artyze / yolov3_lite Goto Github PK

你好，感谢您的分享。
請問可以說明一下關於L1 scales regularization 方法具體需要修改源碼那些地方嗎?

do you have the code for compress the yolo-v3 model, as yolo-v3 model with 416&416 need GPU memory 2~3GB, so do you have any suggest for reduce the memory?

@ArtyZe Predictions are not drawing on the image after testing a newly trained model, is there any file that will store the predictions??

@ArtyZe Thanks for referning this repo , i have few queries

1. how different is ur repo with respect to any darknet
2. what was the weight file size before pruning and after pruning
3. Can i plot the weights values before pruning and after pruning to find out the difference

Can you share the pruned yolov2.weights?

When I make didn't have the AVX will have error

author ,
thanks for your providision, i want to run google-quant of this repo.
but idont konw how to get output_scale and output_zero_point in the cfg file.
output_scale = 0, 0, 0.0875, 0, 0.075846, 0, 0.069873, 0, 0.050603, 0, 0.031124, 0, 0.023692, 0.021359, 0.041686
output_zero_point = 0, 0, 94, 0, 101, 0, 131, 0, 129, 0, 110, 0, 122, 131, 99
and your example has no 2007_train.txt and data,can you provide it ?
can you anwser me ? thank you very much

Dear author, i just want to train the model by quantization in the process. How to convert the google quantization model to the original format