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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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您好,我是初学者。我根据Alexnet做了一个分类网络,然后如何能想您的yolofast一样进行ncnn加速?大概需要做的流程是什么?期待您的回答,谢谢

Is these speed testing on Kirin 990 CPU or NPU,and could you please give the benchmark testing code demo?

I am trying to convert your darknet model to pytorch, but I find that the size of your weight is mismatch with my model, here is my convert code: ```...

![Screenshot from 2020-10-27 10-27-50](https://user-images.githubusercontent.com/44891815/97249811-91059300-183f-11eb-985c-a4b045e0d0f1.png) Hi,how to solve?

![Screenshot from 2020-10-21 16-36-47](https://user-images.githubusercontent.com/44891815/96695303-16122780-13bc-11eb-906a-8dca332f9135.png) Hello,how to use Yolo-Fastest( weight and cfg of COCO and VOC)?Thanks for your reply.

hello, when i prepare training with a generated pretrained model, and follow darknet yolov3 configure. the total loss is large big because of class_loss is very high ,even to 340+....

hey,man,thanks for the work,it's cool. When i convert the model to 8bit by ncnn tool,the accuracy has dropped a lot,can you give me some suggetions?

您好,我想在RGB-D数据上训练yolo,请问要怎么去配置呢?

Hi, Really interesting work. I was wondering where can I find a simple architecture definition for Yolo-Fastest or Yolo-Fastest-XL? I am asking because I wanted to port it to TensorFlow...

I already know that, Thank you very much.