重新实现RetinaFace使用C ++和TensorRT-C/C++开发
RetinaFace C ++重新实现源参考资源RetinaFace带有python代码。
模型转换工具MXNet2Caffe您需要自己添加一些层，并且在caffe中没有upsam RetinaFace C ++重新实现源参考资源RetinaFace用python代码提供在Insightface中。
模型转换工具MXNet2Caffe您需要自己添加一些图层，并且在caffe中没有上采样，您可以用反卷积代替，并且可能会有一点精度损失。
来自mobilenet25的原始模型参考，我已经对其进行了重新培训。
演示$ mkdir build $ cd build / $ cmake ../ $使您需要修改CmakeList文件中的依赖路径。
测速硬件：1080Ti test1：mod
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