lxg2015 / Faceboxes
使用pytorch实现了FaceBoxes: A CPU Real-time Face Detector with High Accuracy
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Faceboxes
faceBoxes: a cpu real-time face detector with hight accuracy
Faceboxes is a SSD style object detector, it is designed for fast face detect, has a lightweight yet powerful network structure.
update
-
Better network, our convolution module should be con_bn_relu like, not just conv.
-
Double batch size, it used ~7G memory during train
-
Add use_gpu Flag in predict, add detect_gpu function
Performance is better than before!
Efficiency is not good as official, 60FPS on 1080ti, much slower on CPU, it maybe slow in decoder.
usage
visdom
pytorch 0.2
torchvision
our data annotation
data/all/image01468.jpg 1 119 185 139 139 1
data/all/image01449.jpg 2 9 39 74 74 1 409 93 77 77 1
format：
path/image_name.jpg num_face x y w h 1 x y w h 1
Result
Fddb
和原论文的结果有些差距，主要问题可能是出现在数据增强部分。
tips：这里的另一条曲线DDFD(Multi-view Face Detection Using Deep Convolutional Neural Networks)只是拿来做个参考
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