YCG09 / chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
Apache License 2.0
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运行demo.py用时9秒,正常吗? #147

Open gitmessage opened 5 years ago

gitmessage commented 5 years ago

ubuntu 16, gpu:Quadro P2000 运行python demo.py识别作者提供的图片。这个速度正常吗?多谢 Detection took 3.666s for 22 object proposals Mission complete, it took 9.334s

YCG09 commented 5 years ago

你试试批量识别下看看,第一次比较慢

wrsuifeng commented 5 years ago

Mac OS python2.7 运行demo也花了9s

gitmessage commented 5 years ago

demo.jpg复制了一份变成了demo2.jpg。两个文件,第二个文件的速度: Detection took 1.293s for 22 object proposals Mission complete, it took 1.700s 给作者点赞!

PeterBishop0 commented 5 years ago

请问我这个demo复制了多份执行速度还是很慢应该怎么办,平均6s

666888985 commented 4 years ago

@YCG09 ,作者你好,运行demo.py可以出现识别结果吗,为啥看到readme.md里面说的将测试图片放入test_images目录,检测结果会保存到test_result中,没有说识别结果?另外那个评估准确率,识别率,召回率的代码有吗?

666888985 commented 4 years ago

@YCG09 ,有没有完整的先检测再识别的demo代码?