Shypd.aiThe largest open index of AI toolsPVNet is a Data & Analytics tool that provides pixel-wise voting for 6DoF pose estimation. It is an open-source implementation for computer vision research and robotics applications.
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PVNet is an open-source implementation of a Pixel-wise Voting Network for 6DoF Pose Estimation, as presented at CVPR 2019. It provides code for training and testing the network, including on custom datasets, and supports object detection and pose estimation. The repository includes a clean version for easier use and detailed instructions for installation, dataset configuration, and running demos. It is designed for researchers and developers working in computer vision and robotics, offering tools to compile necessary files, configure datasets like LINEMOD, and visualize the keypoint detection pipeline. Pretrained models are also available for various objects.
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