Ultra-lightweight human body posture key point CNN model
Ultralight-SimplePose Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img, Support NCNN mobile terminal deployment Based on MXNET(>=1.5.1) GLUON(>=0.7.0) framework Top-down strategy: The input image is the person ROI detected by the object detector Lightweight mobile terminal human body posture key point model(COCO 17 person_keypoints) Detector:https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3 Mobile inference frameworks benchmark (4*ARM_CPU) Network Resolution Inference time (NCNN/Kirin 990) FLOPS Weight size HeatmapAccuracy Ultralight-Nano-SimplePose W:192 H:256 ~5.4ms 0.224BFlops 2.3MB 74.3% COCO2017 val keypoints metrics evaluate Average Precision […]
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