Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
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{"top": {"device": "cpu", "shape": [50, 3, 480, 640], "dtype": "torch.uint8"}, "shape": [50], "device": "cpu", "_type": "<class 'tensordict._td.TensorDict'>"}
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