Yolo-Fastest
Yolo-Fastest copied to clipboard
dog-qiuqiu
: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...
Hi, qiuqiu, Awesome! Very you for the great project sharing! I am facing a little trouble. I want to replace yolov3-spp model in Alphapose. however that convert by pytorch like...
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.
编译时报错，nvcc fatal : Unsupported gpu architecture 'compute_61'，显卡是笔记本rtx 2060 ，请问怎么解决？ when i compile it ，an error occurred，“nvcc fatal : Unsupported gpu architecture 'compute_61'”，my GPU is laptop edition RTX 2060 ，who can...
Thank you for releasing Yolo-Fastest! It is indeed the fastest model I have used on Raspberry pi. However, my running time is about 100ms at 2 threads and more than...
Hello, I am on 1660TiGPU in ubuntu16.04, yolofastest speed is 30 frames, and about 1 frame on Raspberry Pi. Is this normal?Looking forward to your reply, thank you.
In the Ros system, the release topic of the camera is received, then the NCNNSAMPLE is used for testing and the release topic is the test result.
the code of https://github.com/CaoWGG/TensorRT-YOLOv4 can`t converts the yolo-fastest to onnx model. typeerror: buffer is too small for requested array
When I convert the weights file to other model files, it always report error: buffer is too small for requested array. I check the .cfg file,then I found there some...
Metadata
Owner
Metadata
: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...