Our Repo is constantly being updated,the network model and checkpoints will be released during the paper submission
Repo list :
- An Efficient RGB-D features extractor to category-level and instance-level 6D pose estimation.
- Bidirectional cross attentin fusion with rgb-point cloud and globe-local features.
- An end-to-end category level pose estimation inference scripts that includes real-time segmentation of SAM. (Free of shape piror)
- SAM-VLM to grasping task with 3DBBOX (Using Azure Kinect or Realsense).
Some demos about category-level 6D pose estimation (Without CAD reference).
3.mp4
1.mp4
The requirements.txt file lists the Python packages and their versions that were installed in the development environment. However, please note that this file may contain more packages than are strictly necessary for running this project, as it includes all the dependencies present in the environment at the time of its creation.
We recommend that you review the packages and install only those that are relevant to your specific needs. You can do this by editing the requirements.txt file before running the installation command or by selectively installing the packages you need.
To install the necessary packages, use the following command:
pip install -r requirements.txt