ErgoCub-Visual-Perception

~~Environment~~

Checkpoints and Assets

Download the following archive and place the assets following the indications in the README. Link

Conda

Cuda 11.4.4 (filename cuda_11.4.4_472.50_windows.exe, fourth update)
CUDNN 8.2.1 (filename cudnn-11.3-windows-x64-v8.2.1.32.zip)
TensorRT 8.2.3.0 (filename TensorRT-8.2.3.0.Windows10.x86_64.cuda-11.4.cudnn8.2.zip, second update)

Docker

The docker image is available at andrew/ecub_env:latest, or you can build it with:

docker build -t ecub .

You can launch the bash of the docker's image with access to the GPUs and also mounting the actual path with the following command

docker run -it --rm --gpus=all -v "%cd%":/home/ecub ecub:latest /bin/bash

To run everything

The engines are already contained inside the repository thanks to Git-LFS. You can find the engines also inside the release, or you can rebuild them on your machine. From the root directory (not inside docker):

python scripts/manager.py

python scripts/source.py

python scripts/sink.py

From the root directory (inside the docker):

python scripts/grasping_pipeline.py

From the ISBFSAR directory (inside the docker (you may have to set the PYTHONPATH)):

PYTHONPATH="/home/ecub/ISBFSAR"; python ISBFSAR/main.py

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ErgoCub-Visual-Perception

Environment

Checkpoints and Assets

Conda

Docker

To run everything

0 comments on commit `c387db6`

Commit

There are no files selected for viewing

ErgoCub-Visual-Perception

Environment

Checkpoints and Assets

Conda

Docker

To run everything

0 comments on commit c387db6

0 comments on commit `c387db6`