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RMB_TechDing

这是TinyMind人民币编码识别竞赛,第三名(团队名:TechDing)的代码,欢迎大家下载交流。

具体竞赛内容和排名请查看官网网址:https://www.tinymind.cn/competitions/47

核心**:

使用方法:

  1. 首先vim打开config.cfg,设置src_imgs_folder为需要预测的图片文件夹目录, 里面的所有jpg图片都会识别其编码,其他类型的图片不会识别。 设置final_csv_path为识别完成之后的csv结果的路径,必须以.csv结束。 上面两个路径最好都是绝对路径。

  2. 开始运行:直接用 python Main.py即可运行,如果一切顺利,最终会打印出 "GOOD!. All Finished!!!"信息, 且最终的预测结果保存到final_csv_path指向的路径。

  3. 注意:经测试,本项目可以运行在:Ubuntu1604系统, Python 3.6,tensorflow-gpu==1.13.1,keras==2.2.4, numpy,pandas等. 其他tensorflow-gpu版本或keras版本可能运行正常,但不确定。 在Windows下无法运行。 在预测时默认使用第0个GPU来运行,需要注意该GPU没有被其他应用程序占用。

数据下载:

决赛数据集下载地址: https://www.tinymind.cn/link/oss?bucketName=tinymind-competition&objectName=rmb/private_test_data.zip

面值识别挑战数据下载地址:https://pan.baidu.com/s/1oZ4yMlTU3YwnX9KR0huzyQ 提取码:k7bc

如果百度网盘下载慢,可以通过以下链接下载训练集\测试集(其他内容需从百度网盘下载): 12G训练集:https://drive.google.com/drive/folders/1ZWhydsGit1pRNhMRiqpSGV6dPQbYbZFn

4G测试集:https://drive.google.com/drive/folders/1L6dB3jSJ6eVpdCw-XCL2c8LUOeu87QQ_

人民币编码识别挑战预赛数据集下载地址:https://pan.baidu.com/s/1UDkxZSbLA96D8LGnNap5Bw 提取码:bff8

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