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用celeba数据集训练的模型,摄像头测试时小脸的框会变大框不准

Open Y-huange opened this issue 2 years ago • 1 comments
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因为要放在嵌入式设备上跑,有速度要求,所以我训练了一个输入尺寸为96*96的模型,FPN只取第一层output1,anchor和step也只取第0项,数据预处理去掉了crop,别的没变。用摄像头测试时,中等脸的置信度很高,框的也准,往后退人脸变小时,框不仅不跟着变小,反而变大,人脸在里面。这是哪里的问题呢?请教各位大神,提前感谢!

Y-huange avatar Jun 14 '23 02:06 Y-huange

loss没收敛吧?是不是数据集里有标注错误的样本

YanjiNing avatar Jun 29 '23 12:06 YanjiNing