Comments (4)
@biubug6 感谢你的反馈,这边的确是笔误了,是在matlab上测的widerfac val集,文档已经修正。不过一般test和val相差不大哈。
from ultra-light-fast-generic-face-detector-1mb.
谢谢你的回复, 顺便再问一下slim 和RFB版本评测的时候图片尺寸也是按照最大边等比例缩放么, 还是固定成640480 or 320240 这两种评测方式结果应该对结果影响不大吧?
from ultra-light-fast-generic-face-detector-1mb.
训练是固定640x480或者320x240训练的,所以测试也是固定尺寸resize的,这样比较贴近训练场景,性能损失小。retinaface是等比缩放训练的,所以测试也采用等比缩放,尽力保证在这个尺度下测试性能,人脸不形变。这样尽量保证都在相对鲁棒的方式下测试。当然这块的测试只是作为参考,实际效果还是要看应用场景。
from ultra-light-fast-generic-face-detector-1mb.
谢谢解惑
from ultra-light-fast-generic-face-detector-1mb.
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