_bbox'

help me.

Code implementation details

If RPN is changed, does RPN need to be retrained? How to train RPN alone ?

run the demo, where to download the file "vgg16_faster_rcnn_iter_70000.ckpt"

"D:\Program Files\Python\python.exe" D:/DeepLearning/Tensorflow/Faster-RCNN-TensorFlow-Python3.5-master/demo.py --net vgg16
2017-09-14 17:17:43.649100: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\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.
2017-09-14 17:17:43.649426: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-14 17:17:43.938530: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:955] Found device 0 with properties:
name: Quadro K2100M
major: 3 minor: 0 memoryClockRate (GHz) 0.6665
pciBusID 0000:01:00.0
Total memory: 2.00GiB
Free memory: 1.66GiB
2017-09-14 17:17:43.938950: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:976] DMA: 0
2017-09-14 17:17:43.939160: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:986] 0: Y
2017-09-14 17:17:43.939393: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Quadro K2100M, pci bus id: 0000:01:00.0)
2017-09-14 17:17:45.118759: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.119695: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.120437: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.121329: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.122045: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.122657: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.123286: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.124537: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.124859: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.125712: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.126456: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.127261: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.127888: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.128902: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.129476: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.130443: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.131037: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.132044: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.132792: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.133194: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.134152: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.134749: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.135612: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.136246: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.137179: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.138028: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.138673: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.139379: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.140304: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.141037: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.141939: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.142735: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.143454: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.144070: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.144880: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.145407: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.146306: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.147157: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.147865: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
2017-09-14 17:17:45.148319: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
Traceback (most recent call last):
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 1327, in _do_call
return fn(*args)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 1306, in _run_fn
status, run_metadata)
File "D:\Program Files\Python\lib\contextlib.py", line 66, in exit
next(self.gen)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
[[Node: save/RestoreV2_8 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_8/tensor_names, save/RestoreV2_8/shape_and_slices)]]
[[Node: save/RestoreV2/_1 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_84_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:/DeepLearning/Tensorflow/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 145, in
saver.restore(sess, tfmodel)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1560, in restore
{self.saver_def.filename_tensor_name: save_path})
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 1124, in _run
feed_dict_tensor, options, run_metadata)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 1321, in _do_run
options, run_metadata)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\client\session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
[[Node: save/RestoreV2_8 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_8/tensor_names, save/RestoreV2_8/shape_and_slices)]]
[[Node: save/RestoreV2/_1 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_84_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]

Caused by op 'save/RestoreV2_8', defined at:
File "D:/DeepLearning/Tensorflow/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 144, in
saver = tf.train.Saver()
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1140, in init
self.build()
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1172, in build
filename=self._filename)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 688, in build
restore_sequentially, reshape)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\training\saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 663, in restore_v2
dtypes=dtypes, name=name)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "D:\Program Files\Python\lib\site-packages\tensorflow\python\framework\ops.py", line 1204, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt
[[Node: save/RestoreV2_8 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_8/tensor_names, save/RestoreV2_8/shape_and_slices)]]
[[Node: save/RestoreV2/_1 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_84_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]

Process finished with exit code 1

Does this project need to rely on VS?

Should I run the file “fetch_faster_rcnn_models.sh”？

I can not run this file and can not get the “voc_0712_80k-110k.tgz”. Because The URL is wrong.

I met a strange qustion,and don't know how to fix it,I hope to get your help,Thanks

d:\faster-rcnn-tensorflow-python3.5-master\lib\layer_utils\proposal_target_layer.py(139)_sample_rois()
-> keep_inds = np.append(fg_inds, bg_inds)
(Pdb)
Process finished with exit code 1

there's no picture appears when i run demo.py, do you know why? there's only codes and no picture!

Loaded network output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_500.ckpt

Demo for data/demo/000456.jpg
Detection took 15.544s for 300 object proposals

Demo for data/demo/000457.jpg
Detection took 13.887s for 300 object proposals

Demo for data/demo/000542.jpg
Detection took 12.505s for 300 object proposals

Demo for data/demo/001150.jpg
Detection took 14.122s for 300 object proposals

Demo for data/demo/001763.jpg
Detection took 13.798s for 300 object proposals

Demo for data/demo/004545.jpg
Detection took 12.136s for 300 object proposals

AttributeError: module 'lib.config.config' has no attribute 'TRAIN'

when I use resnet to replace vgg,the issue is emerging all the time,and I delete .pyc,it is existing.I don't know how to do,I only want to use resnet_v1 in faster-rcnn,I need your help,and hope to get a solution Thanks!

error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2

PS C:\Users\Link> cd C:\Users\Link\Desktop\coco-master\PythonAPI
PS C:\Users\Link\Desktop\coco-master\PythonAPI> python setup.py install
Compiling pycocotools/_mask.pyx because it changed.
[1/1] Cythonizing pycocotools/mask.pyx
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.5
creating build\lib.win-amd64-3.5\pycocotools
copying pycocotools\coco.py -> build\lib.win-amd64-3.5\pycocotools
copying pycocotools\cocoeval.py -> build\lib.win-amd64-3.5\pycocotools
copying pycocotools\mask.py -> build\lib.win-amd64-3.5\pycocotools
copying pycocotools_init.py -> build\lib.win-amd64-3.5\pycocotools
running build_ext
building 'pycocotools._mask' extension
creating build\temp.win-amd64-3.5
creating build\temp.win-amd64-3.5\Release
creating build\temp.win-amd64-3.5\Release\pycocotools
creating build\temp.win-amd64-3.5\common
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -ID:\software\Anaconda3\lib\site-packages\numpy\core\include -I../common -ID:\software\Anaconda3\include -ID:\software\Anaconda3\include "-IC:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10240.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\8.1\include\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\winrt" /Tcpycocotools/_mask.c /Fobuild\temp.win-amd64-3.5\Release\pycocotools/_mask.obj -Wno-cpp -Wno-unused-function -std=c99
cl : Command line error D8021 : invalid numeric argument '/Wno-cpp'
error: command 'C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\cl.exe' failed with exit status 2

What is the annotations_cache in step 5?

What is the annotations_cache in step 5? Is it the Annotaions file in the VOC2007?

.

Is the data that is simply given to RPNfeed is the data of the fifth layers of feed feature map?

TypeError: object of type 'NoneType' has no len()

D:\Users\JZY0717\Anaconda3\envs\tfenv\python.exe D:/Users/37974/PycharmProjects/Faster-RCNN-TensorFlow-Python3.5-master/train.py
Loaded dataset voc_2007_trainval for training
Set proposal method: gt
Appending horizontally-flipped training examples...
voc_2007_trainval gt roidb loaded from D:\Users\37974\PycharmProjects\Faster-RCNN-TensorFlow-Python3.5-master\data\cache\voc_2007_trainval_gt_roidb.pkl
done
Preparing training data...
done
Traceback (most recent call last):
File "D:/Users/37974/PycharmProjects/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 208, in
train = Train()
File "D:/Users/37974/PycharmProjects/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 70, in init
self.data_layer = RoIDataLayer(self.roidb, self.imdb.num_classes)
File "D:\Users\37974\PycharmProjects\Faster-RCNN-TensorFlow-Python3.5-master\lib\layer_utils\roi_data_layer.py", line 33, in init
self._shuffle_roidb_inds()
File "D:\Users\37974\PycharmProjects\Faster-RCNN-TensorFlow-Python3.5-master\lib\layer_utils\roi_data_layer.py", line 45, in _shuffle_roidb_inds
self._perm = np.random.permutation(np.arange(len(self._roidb)))
TypeError: object of type 'NoneType' has no len()

Process finished with exit code 1

how to use resnet in faster-rcnn

I want to use resnet in faster -rcnn,only replaced vgg of resnet,final there is many problems,I don't know how to do,so I seek help!

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 Traceback (most recent call last): File "C:/Users/lcc/Desktop/Faster-RCNN-TensorFlow-Python3.5-master/demo2.py", line 141, in <module> raise NotImplementedError NotImplementedError

error ：
Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
Traceback (most recent call last):
File "C:/Users/lcc/Desktop/Faster-RCNN-TensorFlow-Python3.5-master/demo2.py", line 141, in
raise NotImplementedError
NotImplementedError

TF version

I had to roll back to TF. 1.3 in order to have the model files loaded properly and all ran well. Thanks.

ImportError: No module named 'lib'

i want to get the mAP ,so i run test.py. But i get this errer : ImportError: No module named 'lib'.
someone can help me ? This isn't the right way to get mAP?

How to test model?

There is no test.py, can you provide it ?

How to create module 'lib.utils.cython_bbox'?

Hi DBeker,

I use Win10+TF+python_3.6. I see the error "ModuleNotFoundError: No module named 'lib.utils.cython_bbox'". So I think author should know how to create lib.utils.cython_bbox for python_3.6. Could you tell me your way?

Thanks
Aeon

what's the use of step 4?

4- Go to ./data/coco/PythonAPI

  Run python setup.py build_ext --inplace

  Run python setup.py build_ext install

ImportError: No module named 'lib.layer_utils.dis_reg'

Hi,

I have a problem when I ran demo.py. It said "ImportError: No module named 'lib.layer_utils.dis_reg'". And there is no such file in "./lib/layer_utils/".

Would you please help me out? thanks.

TypeError: 'NoneType' object is not subscriptable

runfile('G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py', wdir='G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5')
WARNING:tensorflow:From C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
Loaded dataset voc_2007_trainval for training
Set proposal method: gt
Appending horizontally-flipped training examples...
voc_2007_trainval gt roidb loaded from G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\data\cache\voc_2007_trainval_gt_roidb.pkl
done
Preparing training data...
done
C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gradients_impl.py:100: 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
Variables restored: vgg_16/conv1/conv1_1/biases:0
Variables restored: vgg_16/conv1/conv1_2/weights:0
Variables restored: vgg_16/conv1/conv1_2/biases:0
Variables restored: vgg_16/conv2/conv2_1/weights:0
Variables restored: vgg_16/conv2/conv2_1/biases:0
Variables restored: vgg_16/conv2/conv2_2/weights:0
Variables restored: vgg_16/conv2/conv2_2/biases:0
Variables restored: vgg_16/conv3/conv3_1/weights:0
Variables restored: vgg_16/conv3/conv3_1/biases:0
Variables restored: vgg_16/conv3/conv3_2/weights:0
Variables restored: vgg_16/conv3/conv3_2/biases:0
Variables restored: vgg_16/conv3/conv3_3/weights:0
Variables restored: vgg_16/conv3/conv3_3/biases:0
Variables restored: vgg_16/conv4/conv4_1/weights:0
Variables restored: vgg_16/conv4/conv4_1/biases:0
Variables restored: vgg_16/conv4/conv4_2/weights:0
Variables restored: vgg_16/conv4/conv4_2/biases:0
Variables restored: vgg_16/conv4/conv4_3/weights:0
Variables restored: vgg_16/conv4/conv4_3/biases:0
Variables restored: vgg_16/conv5/conv5_1/weights:0
Variables restored: vgg_16/conv5/conv5_1/biases:0
Variables restored: vgg_16/conv5/conv5_2/weights:0
Variables restored: vgg_16/conv5/conv5_2/biases:0
Variables restored: vgg_16/conv5/conv5_3/weights:0
Variables restored: vgg_16/conv5/conv5_3/biases:0
Variables restored: vgg_16/fc6/biases:0
Variables restored: vgg_16/fc7/biases:0
INFO:tensorflow:Restoring parameters from ./data/imagenet_weights/vgg16.ckpt
Loaded.
Fix VGG16 layers..
INFO:tensorflow:Restoring parameters from ./data/imagenet_weights/vgg16.ckpt
Fixed.
Traceback (most recent call last):

File "", line 1, in
runfile('G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py', wdir='G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5')

File "C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)

File "C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py", line 210, in
train.train()

File "G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py", line 148, in train
blobs = self.data_layer.forward()

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\layer_utils\roi_data_layer.py", line 75, in forward
blobs = self._get_next_minibatch()

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\layer_utils\roi_data_layer.py", line 71, in _get_next_minibatch
return get_minibatch(minibatch_db, self._num_classes)

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\utils\minibatch.py", line 30, in get_minibatch
im_blob, im_scales = _get_image_blob(roidb, random_scale_inds)

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\utils\minibatch.py", line 65, in _get_image_blob
im = im[:, ::-1, :]

TypeError: 'NoneType' object is not subscriptable

Someone can help me？Please！！！

demo.py

142 line
net.create_architecture(sess, "TEST", 21,tag='default', anchor_scales=[8, 16, 32])

File "E:\study_software\pycharm\install\PyCharm Community Edition 2018.1\helpers\pydev\pydevd.py", line 1664, in
main()
File "E:\study_software\pycharm\install\PyCharm Community Edition 2018.1\helpers\pydev\pydevd.py", line 1658, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "E:\study_software\pycharm\install\PyCharm Community Edition 2018.1\helpers\pydev\pydevd.py", line 1068, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "E:\study_software\pycharm\install\PyCharm Community Edition 2018.1\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "F:/project/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 144, in
tag='default', anchor_scales=[8, 16, 32])
File "F:\project\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 283, in create_architecture
weights_regularizer = tf.contrib.layers.l2_regularizer(cfg.FLAGS.weight_decay)
File "E:\study_software\anaconda\anzhuang\envs\tensorflow\lib\site-packages\tensorflow\python\platform\flags.py", line 84, in getattr
wrapped(_sys.argv)
File "E:\study_software\anaconda\anzhuang\envs\tensorflow\lib\site-packages\absl\flags_flagvalues.py", line 630, in call
name, value, suggestions=suggestions)
absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'net'. Did you mean: network ?

AssertionError: Path does not exist

File "C:\Faster-RCNN-TensorFlow-Python3.5-master\lib\datasets\pascal_voc.py", line 84, in _load_image_set_index
'Path does not exist: {}'.format(image_set_file)
AssertionError: Path does not exist: C:\Faster-RCNN-TensorFlow-Python3.5-master\data\VOCdevkit2007\VOC2007\ImageSets\Main\trainval.txt

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [84] rhs shape= [28]

I use my own dataset to test under windows.：
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [84] rhs shape= [28]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@vgg_16/bbox_pred/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](vgg_16/bbox_pred/biases, save/RestoreV2)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "E:/BaiduNetdiskDownload/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/demo_test.py", line 152, in
saver.restore(sess, tfmodel)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1752, in restore
{self.saver_def.filename_tensor_name: save_path})
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
run_metadata_ptr)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run
run_metadata)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [84] rhs shape= [28]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@vgg_16/bbox_pred/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](vgg_16/bbox_pred/biases, save/RestoreV2)]]

Caused by op 'save/Assign', defined at:
File "E:/BaiduNetdiskDownload/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/demo_test.py", line 151, in
saver = tf.train.Saver()
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1284, in init
self.build()
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1296, in build
self._build(self._filename, build_save=True, build_restore=True)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1333, in _build
build_save=build_save, build_restore=build_restore)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 781, in _build_internal
restore_sequentially, reshape)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 422, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py", line 113, in restore
self.op.get_shape().is_fully_defined())
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\ops\state_ops.py", line 219, in assign
validate_shape=validate_shape)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_state_ops.py", line 63, in assign
use_locking=use_locking, name=name)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3414, in create_op
op_def=op_def)
File "D:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1740, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [84] rhs shape= [28]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@vgg_16/bbox_pred/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](vgg_16/bbox_pred/biases, save/RestoreV2)]]

Process finished with exit code 1

What could be the problem, thank you!

there is a question when i train my own dateset

tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [21] rhs shape= [5]
[[Node: save/Assign_2 = Assign[T=DT_FLOAT, _class=["loc:@vgg_16/cls_score/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](vgg_16/cls_score/biases, save/RestoreV2_2)]]

when i run demo.py the error occurs

when i was training my data,there is a issue exist as follow:> d:\orgin\faster-rcnn-tensorflow-python3.5-master\faster-rcnn-tensorflow-python3.5-master\lib\layer_utils\proposal_target_layer.py(139)_sample_rois() -> keep_inds = np.append(fg_inds, bg_inds) (Pdb)

This problem appears after completing several rounds of training

TypeError: argument of type 'NoneType' is not iterable

variables_to_restore = self.net.get_variables_to_restore(variables, var_keep_dic)
File "D:\WorkSpace\Python\Faster-RCNN-TensorFlow-Python3.5\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

cant open ucrt.lib

When run python setup.py build_ext --inplace occurs this error

error: [WinError 2] 系统找不到指定的文件。

i don't know what file does the system want to find

D:\Faster-RCNN-TensorFlow-Python3.5-master\data\coco\PythonAPI>python setup.py build_ext install
running build_ext
error: [WinError 2] 系统找不到指定的文件。
D:\Faster-RCNN-TensorFlow-Python3.5-master\data\coco\PythonAPI>python setup.py build_ext --inplace
running build_ext
error: [WinError 2] 系统找不到指定的文件。

"系统找不到指定的文件" means "The system cannot find the specified file"

TypeError: argument of type 'NoneType' is not iterable

Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ./data/imagenet_weights/vgg16.ckpt

Is there a problem with my data file?

how long request for train this model by 1080ti？

i train this model need 22hours, it's right?

absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'net'. Did you mean: network ?

i run the demo.py, then met the problem following:
Traceback (most recent call last): File "D:/7-xpj/github/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 144, in <module> net.create_architecture(sess, "TEST", 21, tag='default') File "D:\7-xpj\github\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 283, in create_architecture weights_regularizer = tf.contrib.layers.l2_regularizer(cfg.FLAGS.weight_decay) File "C:\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\platform\flags.py", line 84, in __getattr__ wrapped(_sys.argv) File "C:\Anaconda2\envs\tensorflow\lib\site-packages\absl\flags\_flagvalues.py", line 630, in __call__ name, value, suggestions=suggestions) absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'net'. Did you mean: network ?

how to eval the accuracy

when i finish train my own data , how can i know my mAP? can anyone answer me? thanks a lot

Failed to run python setup.py build_ext --inplace

when i run demo.py the error occurs

OSError: output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt.meta not found. Did you download the proper networks from our server and place them properly?

I have already trained the train.py, when I open demo.py and run, the error occurs:
OSError: output\vgg16\voc_2007_trainval+voc_2012_trainval\default\vgg16_faster_rcnn_iter_70000.ckpt.meta not found.
Did you download the proper networks from our server and place them properly?
do you know that?

Code understanding

Hello, I have read the code more deeply than it does, so I want to visualize it. The code seems to have the name of each layer and node, but nothing in the tensorboard, I looked at the output, he just output model, there is no log file, should I call the function inside to visualize?Can you give me some advice?Thanks

train bug

PermissionError:[Error13]Permission Denued:./cache\voc_2007_trainval_gt_roidb.pkl

AttributeError: 'NoneType' object has no attribute 'astype'.

Traceback (most recent call last):
File "F:/faster-rcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 143, in
demo(sess, net, im_name)
File "F:/faster-rcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/demo.py", line 73, in demo
scores, boxes = im_detect(sess, net, im)
File "F:\faster-rcnn\FasterRcnn\Faster-RCNN-TensorFlow-Python3.5-master\lib\utils\test.py", line 94, in im_detect
blobs, im_scales = _get_blobs(im)
File "F:\faster-rcnn\FasterRcnn\Faster-RCNN-TensorFlow-Python3.5-master\lib\utils\test.py", line 67, in _get_blobs
blobs['data'], im_scale_factors = _get_image_blob(im)
File "F:\faster-rcnn\FasterRcnn\Faster-RCNN-TensorFlow-Python3.5-master\lib\utils\test.py", line 39, in _get_image_blob
im_orig = im.astype(np.float32, copy=True)
AttributeError: 'NoneType' object has no attribute 'astype'

ImportError: No module named 'pycocotools'

D:\software\Anaconda3\python.exe C:/Users/Link/Desktop/tf-faster-rcnn-master/train.py
Traceback (most recent call last):
File "C:/Users/Link/Desktop/tf-faster-rcnn-master/train.py", line 9, in
from lib.datasets.factory import get_imdb
File "C:\Users\Link\Desktop\tf-faster-rcnn-master\lib\datasets\factory.py", line 15, in
from lib.datasets.coco import coco
File "C:\Users\Link\Desktop\tf-faster-rcnn-master\lib\datasets\coco.py", line 21, in
from pycocotools.coco import COCO
ImportError: No module named 'pycocotools'

How to test?There's no test.py file?

Error occurred when run python setup.py build_ext --inplace

When run python setup.py build_ext --inplace
running build_ext
building 'pycocotools._mask' extension
error: Unable to find vcvarsall.bat
How can I fix it? I already install vs2010 and >SET VS90COMNTOOLS=%VS100COMNTOOLS% but it still happended

ValueError: 'pycocotools/_mask.pyx' doesn't match any files

step
python setup.py build_ext --inplace

ValueError: 'pycocotools/_mask.pyx' doesn't match any files

Can you please post a new ckpt file? The link you post can not restore from tensorflow

Can you please post a new vgg ckpt file? The link you post can not restore from tensorflow

AssertionError

When I change the dataset to my own dataset, I will run this error when I run train.py.

I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library nvcuda.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library curand64_80.dll locally
Loaded dataset voc_2007_trainval for training
Set proposal method: gt
Appending horizontally-flipped training examples...
Traceback (most recent call last):
voc_2007_trainval gt roidb loaded from D:\python\project\FasterRcnn\FasterRcnn\Faster-RCNN-TensorFlow-Python3.5-master\data\cache\voc_2007_trainval_gt_roidb.pkl
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 209, in
train = Train()
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 69, in init
self.imdb, self.roidb = combined_roidb("voc_2007_trainval")
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 48, in combined_roidb
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 48, in
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 45, in get_roidb
roidb = get_training_roidb(imdb)
File "D:/python/project/FasterRcnn/FasterRcnn/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 25, in get_training_roidb
imdb.append_flipped_images()
File "D:\python\project\FasterRcnn\FasterRcnn\Faster-RCNN-TensorFlow-Python3.5-master\lib\datasets\imdb.py", line 119, in append_flipped_images
assert (boxes[:, 2] >= boxes[:, 0]).all()
AssertionError

Process finished with exit code 1

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[25088,4096]

我使用faster rcnn tensorflow 进行训练时，出现了这个错误：
D:\python\program\python.exe "D:/python/project/Faster-RCNN-TensorFlow-Python3.5-master (2)/Faster-RCNN-TensorFlow-Python3.5-master/train.py"
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cublas64_80.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cudnn64_5.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cufft64_80.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library nvcuda.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library curand64_80.dll locally
Loaded dataset voc_2007_trainval for training
Set proposal method: gt
Appending horizontally-flipped training examples...
voc_2007_trainval gt roidb loaded from D:\python\project\Faster-RCNN-TensorFlow-Python3.5-master (2)\Faster-RCNN-TensorFlow-Python3.5-master\data\cache\voc_2007_trainval_gt_roidb.pkl
done
Preparing training data...
done
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:885] Found device 0 with properties:
name: GeForce GTX 1060 3GB
major: 6 minor: 1 memoryClockRate (GHz) 1.7085
pciBusID 0000:01:00.0
Total memory: 3.00GiB
Free memory: 2.44GiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:906] DMA: 0
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:916] 0: Y
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1060 3GB, pci bus id: 0000:01:00.0)
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
D:\python\program\lib\site-packages\tensorflow\python\ops\gradients_impl.py:91: 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
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (256): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (512): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (1024): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (2048): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (4096): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (8192): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (16384): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (32768): Total Chunks: 1, Chunks in use: 0 53.8KiB allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (65536): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (131072): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (262144): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (524288): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (1048576): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (2097152): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (4194304): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (8388608): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (16777216): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (33554432): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (67108864): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (134217728): Total Chunks: 0, Chunks in use: 0 0B allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:643] Bin (268435456): Total Chunks: 1, Chunks in use: 0 374.51MiB allocated for chunks. 0B client-requested for chunks. 0B in use in bin. 0B client-requested in use in bin.
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:660] Bin for 392.00MiB was 256.00MiB, Chunk State:
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:666] Size: 374.51MiB | Requested Size: 0B | in_use: 0, prev: Size: 72.0KiB | Requested Size: 72.0KiB | in_use: 1
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000503400000 of size 1280
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000503400500 of size 256
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034AF900 of size 256
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034AFA00 of size 1024
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034AFE00 of size 1024
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B0200 of size 1024
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B0600 of size 2048
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B0E00 of size 2048
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B1600 of size 2048
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B1E00 of size 2048
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B2600 of size 2048
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034B3E00 of size 36864
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034BCF00 of size 73728
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034CEF00 of size 256
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034CF000 of size 16384
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 00000005034D3000 of size 16384
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000503C00000 of size 8388608
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000504400000 of size 16777216
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000505400000 of size 536870912
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000525400000 of size 67108864
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000569E50000 of size 147456
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 0000000569E74000 of size 294912
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I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000056C46C000 of size 9437184
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000056CD6C000 of size 9437184
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000056D66C000 of size 9437184
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:678] Chunk at 000000056DF6C000 of size 73728
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:687] Free at 000000056DF7E000 of size 392699904
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:693] Summary of in-use Chunks by size:
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 57 Chunks of size 256 totalling 14.3KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 4 Chunks of size 512 totalling 2.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 10 Chunks of size 1024 totalling 10.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 1280 totalling 1.3KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 22 Chunks of size 2048 totalling 44.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 6912 totalling 6.8KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 7 Chunks of size 16384 totalling 112.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 36864 totalling 108.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 49152 totalling 144.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 73728 totalling 216.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 147456 totalling 144.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 196608 totalling 576.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 294912 totalling 288.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 589824 totalling 576.0KiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 2 Chunks of size 1179648 totalling 2.25MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 2097152 totalling 2.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 4 Chunks of size 2359296 totalling 9.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 4194304 totalling 4.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 2 Chunks of size 4718592 totalling 9.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 8388608 totalling 8.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 12 Chunks of size 9437184 totalling 108.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 16777216 totalling 16.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 3 Chunks of size 67108864 totalling 192.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 411041792 totalling 392.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 469762048 totalling 448.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:696] 1 Chunks of size 536870912 totalling 512.00MiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:700] Sum Total of in-use chunks: 1.66GiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:702] Stats:
Limit: 2300588851
InUse: 1787234560
MaxInUse: 1787234560
NumAllocs: 147
MaxAllocSize: 536870912

W c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:274] xxxxxx******************************__________________
W c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\bfc_allocator.cc:275] Ran out of memory trying to allocate 392.00MiB. See logs for memory state.
W c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:993] Resource exhausted: OOM when allocating tensor with shape[25088,4096]
Traceback (most recent call last):
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 1022, in _do_call
return fn(*args)
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 1004, in _run_fn
status, run_metadata)
File "D:\python\program\lib\contextlib.py", line 66, in exit
next(self.gen)
File "D:\python\program\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[25088,4096]
[[Node: vgg_16/fc6/weights/Initializer/random_uniform/mul = Mul[T=DT_FLOAT, _class=["loc:@vgg_16/fc6/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](vgg_16/fc6/weights/Initializer/random_uniform/RandomUniform, vgg_16/fc6/weights/Initializer/random_uniform/sub)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:/python/project/Faster-RCNN-TensorFlow-Python3.5-master (2)/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 210, in
train.train()
File "D:/python/project/Faster-RCNN-TensorFlow-Python3.5-master (2)/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 120, in train
sess.run(tf.variables_initializer(variables, name='init'))
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 767, in run
run_metadata_ptr)
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "D:\python\program\lib\site-packages\tensorflow\python\client\session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[25088,4096]
[[Node: vgg_16/fc6/weights/Initializer/random_uniform/mul = Mul[T=DT_FLOAT, _class=["loc:@vgg_16/fc6/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](vgg_16/fc6/weights/Initializer/random_uniform/RandomUniform, vgg_16/fc6/weights/Initializer/random_uniform/sub)]]

Caused by op 'vgg_16/fc6/weights/Initializer/random_uniform/mul', defined at:
File "D:/python/project/Faster-RCNN-TensorFlow-Python3.5-master (2)/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 210, in
train.train()
File "D:/python/project/Faster-RCNN-TensorFlow-Python3.5-master (2)/Faster-RCNN-TensorFlow-Python3.5-master/train.py", line 85, in train
layers = self.net.create_architecture(sess, "TRAIN", self.imdb.num_classes, tag='default')
File "D:\python\project\Faster-RCNN-TensorFlow-Python3.5-master (2)\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 295, in create_architecture
rois, cls_prob, bbox_pred = self.build_network(sess, training)
File "D:\python\project\Faster-RCNN-TensorFlow-Python3.5-master (2)\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\vgg16.py", line 39, in build_network
cls_score, cls_prob, bbox_pred = self.build_predictions(net, rois, is_training, initializer, initializer_bbox)
File "D:\python\project\Faster-RCNN-TensorFlow-Python3.5-master (2)\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\vgg16.py", line 166, in build_predictions
fc6 = slim.fully_connected(pool5_flat, 4096, scope='fc6')
File "D:\python\program\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 177, in func_with_args
return func(*args, **current_args)
File "D:\python\program\lib\site-packages\tensorflow\contrib\layers\python\layers\layers.py", line 1409, in fully_connected
outputs = layer.apply(inputs)
File "D:\python\program\lib\site-packages\tensorflow\python\layers\base.py", line 303, in apply
return self.call(inputs, **kwargs)
File "D:\python\program\lib\site-packages\tensorflow\python\layers\base.py", line 269, in call
self.build(input_shapes[0])
File "D:\python\program\lib\site-packages\tensorflow\python\layers\core.py", line 123, in build
trainable=True)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 988, in get_variable
custom_getter=custom_getter)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 890, in get_variable
custom_getter=custom_getter)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 341, in get_variable
validate_shape=validate_shape)
File "D:\python\program\lib\site-packages\tensorflow\python\layers\base.py", line 258, in variable_getter
variable_getter=functools.partial(getter, **kwargs))
File "D:\python\program\lib\site-packages\tensorflow\python\layers\base.py", line 208, in _add_variable
trainable=trainable and self.trainable)
File "D:\python\program\lib\site-packages\tensorflow\contrib\layers\python\layers\layers.py", line 1310, in layer_variable_getter
return _model_variable_getter(getter, *args, **kwargs)
File "D:\python\program\lib\site-packages\tensorflow\contrib\layers\python\layers\layers.py", line 1299, in _model_variable_getter
custom_getter=getter)
File "D:\python\program\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 177, in func_with_args
return func(*args, **current_args)
File "D:\python\program\lib\site-packages\tensorflow\contrib\framework\python\ops\variables.py", line 268, in model_variable
partitioner=partitioner, custom_getter=custom_getter)
File "D:\python\program\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 177, in func_with_args
return func(*args, **current_args)
File "D:\python\program\lib\site-packages\tensorflow\contrib\framework\python\ops\variables.py", line 225, in variable
partitioner=partitioner)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 333, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 684, in _get_single_variable
validate_shape=validate_shape)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variables.py", line 197, in init
expected_shape=expected_shape)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variables.py", line 274, in _init_from_args
initial_value(), name="initial_value", dtype=dtype)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 673, in
shape.as_list(), dtype=dtype, partition_info=partition_info)
File "D:\python\program\lib\site-packages\tensorflow\contrib\layers\python\layers\initializers.py", line 145, in _initializer
dtype, seed=seed)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\random_ops.py", line 245, in random_uniform
return math_ops.add(rnd * (maxval - minval), minval, name=name)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\math_ops.py", line 794, in binary_op_wrapper
return func(x, y, name=name)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1015, in _mul_dispatch
return gen_math_ops._mul(x, y, name=name)
File "D:\python\program\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 1625, in _mul
result = _op_def_lib.apply_op("Mul", x=x, y=y, name=name)
File "D:\python\program\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 763, in apply_op
op_def=op_def)
File "D:\python\program\lib\site-packages\tensorflow\python\framework\ops.py", line 2327, in create_op
original_op=self._default_original_op, op_def=op_def)
File "D:\python\program\lib\site-packages\tensorflow\python\framework\ops.py", line 1226, in init
self._traceback = _extract_stack()

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[25088,4096]
[[Node: vgg_16/fc6/weights/Initializer/random_uniform/mul = Mul[T=DT_FLOAT, _class=["loc:@vgg_16/fc6/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](vgg_16/fc6/weights/Initializer/random_uniform/RandomUniform, vgg_16/fc6/weights/Initializer/random_uniform/sub)]]

E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_gpu_executor.cc:637] Deallocating stream with pending work

Process finished with exit code 1

can't open https://github.com/tensorflow/models/tree/master/slim#pre-trained-models

https://github.com/tensorflow/models/tree/master/slim#pre-trained-models
it shows 404

TypeError: 'NoneType' object is not subscriptable

Fix VGG16 layers..
INFO:tensorflow:Restoring parameters from ./data/imagenet_weights/vgg16.ckpt
Fixed.
Traceback (most recent call last):

File "", line 1, in
runfile('G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py', wdir='G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5')

File "C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)

File "C:\ProgramData\Anaconda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py", line 210, in
train.train()

File "G:/法国第二年下/stage/Faster-RCNN-TensorFlow-Python3.5/train.py", line 148, in train
blobs = self.data_layer.forward()

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\layer_utils\roi_data_layer.py", line 75, in forward
blobs = self._get_next_minibatch()

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\layer_utils\roi_data_layer.py", line 71, in _get_next_minibatch
return get_minibatch(minibatch_db, self._num_classes)

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\utils\minibatch.py", line 30, in get_minibatch
im_blob, im_scales = _get_image_blob(roidb, random_scale_inds)

File "G:\法国第二年下\stage\Faster-RCNN-TensorFlow-Python3.5\lib\utils\minibatch.py", line 65, in _get_image_blob
im = im[:, ::-1, :]

TypeError: 'NoneType' object is not subscriptable

something wrong when i try 'python setup.py build_ext --inplace'

building 'pycocotools._mask' extension
error: Unable to find vcvarsall.bat