Closed 2050airobert closed 1 year ago
部署再arm cpu上的话我们更推荐使用tinypose模型,https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/keypoint/tiny_pose#pipeline%E6%80%A7%E8%83%BD 这里有高通865上的测试数据 HRNet属于服务器端的模型,我们有测试T4上的性能可以参考https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/keypoint/KeypointBenchmark.md#benchmark-on-server
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Hi, 请问下,这个hrnet_w32_256x192/model.nb是否在手机或者arm cpu上跑过,尤其是高通865上? 能share下这个下面链接的具体测速数据吗?多谢 https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.3/deploy/lite cp {PadddleDetection_Root}/output_inference/hrnet_w32_256x192/model.nb ./model_keypoint/
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