Comments (4)
deploy.protxt consists of some initialize information , you could drop out these parts.
such as
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0.2
}
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Thank you very much, I will check it
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@BestiVictory I have same problem , and I try your method, but finally the score is always 0.5 whatever picture is.
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Unfortunately, I didn't get the correct result, maybe other reasons. Finally, we reimplemented Adobe's paper, and get a good result.@FormatFish, you can make a try, it's a regression problem and Adobe used multi-task regression to solve it.
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Related Issues (12)
- caffe新手,能提供详细一点的使用说明吗?
- 想请教一下AVA1的具体训练参数
- 用自己的数据集fine-tune时,预训练模型用哪一个好?
- difference between train.prototxt and ILGNet_v4.prototxt HOT 1
- Unknown bottom blob 'label' (layer 'loss1/loss', bottom index 1) HOT 5
- How to do the prediction via pretrained model? HOT 4
- 测试了10万张图片,试验结果感觉很不理想,这是最高分图片截图: HOT 7
- How to deploy? : ) HOT 5
- why the image numbers of test set in this repository and in the paper are different ? HOT 1
- AVA数据集在哪里下载 HOT 11
- Random output value for same image HOT 3
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