Merge remote-tracking branch 'upstream/main' into finish_examples

This commit is contained in:
Alexander Soare
2024-04-01 11:31:31 +01:00
8 changed files with 406 additions and 43 deletions

View File

@@ -8,9 +8,25 @@
<br/>
</p>
# LeRobot
<div align="center">
[![Tests](https://github.com/huggingface/lerobot/actions/workflows/test.yml/badge.svg?branch=main)](https://github.com/huggingface/lerobot/actions/workflows/test.yml?query=branch%3Amain)
[![Coverage](https://codecov.io/gh/huggingface/lerobot/branch/main/graph/badge.svg?token=TODO)](https://codecov.io/gh/huggingface/lerobot)
[![Python versions](https://img.shields.io/pypi/pyversions/lerobot)](https://www.python.org/downloads/)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/huggingface/lerobot/blob/main/LICENSE)
[![Status](https://img.shields.io/pypi/status/lerobot)](https://pypi.org/project/lerobot/)
[![Version](https://img.shields.io/pypi/v/lerobot)](https://pypi.org/project/lerobot/)
[![Examples](https://img.shields.io/badge/Examples-green.svg)](https://github.com/huggingface/lerobot/tree/main/examples)
[![Discord](https://dcbadge.vercel.app/api/server/C5P34WJ68S?style=flat)](https://discord.gg/s3KuuzsPFb)
</div>
<h3 align="center">
<p>State-of-the-art Machine Learning for real-world robotics</p>
</h3>
---
**State-of-the-art machine learning for real-world robotics**
🤗 LeRobot aims to provide models, datasets, and tools for real-world robotics in PyTorch. The goal is to lower the barrier for entry to robotics so that everyone can contribute and benefit from sharing datasets and pretrained models.
@@ -44,26 +60,21 @@
## Installation
Create a virtual environment with Python 3.10, e.g. using `conda`:
Download our source code:
```bash
git clone https://github.com/huggingface/lerobot.git
cd lerobot
```
Create a virtual environment with Python 3.10 and activate it, e.g. with [`miniconda`](https://docs.anaconda.com/free/miniconda/index.html):
```bash
conda create -y -n lerobot python=3.10
conda activate lerobot
```
[Install `poetry`](https://python-poetry.org/docs/#installation) (if you don't have it already)
Then, install 🤗 LeRobot:
```bash
curl -sSL https://install.python-poetry.org | python -
```
Install dependencies
```bash
poetry install
```
If you encounter a disk space error, try to change your tmp dir to a location where you have enough disk space, e.g.
```bash
mkdir ~/tmp
export TMPDIR='~/tmp'
python -m pip install .
```
To use [Weights and Biases](https://docs.wandb.ai/quickstart) for experiments tracking, log in with
@@ -174,11 +185,11 @@ hydra.run.dir=outputs/train/aloha_act
Feel free to open issues and PRs, and to coordinate your efforts with the community on our [Discord Channel](https://discord.gg/VjFz58wn3R). For specific inquiries, reach out to [Remi Cadene](remi.cadene@huggingface.co).
**TODO**
### TODO
If you are not sure how to contribute or want to know the next features we working on, look on this project page: [LeRobot TODO](https://github.com/orgs/huggingface/projects/46)
**Follow our style**
### Follow our style
```bash
# install if needed
@@ -187,25 +198,33 @@ pre-commit install
pre-commit
```
**Add dependencies**
### Add dependencies
Instead of `pip install some-package`, we use `poetry` to track the versions of our dependencies:
Instead of using `pip` directly, we use `poetry` for development purposes to easily track our dependencies.
If you don't have it already, follow the [instructions](https://python-poetry.org/docs/#installation) to install it.
Install the project with:
```bash
poetry install
```
Then, the equivalent of `pip install some-package`, would just be:
```bash
poetry add some-package
```
**NOTE:** Currently, to ensure the CI works properly, any new package must also be added in the CPU-only environment dedicated CI. To do this, you should create a separate environment and add the new package there as well. For example:
**NOTE:** Currently, to ensure the CI works properly, any new package must also be added in the CPU-only environment dedicated to the CI. To do this, you should create a separate environment and add the new package there as well. For example:
```bash
# add the new package to your main poetry env
# Add the new package to your main poetry env
poetry add some-package
# add the same package to the CPU-only env dedicated to CI
# Add the same package to the CPU-only env dedicated to CI
conda create -y -n lerobot-ci python=3.10
conda activate lerobot-ci
cd .github/poetry/cpu
poetry add some-package
```
**Run tests locally**
### Run tests locally
Install [git lfs](https://git-lfs.com/) to retrieve test artifacts (if you don't have it already).
@@ -236,7 +255,7 @@ Run tests
DATA_DIR="tests/data" pytest -sx tests
```
**Add a new dataset**
### Add a new dataset
To add a dataset to the hub, first login and use a token generated from [huggingface settings](https://huggingface.co/settings/tokens) with write access:
```bash
@@ -297,7 +316,7 @@ Finally, you might want to mock the dataset if you need to update the unit tests
python tests/scripts/mock_dataset.py --in-data-dir data/$DATASET --out-data-dir tests/data/$DATASET
```
**Add a pretrained policy**
### Add a pretrained policy
Once you have trained a policy you may upload it to the HuggingFace hub.
@@ -333,7 +352,7 @@ huggingface-cli upload $HUB_ID to_upload
See `eval.py` for an example of how a user may use your policy.
**Improve your code with profiling**
### Improve your code with profiling
An example of a code snippet to profile the evaluation of a policy:
```python