End-to-end multi-view three-dimensional human body posture estimation method and system and storage medium
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[0123] In this embodiment, the Human3.6M dataset (Human3.6M: Large Scale Datasets and Predictive Methods for 3D HumanSensing in Natural Environments), the largest multi-view 3D human pose estimation dataset at present, is used, which consists of four datasets in time. Synchronized 50Hz camera shooting, using the marker-based MoCap system to collect 3D human pose data, the data set contains a total of 3.6 million images, consisting of 11 sets of data including 5 sets of female data and 6 sets of male data. The 1st, 5th, 6th, 7th, and 8th data sets of 1.5 million images are used as training sets, and the 9th and 11th sets of data are used as test sets. One-fifth of the complete training set and two-dimensional human pose data sets COCO and MPII are extracted at intervals of 4 frames as the training set of the two-dimensional human pose estimation network Resnet-152, so that the training samples have samples similar to the complete training data. distribution, ...
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