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dog-qiuqiu / Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
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how to test and train on ubuntu16.04? #28

Open 2684160504 opened 4 years ago

2684160504 commented 4 years ago

Screenshot from 2020-10-21 16-36-47 Hello,how to use Yolo-Fastest( weight and cfg of COCO and VOC)?Thanks for your reply.

QAbot-zh commented 4 years ago

If you don't install the openmp library, then you should set the option "OPENMP=0" in the Makefile. And then use the "make" command to recompile the darknet.