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f23a53c3e4eb1fdb6f9ad84a59d1e7eda1889665
lerobot-clone/tests/data/aloha_sim_insertion_scripted/stats.pth

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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 09:47:39 +00:00
PKstats/data.pklFBZZZZZZZZZZZZZZZZ<5A>ctensordict._td
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_rebuild_tensor_v2
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FloatStorage
qX0qXcpuqKtqQKKK<0E>qKK<01>q<17>ccollections
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update stats.pth
2024-03-20 17:26:15 +00:00
q5)<29>q6Rq7X _td_dim_namesq8NubXimageq9h)<29>q:}q;(hNhh)<29>q<Xtopq=h)<29>q>}q?(hNhh)<29>q@(hh((hhX4qAhKtqBQK(KKKKtqC(KKKKtqD<71>h)RqEtqFRqGhh((hhX5qHhKtqIQK(KKKKtqJ(KKKKtqK<71>h)RqLtqMRqNh$h((hhX6qOhKtqPQK(KKKKtqQ(KKKKtqR<71>h)RqStqTRqUh,h((hhX7qVhKtqWQK(KKKKtqX(KKKKtqY<71>h)RqZtq[Rq\uh4h7h8Nubsh4h7h8Nubuh4h7h8NubXnextq]h)<29>q^}q_(hNhh)<29>q`hh)<29>qa}qb(hNhh)<29>qc(h h h9h)<29>qd}qe(hNhh)<29>qfh=h>sh4h7h8Nubuh4h7h8Nubsh4h7h8NubXactionqgh)<29>qh}qi(hNhh)<29>qj(hh((hhX8qkhKtqlQKKK<0E>qmKK<01>qn<71>h)RqotqpRqqhh((hhX9qrhKtqsQKKK<0E>qtKK<01>qu<71>h)RqvtqwRqxh$h((hhX10qyhKtqzQKKK<0E>q{KK<01>q|<7C>h)Rq}tq~Rqh,h((hhX11q<31>hKtq<74>QKKK<0E>q<EFBFBD>KK<01>q<EFBFBD><71>h)Rq<52>tq<74>Rq<52>uh4h7h8Nubuh4h7h8Nub.PK9<>I<EFBFBD>GGPK<stats/byteorderFB8ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZlittlePK<08>=<3D>PK @stats/data/0FB<ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ<5A>3=<3D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>V?]f<><66><EFBFBD> ?,M<>=<3D>d%?z<><7A><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>W?<3F><1E><<3C>Q?<3F><><19>-%<25>>PK<08><1A>W88PK stats/data/1FB
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ג88PK stats/data/10FB ZZZZZZZZZ<12><>><3E><><EFBFBD>= <0A><>? <0B>U?<3F>H?mn<6D>?<00>?Կ<>>gs<67>=0<><30>?<3F>I\?<3F><>L?<3F>"<22>?<00>?PK<00>Ax88PK stats/data/11FB ZZZZZZZZZ<5A><5A><EFBFBD><EFBFBD>15Ϳ<35>Y<EFBFBD>>ӯZ<D3AF><5A><EFBFBD><EFBFBD><EFBFBD>Ga<47><61><00>!<21><>4^Ϳ<1A><>>FbY<62><59><EFBFBD><EFBFBD><EFBFBD>^<5E><>PKvf!<21>88PK stats/data/2FB
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ZZZZZZZZZZ3<5A>!B<>!B%#BPK<08>W><3E> PK :stats/data/5FB6ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ<5A>:<3A>>p<><70>>յ>PK<05><><EFBFBD> PK :stats/data/6FB6ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZCkCCPK<08><><EFBFBD><EFBFBD> PK :stats/data/7FB6ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZPKo<><6F>{ PK :stats/data/8FB6ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ<5A><5A> =2<><32><EFBFBD><EFBFBD>W?)}W<>Mf ?<3F>m<EFBFBD>= <0C><>><<3C><><EFBFBD><02><><EFBFBD>W?<3F><><EFBFBD><<3C>4?<3F>*<06> <0C><>>PK<08>k<EFBFBD>88PK stats/data/9FB
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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 09:47:39 +00:00
stats/data/6PKo<><6F>{ <00>
update stats.pth
2024-03-20 17:26:15 +00:00
stats/data/7PK<00>k<EFBFBD>88  stats/data/8PK<00><><EFBFBD>!88 <00> stats/data/9PKўgU H stats/versionPK<00>j<EFBFBD>P((<00> stats/.data/serialization_idPK,-<00>8 PK<00>PK<00>8
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