Merge branch 'main' into user/mshukor/2025_03_24_pi0fast

README.md

@@ -98,14 +98,18 @@ conda create -y -n lerobot python=3.10
 conda activate lerobot
 ```
 
-Install 🤗 LeRobot:
+When using `miniconda`, if you don't have `ffmpeg` in your environment:
 ```bash
-pip install -e .
+conda install ffmpeg
 ```
 
-> **NOTE:** Depending on your platform, If you encounter any build errors during this step
-you may need to install `cmake` and `build-essential` for building some of our dependencies.
-On linux: `sudo apt-get install cmake build-essential`
+Install 🤗 LeRobot:
+```bash
+pip install --no-binary=av -e .
+```
+
+> **NOTE:** If you encounter build errors, you may need to install additional dependencies (`cmake`, `build-essential`, and `ffmpeg libs`). On Linux, run:
+`sudo apt-get install cmake build-essential python-dev pkg-config libavformat-dev libavcodec-dev libavdevice-dev libavutil-dev libswscale-dev libswresample-dev libavfilter-dev pkg-config`. For other systems, see: [Compiling PyAV](https://pyav.org/docs/develop/overview/installation.html#bring-your-own-ffmpeg)
 
 For simulations, 🤗 LeRobot comes with gymnasium environments that can be installed as extras:
 - [aloha](https://github.com/huggingface/gym-aloha)
@@ -114,7 +118,7 @@ For simulations, 🤗 LeRobot comes with gymnasium environments that can be inst
 
 For instance, to install 🤗 LeRobot with aloha and pusht, use:
 ```bash
-pip install -e ".[aloha, pusht]"
+pip install --no-binary=av -e ".[aloha, pusht]"
 ```
 
 To use [Weights and Biases](https://docs.wandb.ai/quickstart) for experiment tracking, log in with

examples/10_use_so100.md

@@ -59,15 +59,9 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 #### 5. Install LeRobot with dependencies for the feetech motors:
 ```bash
-cd ~/lerobot && pip install -e ".[feetech]"
+cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
 ```
 
-*EXTRA: For Linux only (not Mac)*: install extra dependencies for recording datasets:
-```bash
-conda install -y -c conda-forge ffmpeg
-pip uninstall -y opencv-python
-conda install -y -c conda-forge "opencv>=4.10.0"
-```
 Great :hugs:! You are now done installing LeRobot and we can begin assembling the SO100 arms :robot:.
 Every time you now want to use LeRobot you can go to the `~/lerobot` folder where we installed LeRobot and run one of the commands.
 

examples/11_use_lekiwi.md

@@ -69,7 +69,7 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 #### 5. Install LeRobot with dependencies for the feetech motors:
 ```bash
-cd ~/lerobot && pip install -e ".[feetech]"
+cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
 ```
 
 ## C. Install LeRobot on laptop
@@ -110,15 +110,9 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 #### 5. Install LeRobot with dependencies for the feetech motors:
 ```bash
-cd ~/lerobot && pip install -e ".[feetech]"
+cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
 ```
 
-*EXTRA: For Linux only (not Mac)*: install extra dependencies for recording datasets:
-```bash
-conda install -y -c conda-forge ffmpeg
-pip uninstall -y opencv-python
-conda install -y -c conda-forge "opencv>=4.10.0"
-```
 Great :hugs:! You are now done installing LeRobot and we can begin assembling the SO100 arms and Mobile base :robot:.
 Every time you now want to use LeRobot you can go to the `~/lerobot` folder where we installed LeRobot and run one of the commands.
 
@@ -399,6 +393,10 @@ python lerobot/scripts/control_robot.py \
 ```
 
 # F. Teleoperate
+
+> [!TIP]
+> If you're using a Mac, you might need to give Terminal permission to access your keyboard. Go to System Preferences > Security & Privacy > Input Monitoring and check the box for Terminal.
+
 To teleoperate SSH into your Raspberry Pi, and run `conda activate lerobot` and this script:
 ```bash
 python lerobot/scripts/control_robot.py \

examples/11_use_moss.md

@@ -33,14 +33,7 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 5. Install LeRobot with dependencies for the feetech motors:
 ```bash
-cd ~/lerobot && pip install -e ".[feetech]"
-```
-
-For Linux only (not Mac), install extra dependencies for recording datasets:
-```bash
-conda install -y -c conda-forge ffmpeg
-pip uninstall -y opencv-python
-conda install -y -c conda-forge "opencv>=4.10.0"
+cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
 ```
 
 ## Configure the motors

examples/2_evaluate_pretrained_policy.py

@@ -18,7 +18,7 @@ training outputs directory. In the latter case, you might want to run examples/3
 
 It requires the installation of the 'gym_pusht' simulation environment. Install it by running:
 ```bash
-pip install -e ".[pusht]"`
+pip install --no-binary=av -e ".[pusht]"`
 ```
 """
 

examples/7_get_started_with_real_robot.md

@@ -33,7 +33,7 @@ First, install the additional dependencies required for robots built with dynami
 
 Using `pip`:
 ```bash
-pip install -e ".[dynamixel]"
+pip install --no-binary=av -e ".[dynamixel]"
 ```
 
 Using `poetry`:
@@ -46,13 +46,6 @@ Using `uv`:
 uv sync --extra "dynamixel"
 ```
 
-/!\ For Linux only, ffmpeg and opencv requires conda install for now. Run this exact sequence of commands:
-```bash
-conda install -c conda-forge ffmpeg
-pip uninstall opencv-python
-conda install -c conda-forge "opencv>=4.10.0"
-```
-
 You are now ready to plug the 5V power supply to the motor bus of the leader arm (the smaller one) since all its motors only require 5V.
 
 Then plug the 12V power supply to the motor bus of the follower arm. It has two motors that need 12V, and the rest will be powered with 5V through the voltage convertor.
@@ -834,11 +827,6 @@ It contains:
 - `dtRphone:33.84 (29.5hz)` which is the delta time of capturing an image from the phone camera in the thread running asynchronously.
 
 Troubleshooting:
-- On Linux, if you encounter a hanging issue when using cameras, uninstall opencv and re-install it with conda:
-```bash
-pip uninstall opencv-python
-conda install -c conda-forge opencv=4.10.0
-```
 - On Linux, if you encounter any issue during video encoding with `ffmpeg: unknown encoder libsvtav1`, you can:
   - install with conda-forge by running `conda install -c conda-forge ffmpeg` (it should be compiled with `libsvtav1`),
   - or, install [Homebrew](https://brew.sh) and run `brew install ffmpeg` (it should be compiled with `libsvtav1`),

examples/8_use_stretch.md

@@ -45,18 +45,11 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 6. Install LeRobot with stretch dependencies:
 ```bash
-cd ~/lerobot && pip install -e ".[stretch]"
+cd ~/lerobot && pip install --no-binary=av -e ".[stretch]"
 ```
 
 > **Note:** If you get this message, you can ignore it: `ERROR: pip's dependency resolver does not currently take into account all the packages that are installed.`
 
-For Linux only (not Mac), install extra dependencies for recording datasets:
-```bash
-conda install -y -c conda-forge ffmpeg
-pip uninstall -y opencv-python
-conda install -y -c conda-forge "opencv>=4.10.0"
-```
-
 7. Run a [system check](https://docs.hello-robot.com/0.3/getting_started/stretch_hardware_overview/#system-check) to make sure your robot is ready:
 ```bash
 stretch_system_check.py

examples/9_use_aloha.md

@@ -32,14 +32,7 @@ git clone https://github.com/huggingface/lerobot.git ~/lerobot
 
 5. Install LeRobot with dependencies for the Aloha motors (dynamixel) and cameras (intelrealsense):
 ```bash
-cd ~/lerobot && pip install -e ".[dynamixel, intelrealsense]"
-```
-
-For Linux only (not Mac), install extra dependencies for recording datasets:
-```bash
-conda install -y -c conda-forge ffmpeg
-pip uninstall -y opencv-python
-conda install -y -c conda-forge "opencv>=4.10.0"
+cd ~/lerobot && pip install --no-binary=av -e ".[dynamixel, intelrealsense]"
 ```
 
 ## Teleoperate

lerobot/common/datasets/video_utils.py

@@ -257,6 +257,7 @@ def encode_video_frames(
 ) -> None:
     """More info on ffmpeg arguments tuning on `benchmark/video/README.md`"""
     video_path = Path(video_path)
+    imgs_dir = Path(imgs_dir)
     video_path.parent.mkdir(parents=True, exist_ok=True)
 
     ffmpeg_args = OrderedDict(

lerobot/common/policies/pi0/modeling_pi0.py

@@ -24,7 +24,7 @@ Designed by Physical Intelligence. Ported from Jax by Hugging Face.
 
 Install pi0 extra dependencies:
 ```bash
-pip install -e ".[pi0]"
+pip install --no-binary=av -e ".[pi0]"
 ```
 
 Example of finetuning the pi0 pretrained model (`pi0_base` in `openpi`):
@@ -313,7 +313,7 @@ class PI0Policy(PreTrainedPolicy):
         state = self.prepare_state(batch)
         lang_tokens, lang_masks = self.prepare_language(batch)
         actions = self.prepare_action(batch)
-        actions_is_pad = batch.get("actions_is_pad")
+        actions_is_pad = batch.get("action_is_pad")
 
         loss_dict = {}
         losses = self.model.forward(images, img_masks, lang_tokens, lang_masks, state, actions, noise, time)

lerobot/common/utils/wandb_utils.py

@@ -90,6 +90,7 @@ class WandBLogger:
             # TODO(rcadene): split train and eval, and run async eval with job_type="eval"
             job_type="train_eval",
             resume="must" if cfg.resume else None,
+            mode=self.cfg.mode if self.cfg.mode in ["online", "offline", "disabled"] else "online",
         )
         print(colored("Logs will be synced with wandb.", "blue", attrs=["bold"]))
         logging.info(f"Track this run --> {colored(wandb.run.get_url(), 'yellow', attrs=['bold'])}")

lerobot/configs/default.py

@@ -48,6 +48,7 @@ class WandBConfig:
     entity: str | None = None
     notes: str | None = None
     run_id: str | None = None
+    mode: str | None = None  # Allowed values: 'online', 'offline' 'disabled'. Defaults to 'online'
 
 
 @dataclass

pyproject.toml

@@ -62,14 +62,14 @@ dependencies = [
     "omegaconf>=2.3.0",
     "opencv-python>=4.9.0",
     "packaging>=24.2",
-    "av>=12.0.5",
+    "av>=12.0.5,<13.0.0",
     "pymunk>=6.6.0",
     "pynput>=1.7.7",
     "pyzmq>=26.2.1",
     "rerun-sdk>=0.21.0",
     "termcolor>=2.4.0",
     "torch>=2.2.1",
-    "torchcodec>=0.2.1; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l'))",
+    "torchcodec>=0.2.1; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')",
     "torchvision>=0.21.0",
     "wandb>=0.16.3",
     "zarr>=2.17.0",