TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. The officially listed compatible models are RealSense D415 and D435, and the FRAMOS D435e. A short comparison of the both depth cameras. ![]() Thanks to the huge amount of training data, 2D skeleton detectors have become very accurate. There have been hand trackers and they didn't really make much of an impression, but a hand tracker that uses just a webcam could be the breakthrough. One of the track of the Chalearn 2014 consists in using a multimodal database of 4,000 ges-tures drawn from a vocabulary of 20 dynamic Italian sign gesture categories. The skeleton-tracking functionality is part of the ARKit toolkit. You can then specify this video as a data source in Nuitrack and record the skeleton via the python shell. GitHub - Razg93/Skeleton-Tracking-using-RealSense-depth-camera: Pose estimation is the task of using an ML model to estimate the pose of a person from an image or a video by estimating the spatial locations of key body joints (keypoints).
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