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keras theano 验证码破解字母+数字

Python 100.00%

captcha python neural-network keras cnn

captcha_break_keras's Introduction

captcha_break_keras

keras theano 验证码破解字母+数字

1. python get_capthch.py

生成2000个随机验证码，作为固定测试集

2. python captcha_test.py

使用生成器gen每次生成batch_size个样本，fit_generator训练，节约内存。在测试集上测试，正确率达到0.95~ (模型预训练权重已给出，可直接使用)

3. python captcha_test_ctc_loss

ctc loss

4. python vgg_16_fine_tune.py

使用vgg16进行特征提取，训练顶部分类层

===============================================

使用腾讯验证码(英文大小写字母)--验证码下载：http://pan.baidu.com/s/1miMaFna

python tencent_captcha_test.py 共10w已标注验证码，取9w训练，1w测试。可在测试中打印预测标签和真实标签（测试样本1w也会单独抽出，存于test_samples3文件夹中，方便对比）也可打印错误样本，看看是哪些字符识别的不好（一般是o-p,b-h等）。 1w测试样本的正确率是 0.7873

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captcha_break_keras's Issues

ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv2d_2/convolution' (op: 'Conv2D') with input shapes: [?,1,78,32], [3,3,32,32]

[root@MyVps captcha_break_keras]# python2.7 captcha_test.py
0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ
Using TensorFlow backend.
captcha_test.py:64: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(32, (3, 3), activation="relu")
x=Convolution2D(322**i,3,3,activation='relu')(x)
captcha_test.py:65: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(32, (3, 3), activation="relu")
x=Convolution2D(322i,3,3,activation='relu')(x)
Traceback (most recent call last):
File "captcha_test.py", line 65, in
x=Convolution2D(32*2i,3,3,activation='relu')(x)
File "/root/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 596, in call
output = self.call(inputs, **kwargs)
File "/root/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 164, in call
dilation_rate=self.dilation_rate)
File "/root/anaconda2/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 3138, in conv2d
data_format='NHWC')
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 670, in convolution
op=op)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 338, in with_space_to_batch
return op(input, num_spatial_dims, padding)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 662, in op
name=name)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 131, in _non_atrous_convolution
name=name)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 399, in conv2d
data_format=data_format, name=name)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2508, in create_op
set_shapes_for_outputs(ret)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs
shapes = shape_func(op)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv2d_2/convolution' (op: 'Conv2D') with input shapes: [?,1,78,32], [3,3,32,32].

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