DayBreak

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你好 我提供了snet146的预训练模型,代码也重写了,你可以更新下

Hi, I send train code in imagenet on : https://github.com/ouyanghuiyu/Snet

你是改了代码吧

hi,levine! Your MAP is 0.81?That's impossible,Did you change anything?My result is only 0.62,It's still in the works!

yes! I'm still working on the Data Augmentation

使用src/retinaface2yololandmark.py脚本将retinaface的标记文件转为yolo的格式使用, 使用src/create_train.py 创建训练样本

I see the code with fr: scalar_t roi_y = bbox_offset[0] * spatial_scale; scalar_t roi_x = bbox_offset[1] * spatial_scale; scalar_t px[5] = { roi_x, 0, 0, 0, 0 }; scalar_t py[5]...

您好,请问cv2.dct 具体是怎么操作的呀?