: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+
Hi,
The readme file is not very clear for the demo.
1-what is the difference between darknet_images.py vs image_yolov3.sh and the same for video? Just two ways to run the demo or these are different for comparison?
2- How to compare the speed of yolov3 or v4 with yolo-fastest?
Hi, The readme file is not very clear for the demo. 1-what is the difference between darknet_images.py vs image_yolov3.sh and the same for video? Just two ways to run the demo or these are different for comparison?
2- How to compare the speed of yolov3 or v4 with yolo-fastest?