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Remove EMA model from Diffusion Policy (#134)
2024-05-05 18:26:12 +08:00
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "absl-py"
version = "2.1.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = false
python-versions = ">=3.7"
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "aiohttp"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "3.9.5"
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
]
[package.dependencies]
aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
frozenlist = ">=1.1.1"
multidict = ">=4.5,<7.0"
yarl = ">=1.0,<2.0"
[package.extras]
speedups = ["Brotli", "aiodns", "brotlicffi"]
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name = "aiosignal"
version = "1.3.1"
description = "aiosignal: a list of registered asynchronous callbacks"
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python-versions = ">=3.7"
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frozenlist = ">=1.1.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "antlr4-python3-runtime"
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description = "ANTLR 4.9.3 runtime for Python 3.7"
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python-versions = "*"
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optional = false
python-versions = "*"
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
python-versions = ">=3.7"
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Added pre-commit
2024-02-29 19:26:35 +08:00
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Clean & update pyproject
2024-04-16 18:09:56 +08:00
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Added pre-commit
2024-02-29 19:26:35 +08:00
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2024-02-29 02:11:29 +08:00
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Add cmake
2024-03-27 23:33:26 +08:00
[[package]]
name = "cmake"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "3.29.2"
Add cmake
2024-03-27 23:33:26 +08:00
description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add cmake
2024-03-27 23:33:26 +08:00
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test = ["coverage (>=4.2)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
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Add pytest-cov
2024-03-26 22:25:22 +08:00
[[package]]
name = "coverage"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "7.5.1"
Add pytest-cov
2024-03-26 22:25:22 +08:00
description = "Code coverage measurement for Python"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add pytest-cov
2024-03-26 22:25:22 +08:00
python-versions = ">=3.8"
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Add pytest-cov
2024-03-26 22:25:22 +08:00
]
[package.dependencies]
tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
[package.extras]
toml = ["tomli"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "datasets"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "2.19.1"
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
description = "HuggingFace community-driven open-source library of datasets"
optional = false
python-versions = ">=3.8.0"
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
]
[package.dependencies]
aiohttp = "*"
dill = ">=0.3.0,<0.3.9"
filelock = "*"
Loads episode_data_index and stats during dataset __init__ (#85) Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>
2024-04-23 20:13:25 +08:00
fsspec = {version = ">=2023.1.0,<=2024.3.1", extras = ["http"]}
huggingface-hub = ">=0.21.2"
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
multiprocess = "*"
numpy = ">=1.17"
packaging = "*"
pandas = "*"
pyarrow = ">=12.0.0"
pyarrow-hotfix = "*"
pyyaml = ">=5.1"
requests = ">=2.19.0"
tqdm = ">=4.62.1"
xxhash = "*"
[package.extras]
apache-beam = ["apache-beam (>=2.26.0)"]
audio = ["librosa", "soundfile (>=0.12.1)"]
benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
Loads episode_data_index and stats during dataset __init__ (#85) Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>
2024-04-23 20:13:25 +08:00
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docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
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s3 = ["s3fs"]
Loads episode_data_index and stats during dataset __init__ (#85) Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com> Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>
2024-04-23 20:13:25 +08:00
tensorflow = ["tensorflow (>=2.6.0)"]
tensorflow-gpu = ["tensorflow (>=2.6.0)"]
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
torch = ["torch"]
vision = ["Pillow (>=6.2.1)"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "debugpy"
version = "1.8.1"
description = "An implementation of the Debug Adapter Protocol for Python"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.8"
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Add video decoding to LeRobotDataset (#92)
2024-05-03 06:50:19 +08:00
[[package]]
name = "decorator"
version = "4.4.2"
description = "Decorators for Humans"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
files = [
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "diffusers"
Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
version = "0.27.2"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "State-of-the-art diffusion in PyTorch and JAX."
optional = false
python-versions = ">=3.8.0"
files = [
Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
]
[package.dependencies]
filelock = "*"
huggingface-hub = ">=0.20.2"
importlib-metadata = "*"
numpy = "*"
Pillow = "*"
regex = "!=2019.12.17"
requests = "*"
safetensors = ">=0.3.1"
[package.extras]
Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
dev = ["GitPython (<3.1.19)", "Jinja2", "accelerate (>=0.11.0)", "compel (==0.1.8)", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.1.5)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4)", "torchvision", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
docs = ["hf-doc-builder (>=0.3.0)"]
flax = ["flax (>=0.4.1)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)"]
quality = ["hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<=2.0.0)"]
Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark (>=0.2.0)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "torchvision", "transformers (>=4.25.1)"]
torch = ["accelerate (>=0.11.0)", "torch (>=1.4)"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "tensorboard"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "dill"
version = "0.3.8"
description = "serialize all of Python"
optional = false
python-versions = ">=3.8"
files = [
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[package.extras]
graph = ["objgraph (>=1.7.2)"]
profile = ["gprof2dot (>=2022.7.29)"]
Added pre-commit
2024-02-29 19:26:35 +08:00
[[package]]
name = "distlib"
version = "0.3.8"
description = "Distribution utilities"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Added pre-commit
2024-02-29 19:26:35 +08:00
python-versions = "*"
files = [
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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 17:47:39 +08:00
[[package]]
name = "dm-control"
version = "1.0.14"
description = "Continuous control environments and MuJoCo Python bindings."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
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
python-versions = ">=3.8"
files = [
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[package.dependencies]
absl-py = ">=0.7.0"
dm-env = "*"
dm-tree = "!=0.1.2"
glfw = "*"
labmaze = "*"
lxml = "*"
mujoco = ">=2.3.7"
numpy = ">=1.9.0"
protobuf = ">=3.19.4"
pyopengl = ">=3.1.4"
pyparsing = ">=3.0.0"
requests = "*"
scipy = "*"
setuptools = "!=50.0.0"
tqdm = "*"
[package.extras]
hdf5 = ["h5py"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "dm-env"
version = "1.6"
description = "A Python interface for Reinforcement Learning environments."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = ">=3.7"
files = [
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[package.dependencies]
absl-py = "*"
dm-tree = "*"
numpy = "*"
[[package]]
name = "dm-tree"
version = "0.1.8"
description = "Tree is a library for working with nested data structures."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = "*"
files = [
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[[package]]
name = "docker-pycreds"
version = "0.4.0"
description = "Python bindings for the docker credentials store API"
optional = false
python-versions = "*"
files = [
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[package.dependencies]
six = ">=1.4.0"
ready for review
2024-03-21 18:18:50 +08:00
[[package]]
name = "egl-probe"
version = "1.0.2"
description = ""
optional = false
python-versions = "*"
files = [
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "einops"
Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
version = "0.8.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "A new flavour of deep learning operations"
optional = false
python-versions = ">=3.8"
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Remove warnings (#111) - Replace `use_pretrained_backbone` with `pretrained_backbone_weights` - Bump diffusers' minimum version `0.26.3` -> `0.27.2` - Add ignore flags in CI's pytest - Change Box observation spaces in simulation environments - Set `version_base="1.2"` in Hydra initializations - Bump einops' minimum version `0.7.0` -> `0.8.0`
2024-04-29 06:31:33 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "exceptiongroup"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "1.2.1"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "Backport of PEP 654 (exception groups)"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.7"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
]
[package.extras]
test = ["pytest (>=6)"]
WIP Upgrading simxam from mujoco-py to mujoco python bindings
2024-03-25 00:36:22 +08:00
[[package]]
name = "farama-notifications"
version = "0.0.4"
description = "Notifications for all Farama Foundation maintained libraries."
optional = false
python-versions = "*"
files = [
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "fasteners"
version = "0.19"
description = "A python package that provides useful locks"
optional = false
python-versions = ">=3.6"
files = [
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[[package]]
name = "filelock"
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
version = "3.14.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
files = [
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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[package.extras]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
typing = ["typing-extensions (>=4.8)"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "fsspec"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "2024.3.1"
Added poetry setup
2024-02-29 02:11:29 +08:00
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python-versions = ">=3.8"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
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adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
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gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
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ssh = ["paramiko"]
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[[package]]
name = "gdown"
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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gitdb = ">=4.0.1,<5"
[package.extras]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "glfw"
version = "2.7.0"
description = "A ctypes-based wrapper for GLFW3."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = "*"
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ready for review
2024-03-21 18:18:50 +08:00
[[package]]
name = "grpcio"
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
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ready for review
2024-03-21 18:18:50 +08:00
description = "HTTP/2-based RPC framework"
optional = false
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
python-versions = ">=3.8"
ready for review
2024-03-21 18:18:50 +08:00
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2024-05-01 23:17:18 +08:00
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ready for review
2024-03-21 18:18:50 +08:00
]
[package.extras]
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
protobuf = ["grpcio-tools (>=1.63.0)"]
ready for review
2024-03-21 18:18:50 +08:00
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-08 16:25:45 +08:00
[[package]]
name = "gym-aloha"
version = "0.1.0"
description = "A gym environment for ALOHA"
optional = true
Publish environments (#120)
2024-05-03 22:25:45 +08:00
python-versions = "<4.0,>=3.10"
files = [
{file = "gym_aloha-0.1.0-py3-none-any.whl", hash = "sha256:62e36eeb09284422cbb7baca0292c6f65e38ec8774bf9b0bf7159ad5990cf29a"},
{file = "gym_aloha-0.1.0.tar.gz", hash = "sha256:bab332f469ba5ffe655fc3e9647aead05d2cb3b950dfb1f299b9539b3857ad7e"},
]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-08 16:25:45 +08:00
[package.dependencies]
dm-control = "1.0.14"
Publish environments (#120)
2024-05-03 22:25:45 +08:00
gymnasium = ">=0.29.1,<0.30.0"
imageio = {version = ">=2.34.0,<3.0.0", extras = ["ffmpeg"]}
mujoco = ">=2.3.7,<3.0.0"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-08 16:25:45 +08:00
Publish environments (#120)
2024-05-03 22:25:45 +08:00
[package.extras]
dev = ["debugpy (>=1.8.1,<2.0.0)", "pre-commit (>=3.7.0,<4.0.0)"]
test = ["pytest (>=8.1.0,<9.0.0)", "pytest-cov (>=5.0.0,<6.0.0)"]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-08 16:25:45 +08:00
backup wip
2024-04-06 00:38:29 +08:00
[[package]]
name = "gym-pusht"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "0.1.1"
Add gym-aloha, rename simxarm -> xarm, refactor
2024-04-08 22:18:53 +08:00
description = "A gymnasium environment for PushT."
backup wip
2024-04-06 00:38:29 +08:00
optional = true
Publish environments (#120)
2024-05-03 22:25:45 +08:00
python-versions = "<4.0,>=3.10"
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
{file = "gym_pusht-0.1.1-py3-none-any.whl", hash = "sha256:dcf8644713db48286e907aabb11e005b0592632e323baa40d1a4f2dfbbc76c3d"},
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Publish environments (#120)
2024-05-03 22:25:45 +08:00
]
backup wip
2024-04-06 00:38:29 +08:00
[package.dependencies]
Publish environments (#120)
2024-05-03 22:25:45 +08:00
gymnasium = ">=0.29.1,<0.30.0"
opencv-python = ">=4.9.0.80,<5.0.0.0"
pygame = ">=2.5.2,<3.0.0"
pymunk = ">=6.6.0,<7.0.0"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
scikit-image = ">=0.22.0"
Publish environments (#120)
2024-05-03 22:25:45 +08:00
shapely = ">=2.0.3,<3.0.0"
backup wip
2024-04-06 00:38:29 +08:00
Publish environments (#120)
2024-05-03 22:25:45 +08:00
[package.extras]
dev = ["debugpy (>=1.8.1,<2.0.0)", "pre-commit (>=3.7.0,<4.0.0)"]
test = ["pytest (>=8.1.0,<9.0.0)", "pytest-cov (>=5.0.0,<6.0.0)"]
backup wip
2024-04-06 00:38:29 +08:00
(WIP) Add gym-xarm
2024-04-05 21:35:20 +08:00
[[package]]
name = "gym-xarm"
version = "0.1.0"
description = "A gym environment for xArm"
optional = true
Publish environments (#120)
2024-05-03 22:25:45 +08:00
python-versions = "<4.0,>=3.10"
files = [
{file = "gym_xarm-0.1.0-py3-none-any.whl", hash = "sha256:d10ac19a59d302201a9b8bd913530211b1058467b787ad91a657907e40cdbc13"},
{file = "gym_xarm-0.1.0.tar.gz", hash = "sha256:fc05f9d02af1f0205275311669dc191ce431be484e221a96401eb544764eb986"},
]
(WIP) Add gym-xarm
2024-04-05 21:35:20 +08:00
[package.dependencies]
Publish environments (#120)
2024-05-03 22:25:45 +08:00
gymnasium = ">=0.29.1,<0.30.0"
gymnasium-robotics = ">=1.2.4,<2.0.0"
mujoco = ">=2.3.7,<3.0.0"
(WIP) Add gym-xarm
2024-04-05 21:35:20 +08:00
Publish environments (#120)
2024-05-03 22:25:45 +08:00
[package.extras]
dev = ["debugpy (>=1.8.1,<2.0.0)", "pre-commit (>=3.7.0,<4.0.0)"]
test = ["pytest (>=8.1.0,<9.0.0)", "pytest-cov (>=5.0.0,<6.0.0)"]
WIP WIP WIP train.py works, loss going down WIP eval.py Fix WIP (eval running, TODO: verify results reproduced) Eval works! (testing reproducibility) WIP pretrained model pusht reproduces same results as torchrl pretrained model pusht reproduces same results as torchrl Remove AbstractPolicy, Move all queues in select_action WIP test_datasets passed (TODO: re-enable NormalizeTransform)
2024-03-31 23:05:25 +08:00
WIP Upgrading simxam from mujoco-py to mujoco python bindings
2024-03-25 00:36:22 +08:00
[[package]]
name = "gymnasium"
version = "0.29.1"
description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)."
optional = false
python-versions = ">=3.8"
files = [
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{file = "gymnasium-0.29.1.tar.gz", hash = "sha256:1a532752efcb7590478b1cc7aa04f608eb7a2fdad5570cd217b66b6a35274bb1"},
]
[package.dependencies]
cloudpickle = ">=1.2.0"
farama-notifications = ">=0.0.1"
numpy = ">=1.21.0"
typing-extensions = ">=4.3.0"
[package.extras]
accept-rom-license = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)"]
all = ["box2d-py (==2.3.5)", "cython (<3)", "imageio (>=2.14.1)", "jax (>=0.4.0)", "jaxlib (>=0.4.0)", "lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "mujoco (>=2.3.3)", "mujoco-py (>=2.1,<2.2)", "opencv-python (>=3.0)", "pygame (>=2.1.3)", "shimmy[atari] (>=0.1.0,<1.0)", "swig (==4.*)", "torch (>=1.0.0)"]
atari = ["shimmy[atari] (>=0.1.0,<1.0)"]
box2d = ["box2d-py (==2.3.5)", "pygame (>=2.1.3)", "swig (==4.*)"]
classic-control = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
jax = ["jax (>=0.4.0)", "jaxlib (>=0.4.0)"]
mujoco = ["imageio (>=2.14.1)", "mujoco (>=2.3.3)"]
mujoco-py = ["cython (<3)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "mujoco-py (>=2.1,<2.2)"]
other = ["lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "opencv-python (>=3.0)", "torch (>=1.0.0)"]
testing = ["pytest (==7.1.3)", "scipy (>=1.7.3)"]
toy-text = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
[[package]]
name = "gymnasium-robotics"
version = "1.2.4"
description = "Robotics environments for the Gymnasium repo."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
WIP Upgrading simxam from mujoco-py to mujoco python bindings
2024-03-25 00:36:22 +08:00
python-versions = ">=3.8"
files = [
{file = "gymnasium-robotics-1.2.4.tar.gz", hash = "sha256:d304192b066f8b800599dfbe3d9d90bba9b761ee884472bdc4d05968a8bc61cb"},
{file = "gymnasium_robotics-1.2.4-py3-none-any.whl", hash = "sha256:c2cb23e087ca0280ae6802837eb7b3a6d14e5bd24c00803ab09f015fcff3eef5"},
]
[package.dependencies]
gymnasium = ">=0.26"
imageio = "*"
Jinja2 = ">=3.0.3"
mujoco = ">=2.3.3,<3.0"
numpy = ">=1.21.0"
PettingZoo = ">=1.23.0"
[package.extras]
mujoco-py = ["cython (<3)", "mujoco-py (>=2.1,<2.2)"]
testing = ["Jinja2 (>=3.0.3)", "PettingZoo (>=1.23.0)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "pytest (==7.0.1)"]
Add h5py
2024-03-06 19:28:20 +08:00
[[package]]
name = "h5py"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "3.11.0"
Add h5py
2024-03-06 19:28:20 +08:00
description = "Read and write HDF5 files from Python"
optional = false
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add h5py
2024-03-06 19:28:20 +08:00
]
[package.dependencies]
numpy = ">=1.17.3"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "huggingface-hub"
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
version = "0.21.4"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
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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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
]
[package.dependencies]
filelock = "*"
fsspec = ">=2023.5.0"
packaging = ">=20.9"
pyyaml = ">=5.1"
requests = "*"
tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors", "torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
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Added pre-commit
2024-02-29 19:26:35 +08:00
[[package]]
name = "identify"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "2.5.36"
Added pre-commit
2024-02-29 19:26:35 +08:00
description = "File identification library for Python"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Added pre-commit
2024-02-29 19:26:35 +08:00
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added pre-commit
2024-02-29 19:26:35 +08:00
]
[package.extras]
license = ["ukkonen"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "idna"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "3.7"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.5"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
[[package]]
name = "imagecodecs"
version = "2024.1.1"
description = "Image transformation, compression, and decompression codecs"
optional = true
python-versions = ">=3.9"
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[package.dependencies]
numpy = "*"
[package.extras]
all = ["matplotlib", "numcodecs", "tifffile"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "imageio"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "2.34.1"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
optional = false
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
{file = "imageio-2.34.1-py3-none-any.whl", hash = "sha256:408c1d4d62f72c9e8347e7d1ca9bc11d8673328af3913868db3b828e28b40a4c"},
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
Clean & update pyproject
2024-04-16 18:09:56 +08:00
imageio-ffmpeg = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
numpy = "*"
pillow = ">=8.3.2"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
psutil = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
build = ["wheel"]
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
ffmpeg = ["imageio-ffmpeg", "psutil"]
fits = ["astropy"]
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
gdal = ["gdal"]
itk = ["itk"]
linting = ["black", "flake8"]
pillow-heif = ["pillow-heif"]
pyav = ["av"]
test = ["fsspec[github]", "pytest", "pytest-cov"]
tifffile = ["tifffile"]
[[package]]
name = "imageio-ffmpeg"
version = "0.4.9"
description = "FFMPEG wrapper for Python"
optional = false
python-versions = ">=3.5"
files = [
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]
[package.dependencies]
setuptools = "*"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "importlib-metadata"
ready for review
2024-03-21 18:18:50 +08:00
version = "7.1.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
ready for review
2024-03-21 18:18:50 +08:00
{file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
{file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
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
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
perf = ["ipython"]
ready for review
2024-03-21 18:18:50 +08:00
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
[[package]]
name = "intel-openmp"
version = "2021.4.0"
description = "Intel OpenMP* Runtime Library"
optional = false
python-versions = "*"
files = [
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "jinja2"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "3.1.4"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "A very fast and expressive template engine."
optional = false
python-versions = ">=3.7"
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
{file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
MarkupSafe = ">=2.0"
[package.extras]
i18n = ["Babel (>=2.7)"]
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
[[package]]
name = "labmaze"
version = "1.0.6"
description = "LabMaze: DeepMind Lab's text maze generator."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
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
python-versions = "*"
files = [
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numpy = ">=1.8.0"
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "lazy-loader"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "0.4"
description = "Makes it easy to load subpackages and functions on demand."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = ">=3.7"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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2024-02-29 02:11:29 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
[package.dependencies]
packaging = "*"
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
dev = ["changelist (==0.5)"]
lint = ["pre-commit (==3.7.0)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
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name = "llvmlite"
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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 17:47:39 +08:00
[[package]]
name = "lxml"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
version = "5.2.1"
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
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
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
python-versions = ">=3.6"
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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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 17:47:39 +08:00
]
[package.extras]
cssselect = ["cssselect (>=0.7)"]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
html-clean = ["lxml-html-clean"]
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
html5 = ["html5lib"]
htmlsoup = ["BeautifulSoup4"]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
source = ["Cython (>=3.0.10)"]
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
ready for review
2024-03-21 18:18:50 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add video decoding to LeRobotDataset (#92)
2024-05-03 06:50:19 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "mujoco"
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
version = "2.3.7"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "MuJoCo Physics Simulator"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = ">=3.8"
files = [
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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Added poetry setup
2024-02-29 02:11:29 +08:00
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glfw = "*"
numpy = "*"
pyopengl = "*"
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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nvidia-cublas-cu12 = "*"
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nvidia-nvjitlink-cu12 = "*"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Nvidia JIT LTO Library"
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python-versions = ">=3"
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "omegaconf"
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python-versions = ">=3.6"
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antlr4-python3-runtime = "==4.9.*"
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python-versions = ">=3.6"
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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 17:47:39 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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2024-03-08 17:47:39 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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pytz = ">=2020.1"
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gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
hdf5 = ["tables (>=3.8.0)"]
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test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
xml = ["lxml (>=4.9.2)"]
WIP Upgrading simxam from mujoco-py to mujoco python bindings
2024-03-25 00:36:22 +08:00
[[package]]
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Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
WIP Upgrading simxam from mujoco-py to mujoco python bindings
2024-03-25 00:36:22 +08:00
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testing = ["AutoROM", "pre-commit", "pynput", "pytest", "pytest-cov", "pytest-markdown-docs", "pytest-xdist"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "pillow"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
version = "10.3.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
typing = ["typing-extensions"]
xmp = ["defusedxml"]
Added pre-commit
2024-02-29 19:26:35 +08:00
[[package]]
name = "platformdirs"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "4.2.1"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Added pre-commit
2024-02-29 19:26:35 +08:00
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
{file = "platformdirs-4.2.1-py3-none-any.whl", hash = "sha256:17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1"},
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Added pre-commit
2024-02-29 19:26:35 +08:00
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[package.extras]
docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
type = ["mypy (>=1.8)"]
Added pre-commit
2024-02-29 19:26:35 +08:00
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "pluggy"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "1.5.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "plugin and hook calling mechanisms for python"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.8"
files = [
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
Added pre-commit
2024-02-29 19:26:35 +08:00
[[package]]
name = "pre-commit"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
version = "3.7.0"
Added pre-commit
2024-02-29 19:26:35 +08:00
description = "A framework for managing and maintaining multi-language pre-commit hooks."
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Added pre-commit
2024-02-29 19:26:35 +08:00
python-versions = ">=3.9"
files = [
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added pre-commit
2024-02-29 19:26:35 +08:00
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Add video decoding to LeRobotDataset (#92)
2024-05-03 06:50:19 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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2024-04-27 20:00:38 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
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Add video decoding to LeRobotDataset (#92)
2024-05-03 06:50:19 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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2024-02-29 02:11:29 +08:00
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Clean & update pyproject
2024-04-16 18:09:56 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "pymunk"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
cffi = ">=1.15.0"
[package.extras]
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
dev = ["aafigure", "matplotlib", "numpy", "pygame", "pyglet (<2.0.0)", "sphinx", "wheel"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "pyopengl"
version = "3.1.7"
description = "Standard OpenGL bindings for Python"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = "*"
files = [
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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 17:47:39 +08:00
[[package]]
name = "pyparsing"
version = "3.1.2"
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
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
python-versions = ">=3.6.8"
files = [
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[package.extras]
diagrams = ["jinja2", "railroad-diagrams"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "pysocks"
version = "1.7.1"
description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "pytest"
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
version = "8.2.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "pytest: simple powerful testing with Python"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.8"
files = [
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
pluggy = ">=1.5,<2.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
[package.extras]
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
Add pytest-cov
2024-03-26 22:25:22 +08:00
[[package]]
name = "pytest-cov"
version = "5.0.0"
description = "Pytest plugin for measuring coverage."
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add pytest-cov
2024-03-26 22:25:22 +08:00
python-versions = ">=3.8"
files = [
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[package.dependencies]
coverage = {version = ">=5.2.1", extras = ["toml"]}
pytest = ">=4.6"
[package.extras]
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
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[package.dependencies]
six = ">=1.5"
[[package]]
name = "pytz"
version = "2024.1"
description = "World timezone definitions, modern and historical"
optional = false
python-versions = "*"
files = [
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "pyyaml"
version = "6.0.1"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.6"
files = [
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "regex"
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
version = "2024.4.28"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "Alternative regular expression module, to replace re."
optional = false
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
python-versions = ">=3.8"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
files = [
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Add dataset visualization with rerun.io (#131) Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>
2024-05-04 22:07:14 +08:00
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ready for review
2024-03-21 18:18:50 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "scikit-image"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "0.23.2"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Image processing in Python"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
python-versions = ">=3.10"
Added poetry setup
2024-02-29 02:11:29 +08:00
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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[package.extras]
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "scipy"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
version = "1.13.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Fundamental algorithms for scientific computing in Python"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = ">=3.9"
files = [
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
numpy = ">=1.22.4,<2.3"
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "sentry-sdk"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "2.1.1"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Python client for Sentry (https://sentry.io)"
optional = false
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
python-versions = ">=3.6"
Added poetry setup
2024-02-29 02:11:29 +08:00
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
certifi = "*"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
urllib3 = ">=1.26.11"
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
aiohttp = ["aiohttp (>=3.5)"]
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
anthropic = ["anthropic (>=0.16)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
arq = ["arq (>=0.23)"]
asyncpg = ["asyncpg (>=0.23)"]
beam = ["apache-beam (>=2.12)"]
bottle = ["bottle (>=0.12.13)"]
celery = ["celery (>=3)"]
ready for review
2024-03-21 18:18:50 +08:00
celery-redbeat = ["celery-redbeat (>=2)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
chalice = ["chalice (>=1.16.0)"]
clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
django = ["django (>=1.8)"]
falcon = ["falcon (>=1.4)"]
fastapi = ["fastapi (>=0.79.0)"]
flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
grpcio = ["grpcio (>=1.21.1)"]
httpx = ["httpx (>=0.16.0)"]
huey = ["huey (>=2)"]
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
huggingface-hub = ["huggingface-hub (>=0.22)"]
langchain = ["langchain (>=0.0.210)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
loguru = ["loguru (>=0.5)"]
Merge remote-tracking branch 'origin/main' into user/alexander-soare/multistep_policy_and_serial_env
2024-03-15 21:05:35 +08:00
openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
opentelemetry-experimental = ["opentelemetry-distro (>=0.40b0,<1.0)", "opentelemetry-instrumentation-aiohttp-client (>=0.40b0,<1.0)", "opentelemetry-instrumentation-django (>=0.40b0,<1.0)", "opentelemetry-instrumentation-fastapi (>=0.40b0,<1.0)", "opentelemetry-instrumentation-flask (>=0.40b0,<1.0)", "opentelemetry-instrumentation-requests (>=0.40b0,<1.0)", "opentelemetry-instrumentation-sqlite3 (>=0.40b0,<1.0)", "opentelemetry-instrumentation-urllib (>=0.40b0,<1.0)"]
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
pure-eval = ["asttokens", "executing", "pure-eval"]
Added poetry setup
2024-02-29 02:11:29 +08:00
pymongo = ["pymongo (>=3.1)"]
pyspark = ["pyspark (>=2.4.4)"]
quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
rq = ["rq (>=0.6)"]
sanic = ["sanic (>=0.8)"]
sqlalchemy = ["sqlalchemy (>=1.2)"]
starlette = ["starlette (>=0.19.1)"]
starlite = ["starlite (>=1.48)"]
tornado = ["tornado (>=5)"]
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name = "setproctitle"
version = "1.3.3"
description = "A Python module to customize the process title"
optional = false
python-versions = ">=3.7"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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mpmath = ">=0.19"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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ready for review
2024-03-21 18:18:50 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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name = "termcolor"
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python-versions = ">=3.8"
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tests = ["pytest", "pytest-cov"]
[[package]]
name = "tifffile"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "2024.5.3"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Read and write TIFF files"
Remove direct dependencies
2024-04-09 16:38:08 +08:00
optional = true
Added poetry setup
2024-02-29 02:11:29 +08:00
python-versions = ">=3.9"
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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[package.dependencies]
numpy = "*"
[package.extras]
all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
python-versions = ">=3.7"
files = [
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "torch"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "2.3.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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python-versions = ">=3.8.0"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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filelock = "*"
fsspec = "*"
jinja2 = "*"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
networkx = "*"
nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
sympy = "*"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
Added poetry setup
2024-02-29 02:11:29 +08:00
typing-extensions = ">=4.8.0"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
optree = ["optree (>=0.9.1)"]
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[[package]]
name = "torchvision"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "0.18.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
description = "image and video datasets and models for torch deep learning"
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
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[package.dependencies]
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pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
torch = "2.3.0"
Add CI, Remove old install files
2024-03-05 23:03:03 +08:00
[package.extras]
scipy = ["scipy"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "tqdm"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "4.66.4"
Added poetry setup
2024-02-29 02:11:29 +08:00
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Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "triton"
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
version = "2.3.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
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Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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[package.dependencies]
filelock = "*"
[package.extras]
build = ["cmake (>=3.20)", "lit"]
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
[[package]]
name = "typing-extensions"
backup wip
2024-04-06 00:38:29 +08:00
version = "4.11.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
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backup wip
2024-04-06 00:38:29 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
name = "tzdata"
version = "2024.1"
description = "Provider of IANA time zone data"
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python-versions = ">=2"
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Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "urllib3"
version = "2.2.1"
description = "HTTP library with thread-safe connection pooling, file post, and more."
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zstd = ["zstandard (>=0.18.0)"]
Added pre-commit
2024-02-29 19:26:35 +08:00
[[package]]
name = "virtualenv"
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
version = "20.26.1"
Added pre-commit
2024-02-29 19:26:35 +08:00
description = "Virtual Python Environment builder"
Clean & update pyproject
2024-04-16 18:09:56 +08:00
optional = true
Added pre-commit
2024-02-29 19:26:35 +08:00
python-versions = ">=3.7"
files = [
Use PytorchModelHubMixin to save models as safetensors (#125) Co-authored-by: Remi <re.cadene@gmail.com>
2024-05-01 23:17:18 +08:00
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Added pre-commit
2024-02-29 19:26:35 +08:00
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distlib = ">=0.3.7,<1"
filelock = ">=3.12.2,<4"
platformdirs = ">=3.9.1,<5"
[package.extras]
Add torchaudio (#110)
2024-04-27 20:00:38 +08:00
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
Added pre-commit
2024-02-29 19:26:35 +08:00
test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "wandb"
Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
version = "0.16.6"
Added poetry setup
2024-02-29 02:11:29 +08:00
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Merge remote-tracking branch 'Cadene/user/rcadene/2024_03_31_remove_torchrl' into refactor_act_remove_torchrl
2024-04-05 18:41:11 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
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docker-pycreds = ">=0.4.0"
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psutil = ">=5.0.0"
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requests = ">=2.0.0,<3"
sentry-sdk = ">=1.0.0"
setproctitle = "*"
setuptools = "*"
[package.extras]
async = ["httpx (>=0.23.0)"]
aws = ["boto3"]
azure = ["azure-identity", "azure-storage-blob"]
gcp = ["google-cloud-storage"]
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
importers = ["filelock", "mlflow", "polars", "rich", "tenacity"]
Added poetry setup
2024-02-29 02:11:29 +08:00
kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
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
launch = ["PyYAML (>=6.0.0)", "awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "tomli", "typing-extensions"]
Added poetry setup
2024-02-29 02:11:29 +08:00
media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
models = ["cloudpickle"]
perf = ["orjson"]
reports = ["pydantic (>=2.0.0)"]
sweeps = ["sweeps (>=0.2.0)"]
ready for review
2024-03-21 18:18:50 +08:00
[[package]]
name = "werkzeug"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
version = "3.0.3"
ready for review
2024-03-21 18:18:50 +08:00
description = "The comprehensive WSGI web application library."
optional = false
python-versions = ">=3.8"
files = [
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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ready for review
2024-03-21 18:18:50 +08:00
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[package.dependencies]
MarkupSafe = ">=2.1.1"
[package.extras]
watchdog = ["watchdog (>=2.3)"]
For Pusht: use hf datasets to train, rename load_data_with_delta_timestamps -> load_previous_and_future_frames
2024-04-15 18:08:10 +08:00
[[package]]
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[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
Added poetry setup
2024-02-29 02:11:29 +08:00
[[package]]
name = "zarr"
Eval reproduction works with gym_aloha
2024-04-08 17:23:26 +08:00
version = "2.17.2"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "An implementation of chunked, compressed, N-dimensional arrays for Python"
optional = false
python-versions = ">=3.9"
files = [
Eval reproduction works with gym_aloha
2024-04-08 17:23:26 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.dependencies]
asciitree = "*"
fasteners = {version = "*", markers = "sys_platform != \"emscripten\""}
numcodecs = ">=0.10.0"
Eval reproduction works with gym_aloha
2024-04-08 17:23:26 +08:00
numpy = ">=1.23"
Added poetry setup
2024-02-29 02:11:29 +08:00
[package.extras]
docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-automodapi", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
[[package]]
name = "zipp"
Merge remote-tracking branch 'origin/main' into user/alexander-soare/multistep_policy_and_serial_env
2024-03-15 21:05:35 +08:00
version = "3.18.1"
Added poetry setup
2024-02-29 02:11:29 +08:00
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
Merge remote-tracking branch 'origin/main' into user/alexander-soare/multistep_policy_and_serial_env
2024-03-15 21:05:35 +08:00
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Added poetry setup
2024-02-29 02:11:29 +08:00
]
[package.extras]
Merge remote-tracking branch 'origin/main' into user/alexander-soare/multistep_policy_and_serial_env
2024-03-15 21:05:35 +08:00
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
Added poetry setup
2024-02-29 02:11:29 +08:00
WIP WIP WIP train.py works, loss going down WIP eval.py Fix WIP (eval running, TODO: verify results reproduced) Eval works! (testing reproducibility) WIP pretrained model pusht reproduces same results as torchrl pretrained model pusht reproduces same results as torchrl Remove AbstractPolicy, Move all queues in select_action WIP test_datasets passed (TODO: re-enable NormalizeTransform)
2024-03-31 23:05:25 +08:00
[extras]
Add gym-aloha, rename simxarm -> xarm, refactor
2024-04-08 22:18:53 +08:00
aloha = ["gym-aloha"]
Clean & update pyproject
2024-04-16 18:09:56 +08:00
dev = ["debugpy", "pre-commit"]
Add gym-aloha, rename simxarm -> xarm, refactor
2024-04-08 22:18:53 +08:00
pusht = ["gym-pusht"]
Clean & update pyproject
2024-04-16 18:09:56 +08:00
test = ["pytest", "pytest-cov"]
Add UMI-gripper dataset (#83) Co-authored-by: Remi <re.cadene@gmail.com>
2024-04-29 00:41:07 +08:00
umi = ["imagecodecs"]
Add gym-aloha, rename simxarm -> xarm, refactor
2024-04-08 22:18:53 +08:00
xarm = ["gym-xarm"]
WIP WIP WIP train.py works, loss going down WIP eval.py Fix WIP (eval running, TODO: verify results reproduced) Eval works! (testing reproducibility) WIP pretrained model pusht reproduces same results as torchrl pretrained model pusht reproduces same results as torchrl Remove AbstractPolicy, Move all queues in select_action WIP test_datasets passed (TODO: re-enable NormalizeTransform)
2024-03-31 23:05:25 +08:00
Added poetry setup
2024-02-29 02:11:29 +08:00
[metadata]
lock-version = "2.0"
Add dataset visualization with rerun.io (#131) Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>
2024-05-04 22:07:14 +08:00
python-versions = ">=3.10,<3.13"
Relax version contraints & poetry lock (#139)
2024-05-06 23:38:29 +08:00
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