深度学习物体检测的原理是什么？ - 知乎
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图3 MTCNN做物体检测流程 MTCNN分为三个主要的网络，分别为PNet、RNet和ONet，三个网络模型依次增大。其中PNet是最重要的模型，其用于从任意大小的图像中检测人脸。由于其模型较小，因此处理图像速度较快。而RNet则是以PNet的输出作为输入，PNet的模型大速度慢，并且模型层面无法处理任意大小的图形 ...
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