/mnt/anaconda/bin/python3.6 /mnt/chinese-ocr/demo.py
/mnt/anaconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, *kwds)
2017-12-30 11:01:39.650441: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2017-12-30 11:01:39.759415: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-12-30 11:01:39.760667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce 920MX major: 5 minor: 0 memoryClockRate(GHz): 0.993
pciBusID: 0000:01:00.0
totalMemory: 1.96GiB freeMemory: 1.59GiB
2017-12-30 11:01:39.760689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 920MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
('data',)
Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32)
(<tf.Tensor 'conv1_1/conv1_1:0' shape=(?, ?, ?, 64) dtype=float32>,)
(<tf.Tensor 'conv1_2/conv1_2:0' shape=(?, ?, ?, 64) dtype=float32>,)
(<tf.Tensor 'pool1:0' shape=(?, ?, ?, 64) dtype=float32>,)
(<tf.Tensor 'conv2_1/conv2_1:0' shape=(?, ?, ?, 128) dtype=float32>,)
(<tf.Tensor 'conv2_2/conv2_2:0' shape=(?, ?, ?, 128) dtype=float32>,)
(<tf.Tensor 'pool2:0' shape=(?, ?, ?, 128) dtype=float32>,)
(<tf.Tensor 'conv3_1/conv3_1:0' shape=(?, ?, ?, 256) dtype=float32>,)
(<tf.Tensor 'conv3_2/conv3_2:0' shape=(?, ?, ?, 256) dtype=float32>,)
(<tf.Tensor 'conv3_3/conv3_3:0' shape=(?, ?, ?, 256) dtype=float32>,)
(<tf.Tensor 'pool3:0' shape=(?, ?, ?, 256) dtype=float32>,)
(<tf.Tensor 'conv4_1/conv4_1:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'conv4_2/conv4_2:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'conv4_3/conv4_3:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'pool4:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'conv5_1/conv5_1:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'conv5_2/conv5_2:0' shape=(?, ?, ?, 512) dtype=float32>,)
(<tf.Tensor 'conv5_3/conv5_3:0' shape=(?, ?, ?, 512) dtype=float32>,)
('conv5_3',)
Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32)
(<tf.Tensor 'rpn_conv/3x3/rpn_conv/3x3:0' shape=(?, ?, ?, 512) dtype=float32>,)
('rpn_conv/3x3',)
Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32)
WARNING:tensorflow:<tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell object at 0x7f00a0459080>: Using a concatenated state is slower and will soon be deprecated. Use state_is_tuple=True.
(<tf.Tensor 'lstm_o/Reshape:0' shape=(?, ?, ?, 128) dtype=float32>,)
('lstm_o',)
Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32)
(<tf.Tensor 'rpn_bbox_pred/Reshape:0' shape=(?, ?, ?, 40) dtype=float32>,)
('lstm_o',)
Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32)
(<tf.Tensor 'rpn_cls_score/Reshape:0' shape=(?, ?, ?, 20) dtype=float32>,)
('rpn_cls_score',)
Tensor("rpn_cls_score/Reshape:0", shape=(?, ?, ?, 20), dtype=float32)
(<tf.Tensor 'Reshape_3:0' shape=(?, ?, ?, 2) dtype=float32>,)
(<tf.Tensor 'rpn_cls_prob:0' shape=(?, ?, ?, ?) dtype=float32>,)
('rpn_cls_prob',)
Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32)
(<tf.Tensor 'Reshape_5:0' shape=(?, ?, ?, 20) dtype=float32>,)
('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info')
Tensor("Reshape_5:0", shape=(?, ?, ?, 20), dtype=float32)
('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info')
Tensor("rpn_bbox_pred/Reshape:0", shape=(?, ?, ?, 40), dtype=float32)
('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info')
Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32)
((<tf.Tensor 'rois/Reshape:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rois/PyFunc:1' shape= dtype=float32>),)
Using TensorFlow backend.
2017-12-30 11:01:42.207565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 920MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
/mnt/anaconda/lib/python3.6/site-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
2017-12-30 11:01:43.539344: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.30GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:44.503693: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.38GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:44.953596: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.17GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:45.233261: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.19GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:45.644573: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.59GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:47.430090: W tensorflow/core/framework/op_kernel.cc:1192] Unknown: KeyError: b'TEST'
Traceback (most recent call last):
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1323, in _do_call
return fn(args)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1302, in _run_fn
status, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.UnknownError: KeyError: b'TEST'
[[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_5/_75, rpn_bbox_pred/Reshape/_77, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]]
[[Node: rois/PyFunc/_79 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_270_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/chinese-ocr/demo.py", line 17, in
result, img = model.model(img, model='keras')
File "/mnt/chinese-ocr/model.py", line 76, in model
text_recs,tmp,img = text_detect(img)
File "/mnt/chinese-ocr/ctpn/text_detect.py", line 8, in text_detect
scores, boxes,img = ctpn(img)
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 33, in ctpn
scores, boxes = test_ctpn(sess, net, img)
File "/mnt/chinese-ocr/ctpn/lib/fast_rcnn/test.py", line 175, in test_ctpn
rois = sess.run([net.get_output('rois')[0]], feed_dict=feed_dict)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 889, in run
run_metadata_ptr)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1120, in _run
feed_dict_tensor, options, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1317, in _do_run
options, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1336, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnknownError: KeyError: b'TEST'
[[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_5/_75, rpn_bbox_pred/Reshape/_77, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]]
[[Node: rois/PyFunc/_79 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_270_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Caused by op 'rois/PyFunc', defined at:
File "/mnt/chinese-ocr/demo.py", line 3, in
import model
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/model.py", line 3, in
from ctpn.text_detect import text_detect
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/ctpn/text_detect.py", line 3, in
from ctpn.ctpn.model import ctpn
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 29, in
sess,saver,net = load_tf_model()
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 22, in load_tf_model
net = get_network("VGGnet_test")
File "/mnt/chinese-ocr/ctpn/lib/networks/factory.py", line 20, in get_network
return VGGnet_test()
File "/mnt/chinese-ocr/ctpn/lib/networks/VGGnet_test.py", line 14, in init
self.setup()
File "/mnt/chinese-ocr/ctpn/lib/networks/VGGnet_test.py", line 62, in setup
(self.feed('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info').proposal_layer(_feat_stride, anchor_scales, 'TEST', name='rois'))
File "/mnt/chinese-ocr/ctpn/lib/networks/network.py", line 30, in layer_decorated
layer_output = op(self, layer_input, *args, **kwargs)
File "/mnt/chinese-ocr/ctpn/lib/networks/network.py", line 248, in proposal_layer
blob, bbox_delta = tf.py_func(proposal_layer_py,[input[0], input[1], input[2], cfg_key, _feat_stride, anchor_scales], [tf.float32, tf.float32])
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/script_ops.py", line 212, in py_func
input=inp, token=token, Tout=Tout, name=name)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_script_ops.py", line 50, in _py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
op_def=op_def)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1470, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
frankzhuo
commented
6 years ago
/mnt/anaconda/bin/python3.6 /mnt/chinese-ocr/demo.py /mnt/anaconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6 return f(*args, *kwds) 2017-12-30 11:01:39.650441: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2017-12-30 11:01:39.759415: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2017-12-30 11:01:39.760667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: name: GeForce 920MX major: 5 minor: 0 memoryClockRate(GHz): 0.993 pciBusID: 0000:01:00.0 totalMemory: 1.96GiB freeMemory: 1.59GiB 2017-12-30 11:01:39.760689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 920MX, pci bus id: 0000:01:00.0, compute capability: 5.0) ('data',) Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32) (<tf.Tensor 'conv1_1/conv1_1:0' shape=(?, ?, ?, 64) dtype=float32>,) (<tf.Tensor 'conv1_2/conv1_2:0' shape=(?, ?, ?, 64) dtype=float32>,) (<tf.Tensor 'pool1:0' shape=(?, ?, ?, 64) dtype=float32>,) (<tf.Tensor 'conv2_1/conv2_1:0' shape=(?, ?, ?, 128) dtype=float32>,) (<tf.Tensor 'conv2_2/conv2_2:0' shape=(?, ?, ?, 128) dtype=float32>,) (<tf.Tensor 'pool2:0' shape=(?, ?, ?, 128) dtype=float32>,) (<tf.Tensor 'conv3_1/conv3_1:0' shape=(?, ?, ?, 256) dtype=float32>,) (<tf.Tensor 'conv3_2/conv3_2:0' shape=(?, ?, ?, 256) dtype=float32>,) (<tf.Tensor 'conv3_3/conv3_3:0' shape=(?, ?, ?, 256) dtype=float32>,) (<tf.Tensor 'pool3:0' shape=(?, ?, ?, 256) dtype=float32>,) (<tf.Tensor 'conv4_1/conv4_1:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'conv4_2/conv4_2:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'conv4_3/conv4_3:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'pool4:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'conv5_1/conv5_1:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'conv5_2/conv5_2:0' shape=(?, ?, ?, 512) dtype=float32>,) (<tf.Tensor 'conv5_3/conv5_3:0' shape=(?, ?, ?, 512) dtype=float32>,) ('conv5_3',) Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32) (<tf.Tensor 'rpn_conv/3x3/rpn_conv/3x3:0' shape=(?, ?, ?, 512) dtype=float32>,) ('rpn_conv/3x3',) Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32) WARNING:tensorflow:<tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell object at 0x7f00a0459080>: Using a concatenated state is slower and will soon be deprecated. Use state_is_tuple=True. (<tf.Tensor 'lstm_o/Reshape:0' shape=(?, ?, ?, 128) dtype=float32>,) ('lstm_o',) Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32) (<tf.Tensor 'rpn_bbox_pred/Reshape:0' shape=(?, ?, ?, 40) dtype=float32>,) ('lstm_o',) Tensor("lstm_o/Reshape:0", shape=(?, ?, ?, 128), dtype=float32) (<tf.Tensor 'rpn_cls_score/Reshape:0' shape=(?, ?, ?, 20) dtype=float32>,) ('rpn_cls_score',) Tensor("rpn_cls_score/Reshape:0", shape=(?, ?, ?, 20), dtype=float32) (<tf.Tensor 'Reshape_3:0' shape=(?, ?, ?, 2) dtype=float32>,) (<tf.Tensor 'rpn_cls_prob:0' shape=(?, ?, ?, ?) dtype=float32>,) ('rpn_cls_prob',) Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32) (<tf.Tensor 'Reshape_5:0' shape=(?, ?, ?, 20) dtype=float32>,) ('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info') Tensor("Reshape_5:0", shape=(?, ?, ?, 20), dtype=float32) ('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info') Tensor("rpn_bbox_pred/Reshape:0", shape=(?, ?, ?, 40), dtype=float32) ('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info') Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32) ((<tf.Tensor 'rois/Reshape:0' shape=(?, 5) dtype=float32>, <tf.Tensor 'rois/PyFunc:1' shape= dtype=float32>),)
Using TensorFlow backend.
2017-12-30 11:01:42.207565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 920MX, pci bus id: 0000:01:00.0, compute capability: 5.0)
/mnt/anaconda/lib/python3.6/site-packages/keras/models.py:252: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
2017-12-30 11:01:43.539344: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.30GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:44.503693: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.38GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:44.953596: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.17GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:45.233261: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.19GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:45.644573: W tensorflow/core/common_runtime/bfc_allocator.cc:217] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.59GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory is available.
2017-12-30 11:01:47.430090: W tensorflow/core/framework/op_kernel.cc:1192] Unknown: KeyError: b'TEST'
Traceback (most recent call last):
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1323, in _do_call
return fn(args)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1302, in _run_fn
status, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.UnknownError: KeyError: b'TEST'
[[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_5/_75, rpn_bbox_pred/Reshape/_77, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]]
[[Node: rois/PyFunc/_79 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_270_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/mnt/chinese-ocr/demo.py", line 17, in
result, img = model.model(img, model='keras')
File "/mnt/chinese-ocr/model.py", line 76, in model
text_recs,tmp,img = text_detect(img)
File "/mnt/chinese-ocr/ctpn/text_detect.py", line 8, in text_detect
scores, boxes,img = ctpn(img)
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 33, in ctpn
scores, boxes = test_ctpn(sess, net, img)
File "/mnt/chinese-ocr/ctpn/lib/fast_rcnn/test.py", line 175, in test_ctpn
rois = sess.run([net.get_output('rois')[0]], feed_dict=feed_dict)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 889, in run
run_metadata_ptr)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1120, in _run
feed_dict_tensor, options, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1317, in _do_run
options, run_metadata)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1336, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnknownError: KeyError: b'TEST'
[[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_5/_75, rpn_bbox_pred/Reshape/_77, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]]
[[Node: rois/PyFunc/_79 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_270_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Caused by op 'rois/PyFunc', defined at: File "/mnt/chinese-ocr/demo.py", line 3, in
import model
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/model.py", line 3, in
from ctpn.text_detect import text_detect
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/ctpn/text_detect.py", line 3, in
from ctpn.ctpn.model import ctpn
File "", line 971, in _find_and_load
File "", line 955, in _find_and_load_unlocked
File "", line 665, in _load_unlocked
File "", line 678, in exec_module
File "", line 219, in _call_with_frames_removed
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 29, in
sess,saver,net = load_tf_model()
File "/mnt/chinese-ocr/ctpn/ctpn/model.py", line 22, in load_tf_model
net = get_network("VGGnet_test")
File "/mnt/chinese-ocr/ctpn/lib/networks/factory.py", line 20, in get_network
return VGGnet_test()
File "/mnt/chinese-ocr/ctpn/lib/networks/VGGnet_test.py", line 14, in init
self.setup()
File "/mnt/chinese-ocr/ctpn/lib/networks/VGGnet_test.py", line 62, in setup
(self.feed('rpn_cls_prob_reshape', 'rpn_bbox_pred', 'im_info').proposal_layer(_feat_stride, anchor_scales, 'TEST', name='rois'))
File "/mnt/chinese-ocr/ctpn/lib/networks/network.py", line 30, in layer_decorated
layer_output = op(self, layer_input, *args, **kwargs)
File "/mnt/chinese-ocr/ctpn/lib/networks/network.py", line 248, in proposal_layer
blob, bbox_delta = tf.py_func(proposal_layer_py,[input[0], input[1], input[2], cfg_key, _feat_stride, anchor_scales], [tf.float32, tf.float32])
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/script_ops.py", line 212, in py_func
input=inp, token=token, Tout=Tout, name=name)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_script_ops.py", line 50, in _py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
op_def=op_def)
File "/mnt/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1470, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
UnknownError (see above for traceback): KeyError: b'TEST' [[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_5/_75, rpn_bbox_pred/Reshape/_77, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]] [[Node: rois/PyFunc/_79 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_270_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Process finished with exit code 1