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Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32)
Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("lstm_o/Reshape_2:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("lstm_o/Reshape_2:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_cls_score/Reshape_1:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32)
Tensor("Reshape_2:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_bbox_pred/Reshape_1:0", shape=(?, ?, ?, 40), dtype=float32)
Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32)
2019-11-08 09:57:43.611347: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Tensor_name is : rpn_conv/3x3/biases
Tensor_name is : rpn_cls_score/weights
Tensor_name is : rpn_bbox_pred/biases
Tensor_name is : lstm_o/weights
Tensor_name is : lstm_o/bidirectional_rnn/fw/lstm_cell/bias
Tensor_name is : lstm_o/bidirectional_rnn/bw/lstm_cell/kernel
Tensor_name is : lstm_o/bidirectional_rnn/bw/lstm_cell/bias
Tensor_name is : conv5_3/weights
Tensor_name is : conv5_3/biases
Tensor_name is : lstm_o/biases
Tensor_name is : conv5_2/weights
Tensor_name is : conv2_2/weights
Tensor_name is : conv1_1/weights
Tensor_name is : conv4_2/weights
Tensor_name is : conv2_2/biases
Tensor_name is : conv2_1/biases
Tensor_name is : conv1_2/weights
Tensor_name is : conv4_1/biases
Tensor_name is : conv2_1/weights
Tensor_name is : rpn_cls_score/biases
Tensor_name is : conv1_2/biases
Tensor_name is : rpn_conv/3x3/weights
Tensor_name is : conv3_1/weights
Tensor_name is : conv4_3/weights
Tensor_name is : conv3_2/biases
Tensor_name is : rpn_bbox_pred/weights
Tensor_name is : conv3_2/weights
Tensor_name is : lstm_o/bidirectional_rnn/fw/lstm_cell/kernel
Tensor_name is : conv3_3/biases
Tensor_name is : conv5_2/biases
Tensor_name is : conv5_1/weights
Tensor_name is : conv3_3/weights
Tensor_name is : conv4_1/weights
Tensor_name is : conv1_1/biases
Tensor_name is : conv4_2/biases
Tensor_name is : conv3_1/biases
Tensor_name is : conv4_3/biases
Tensor_name is : conv5_1/biases
load vggnet done
Using TensorFlow backend.
Traceback (most recent call last):
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 "/home/zhaoyulu/web/chinese_ocr/model.py", line 16, in
from ocr.model import predict as ocr
File "/home/zhaoyulu/web/chinese_ocr/ocr/model.py", line 8, in
import keras.backend as K
File "/usr/local/lib/python3.6/dist-packages/keras/init.py", line 3, in
from . import utils
File "/usr/local/lib/python3.6/dist-packages/keras/utils/init.py", line 6, in
from . import conv_utils
File "/usr/local/lib/python3.6/dist-packages/keras/utils/conv_utils.py", line 9, in
from .. import backend as K
File "/usr/local/lib/python3.6/dist-packages/keras/backend/init.py", line 1, in
from .load_backend import epsilon
File "/usr/local/lib/python3.6/dist-packages/keras/backend/load_backend.py", line 90, in
from .tensorflow_backend import *
File "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 54, in
get_graph = tf_keras_backend.get_graph
AttributeError: module 'tensorflow.python.keras.backend' has no attribute 'get_graph'
方便的话请尽量多包的版本号,十分感谢
The text was updated successfully, but these errors were encountered:
Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32)
Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("lstm_o/Reshape_2:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("lstm_o/Reshape_2:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_cls_score/Reshape_1:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_cls_prob:0", shape=(?, ?, ?, ?), dtype=float32)
Tensor("Reshape_2:0", shape=(?, ?, ?, 20), dtype=float32)
Tensor("rpn_bbox_pred/Reshape_1:0", shape=(?, ?, ?, 40), dtype=float32)
Tensor("Placeholder_1:0", shape=(?, 3), dtype=float32)
2019-11-08 09:57:43.611347: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Tensor_name is : rpn_conv/3x3/biases
Tensor_name is : rpn_cls_score/weights
Tensor_name is : rpn_bbox_pred/biases
Tensor_name is : lstm_o/weights
Tensor_name is : lstm_o/bidirectional_rnn/fw/lstm_cell/bias
Tensor_name is : lstm_o/bidirectional_rnn/bw/lstm_cell/kernel
Tensor_name is : lstm_o/bidirectional_rnn/bw/lstm_cell/bias
Tensor_name is : conv5_3/weights
Tensor_name is : conv5_3/biases
Tensor_name is : lstm_o/biases
Tensor_name is : conv5_2/weights
Tensor_name is : conv2_2/weights
Tensor_name is : conv1_1/weights
Tensor_name is : conv4_2/weights
Tensor_name is : conv2_2/biases
Tensor_name is : conv2_1/biases
Tensor_name is : conv1_2/weights
Tensor_name is : conv4_1/biases
Tensor_name is : conv2_1/weights
Tensor_name is : rpn_cls_score/biases
Tensor_name is : conv1_2/biases
Tensor_name is : rpn_conv/3x3/weights
Tensor_name is : conv3_1/weights
Tensor_name is : conv4_3/weights
Tensor_name is : conv3_2/biases
Tensor_name is : rpn_bbox_pred/weights
Tensor_name is : conv3_2/weights
Tensor_name is : lstm_o/bidirectional_rnn/fw/lstm_cell/kernel
Tensor_name is : conv3_3/biases
Tensor_name is : conv5_2/biases
Tensor_name is : conv5_1/weights
Tensor_name is : conv3_3/weights
Tensor_name is : conv4_1/weights
Tensor_name is : conv1_1/biases
Tensor_name is : conv4_2/biases
Tensor_name is : conv3_1/biases
Tensor_name is : conv4_3/biases
Tensor_name is : conv5_1/biases
load vggnet done
Using TensorFlow backend.
Traceback (most recent call last):
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 "/home/zhaoyulu/web/chinese_ocr/model.py", line 16, in
from ocr.model import predict as ocr
File "/home/zhaoyulu/web/chinese_ocr/ocr/model.py", line 8, in
import keras.backend as K
File "/usr/local/lib/python3.6/dist-packages/keras/init.py", line 3, in
from . import utils
File "/usr/local/lib/python3.6/dist-packages/keras/utils/init.py", line 6, in
from . import conv_utils
File "/usr/local/lib/python3.6/dist-packages/keras/utils/conv_utils.py", line 9, in
from .. import backend as K
File "/usr/local/lib/python3.6/dist-packages/keras/backend/init.py", line 1, in
from .load_backend import epsilon
File "/usr/local/lib/python3.6/dist-packages/keras/backend/load_backend.py", line 90, in
from .tensorflow_backend import *
File "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 54, in
get_graph = tf_keras_backend.get_graph
AttributeError: module 'tensorflow.python.keras.backend' has no attribute 'get_graph'
方便的话请尽量多包的版本号,十分感谢
The text was updated successfully, but these errors were encountered: