gpd

Designed specifically for dense cluttered environments, GPD effectively samples and classifies grasps even when objects are closely packed, as highlighted in its key features.

Supports multiple frameworks including OpenVINO for speed, Caffe for GPU acceleration, and a custom Eigen-based CPU implementation, allowing deployment on various hardware (CNN Frameworks section).

Works without pre-existing CAD models by directly processing point cloud data, enabling grasping of unseen objects, a core strength stated in the README.

Accommodates single or dual depth sensor configurations with pre-trained models for different view angles, improving scene perception as described in the Views section.