Comments (5)
感觉得自己训练啊
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怎么会样例很好,测试很差呢,呵呵
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为什么不试试crnn…
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我用crnn训练自己的模型准确率有97%
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* 费了好大劲终于编译成功,试验了提供的图片识别率还不错,但是自己拍照书上的文字完全无法识别,用文本编辑器输入文字后再截图能识别出来,但是错误非常多,大概不到50%的识别准确率。 * 试验了身份证识别也是一样的情况,样例图片能够识别,但是网上下载的清晰的身份证图片识别率很低,很多错误,自己拍的身份证图片也是一样的几乎无法识别
请问您是在什么环境下编译成功的,我在使用的过程中遇到了点问题,能请教您一下吗?
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Related Issues (20)
- Hi,你好。我用虫数据的教程制作了lmdb文件,lenet训练,效果不好 HOT 1
- 11.2号,我没有成功 HOT 8
- 通过 Docker 安装,识别问题 HOT 3
- 请问您的训练数据的字体大小都是统一的吗,还有文字在图片的位置都是居中的呢还是不同位置的都有
- 自然场景文字识别效果目前还不及Tesseract,为什么不考虑用深度网络检测文字呢?
- 环境是python几啊,2.6安装缺少一大堆模块 HOT 1
- deep_ocr_make_caffe_dataset的时候报错 HOT 1
- 测试程序运行出错
- docker环境无法运行
- 如何得到输出结果? HOT 1
- 请教 HOT 1
- os problem
- ImportError: No module named deep_ocr.ocrolib HOT 6
- docker下,图片路径小问题
- Could not open file /workspace/data/chongdata_caffe_cn_sim_digits_64_64/deploy_lenet_train_test.prototxt HOT 1
- Failed to parse NetParameter file
- ModuleNotFoundError: No module named 'deep_ocr.ocrolib' HOT 1
- ModuleNotFoundError: No module named 'caffe'
- 请问如何能像tesseract一样输出每个字的坐标?
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