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Running Pose Sampler
Aditya Agarwal edited this page May 28, 2020
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Training a pose sampling network using the costs calculated by PERCH 2.0.
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Follow the steps in Running-With-Docker (Wiki)[https://github.com/SBPL-Cruz/perception/wiki/Running-With-Docker] under "Using Docker Image" to set up PERCH 2.0 and MaskRCNN with Docker.
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Clone the sampling CNN repo:
git clone https://github.com/SBPL-Cruz/perch_pose_sampler
- Start the Docker image and mount the cloned folder to Docker at
/data/pose_sampler - Run the following to make sure all Python modules are in the PYTHONPATH :
export PYTHONPATH=$PYTHONPATH:/data/pose_sampler/
export PYTHONPATH=$PYTHONPATH:/data/ros_ws/src/perception/sbpl_perception/src/scripts/tools/fat_dataset