zhubenfu / License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
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runtime error under Linux. #22

Open charlestamz opened 5 years ago

charlestamz commented 5 years ago

PNet_.reset(new Net((proto_modeldir+"/det1.cfg"), TEST)); PNet->CopyTrainedLayersFrom(proto_model_dir+"/det1.weights"); on the branch linux-cmake, it compiles smoothly. However when I try to run it. I met an error of not finding det1.cfg and det1.weights? det1.cfg和det1.weights不找到。 Please upload the files or tell me how to solve it. thank you.

dreambander commented 5 years ago

您好 请问你运行成功了吗 希望交流一下qq 1171462284 谢谢

zhubenfu commented 4 years ago

plr_ocr_test_2.zip CPU版本 用这个

renchenliang commented 4 years ago

PNet_.reset(new Net((proto_modeldir+"/det1.cfg"), TEST)); PNet->CopyTrainedLayersFrom(proto_model_dir+"/det1.weights"); on the branch linux-cmake, it compiles smoothly. However when I try to run it. I met an error of not finding det1.cfg and det1.weights? det1.cfg和det1.weights不找到。 Please upload the files or tell me how to solve it. thank you. 把原来的权重的名字换成代码中的就可以了。不过我想问,你这个跑通了么?我在加载识别网络时出现问题了