Yolo-Fastest
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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...
Amazing work! I test the model of yolo-fastest-xl on a jetson nano, the FPS is more than 10 which is quite good. I wonder if the TensorRT is introduced according...
Good job！it‘s really fast. and i wanna know why you use leaky relu but not relu?
How can one use this repos with a custom widthxheight? what should I change in config, width, height anchors, train from scratch??
I trained model using NVIDIA Tesla P100, My cpu is intel i7 1.8G, Why infer 320*320 needing about 30ms, where is wrong? Kirin 990 CPU’s time only is 6.74ms!! where...
I follow the README file to train my dataset. but the total loss is still very large(>=350)at 1000 epochs and without ant decrease tread,HOW CAN I SOLVE THIS PROBLEM?
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: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...