Comments (4)
@yja1 你说的batch是pnet还是rnet,onet?
如果是pnet输入的话, 如果是Test阶段默认batch=1
如果是rnet或者是onet, ClassifyFace 代替 ClassifyFace_MulImage, 但是如果使用ClassifyFace最好使用CPU, 因为使用GPU有些还没有解决的问题。
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首先感谢您的回复。
我是想要做多路视频的检测(GPU),所以要求速度。想通过提高batch来提速(虽然我测的三个网络的时间并不是耗时的关键,但是增大batch总不会慢)。周五我已经改差不多了。
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OK, 如代码有什么问题随时提问, 祝你成功~
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ClassifyFace_MulImage 感觉 GPU 执行 错误,难道 必须用你的 layer ?
ClassifyFace GPU 就没有问题。
@DaFuCoding 模型比其他模型都要快
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