: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+
Can it do INT8 quantization with MNN or NCNN?
I tried to quantify it, the conversion did not report any errors, but I didn't get any predicted results.
Can it do INT8 quantization with MNN or NCNN? I tried to quantify it, the conversion did not report any errors, but I didn't get any predicted results.