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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...

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大佬你好,请问model/backbone给的预训练模型是shufflenet官方提供的吗?还是大佬自己训练的呢?如果是自己训练的话,是在哪个数据集上训练的呢,可以给一下训练配置吗?

YOLO target detection train own dataset, the dataset is a single image single target, the model for multiple target detection will miss detection. but single target is ok. Is it...

Hi,good job you have done.I want to read about the artical about the Yolo-Fastest,but I can not find where it is.

Can you provide a tutorial if you can?

in the test the dimension of picture is big ,dimension of picture decide the speed in the test ?

where could i find this file? thx

yolo-fastest-1.1-xl.bin is VOC or COCO THanks!

when i type the command as g++ -fPIC -std=c++11 -D_GLIBCXX_USE_CXX11_ABI=0 yolo_console_dll.cpp -L./lib/ -I. -ldarknet $(pkg-config --cflags --libs opencv) -o test. The error is /tmp/ccis7rE8.o:in function‘main’: yolo_console_dll.cpp:(.text+0xb11):‘Detector::Detector(std::string, std::string, int)’undefined reference collect2:...

I tested yolo-fastest on my PC, which run quite slowly with almost 25ms per frame on average. The XL version also takes even much more consuming time with 45ms. BTW,...