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jiangxiluning / facenet_mtcnn_to_mobile

convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）
MIT License
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请问，MTCNN的三个.tflite如何使用？ #10

Open Annie201521010625 opened 5 years ago

Annie201521010625 commented 5 years ago

请问，MTCNN的三个.tflite如何使用？

sirius0503 commented 4 years ago

@jiangxiluning : Can you plz specify how to use the three .tflite files and what is the difference between them?

Unturned3 commented 4 years ago

Hello, as far as I know, the MTCNN detection pipeline involves 3 stages (pnet, rnet, onet). pnet does some rough processing and hands over the results (areas in the input image where faces are potentially present) to rnet. rnet further refines the results and pass them off to onet. Onet finally determines which of the proposed regions contains actual faces, and outputs the bounding box and face probabilities. So, you have to actually implement the MTCNN 3-stage pipeline and use the 3 .tflite files to load parameters into pnet, rnet, and onet (which isn't really a trivial process)