pengcao / chinese_ocr Goto Github PK

我用vgg训练了四个方向的分类，4万的数据，效果不理想。请问文字方向识别数据集是怎么样？

您好！我是一个新手，对文字识别这块比较有兴趣。要运行该项目的话是不是直接运行demo.py文件啊

请问大佬有没有识别的数据集

你好，请问有应用于身份证文字检测和识别吗？效果怎么样

ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-th7tv7ue/grpcio/setup.py'"'"'; file='"'"'/tmp/pip-install-th7tv7ue/grpcio/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-install-th7tv7ue/grpcio/pip-egg-info
cwd: /tmp/pip-install-th7tv7ue/grpcio/
Complete output (2 lines):
Found cython-generated files...
error in grpcio setup command: 'install_requires' must be a string or list of strings containing valid project/version requirement specifiers
----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

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

如果需要安装tensorflow需要什么版本的

我将训练结果用到手写样本进行测试，正确率几乎为0，模型没什么意义啊

运行python demo.py时出现这个错误，怎么解决?

你好,one_hot 函数默认长度是10，当超过活着小于10时，label值多余的都被标注0了，0的位置是‘，这会影响结果？这样标注不会错？

@pengcao 可否说明一下使用了哪个数据集训练的crnn

您好，想请教您如下两个问题？
1.请问您训练使用的训练集是开源的吗？大概有多大？不知道您是否方便分享一下。
2.训练出的模型训练了多少个epoch,大概用了多长时间？
期待回复，感谢。

为什么可以识别例子里的的图片，test里面的其他图片识别的时候会报错
已放弃 核心已转储

D:\QQ\chinese_ocr-master\chinese_ocr-master> python pytorch_demo.py
Using TensorFlow backend.
Traceback (most recent call last):
File "pytorch_demo.py", line 8, in
import pytorch_model as model
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\pytorch_model.py", line 12, in
from ctpn.text_detect import text_detect
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\text_detect.py", line 3, in
from .ctpn.detectors import TextDetector
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\ctpn\detectors.py", line 10, in
from ..lib.fast_rcnn.nms_wrapper import nms
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\lib_init_.py", line 1, in
from . import fast_rcnn
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\lib\fast_rcnn_init_.py", line 2, in
from . import nms_wrapper
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\lib\fast_rcnn\nms_wrapper.py", line 2, in
from ..utils.cython_nms import nms as cython_nms
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\lib\utils_init_.py", line 1, in
from . import bbox
File "D:\QQ\chinese_ocr-master\chinese_ocr-master\ctpn\lib\utils\bbox.py", line 9
cimport numpy as np
^
SyntaxError: invalid syntax