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Host info (Pi4-4GB, running Raspbian 10, also reproduced on Pi3B+):
```
10.10.10.4:~/git/darknet $ cat /proc/cpuinfo | grep Model
Model : Raspberry Pi 4 Model B Rev 1.1
10.10.10.4:~/git/darknet…
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hello
would this work (with some modifications) to prune tiny yolo v3/v4?
thanks
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I use tensorRT code for reasoning yolov3_tiny, the single reasoning time can be up to 0.03s, the pure reasoning is close to 25fps, but why does the _process_yolo_output in data_processing.py need 0.3s…
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Hello Rokas,
thank you a lot for your tutorial. I followed your tutorial step by step exactly but go this error although I have changed the values and paths like you described.
Error: You don't …
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Hi, I saw you implementation about Tiny YOLO in
> YOLO-CoreML-MPSNNGraph/TinyYOLO-CoreML/TinyYOLO-CoreML/Helpers.swift
I modified some parameters without changing any main logic. However, I fou…
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i change learning rate=0.000001.when traning it show learning rate=0.00001.the learning rate can'n be changed.
`./darknet yolo test ...` and `./darknet coco test ...` work for tiny yo…
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Hi,
The link http://pjreddie.com/media/files/tiny-yolo-voc.weight show a 404 error.
Thank you!
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Hello.
is have simple question - this repo contains manual discribing how to train Yolov3, Yolov4 and Tiny yolov3.
As i understand - for yolov3 training i need:
1. yolo-obj.cfg ( for Yolov3)
2. In…
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感谢@enazoe做的非常棒的工作！
Yolo-fastest已经发布，据说比yolov4-tiny精度要高。
我尝试着直接把Yolo-fastest训练好的weights文件和cfg文件引入工程，但是似乎有不能解析的layer。
不知道您有没有兴趣将Yolo-fastest加入到这个项目中呢？
估计您是华人，所以直接中文发帖了。见谅！
@enazoe