Merge remote-tracking branch 'origin/main' into user/aliberts/2025_02_25_refactor_robots
This commit is contained in:
@@ -24,7 +24,7 @@ Designed by Physical Intelligence. Ported from Jax by Hugging Face.
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Install pi0 extra dependencies:
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```bash
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pip install --no-binary=av -e ".[pi0]"
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pip install -e ".[pi0]"
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```
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Example of finetuning the pi0 pretrained model (`pi0_base` in `openpi`):
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@@ -67,9 +67,15 @@ conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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#### 5. Install LeRobot with dependencies for the feetech motors:
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#### 5. Install ffmpeg in your environment:
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When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
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conda install ffmpeg -c conda-forge
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```
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#### 6. Install LeRobot with dependencies for the feetech motors:
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```bash
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cd ~/lerobot && pip install -e ".[feetech]"
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```
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## C. Install LeRobot on laptop
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@@ -108,9 +114,15 @@ conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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#### 5. Install LeRobot with dependencies for the feetech motors:
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#### 5. Install ffmpeg in your environment:
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When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
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conda install ffmpeg -c conda-forge
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```
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#### 6. Install LeRobot with dependencies for the feetech motors:
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```bash
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cd ~/lerobot && pip install -e ".[feetech]"
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```
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Great :hugs:! You are now done installing LeRobot and we can begin assembling the SO100 arms and Mobile base :robot:.
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@@ -412,6 +424,8 @@ python lerobot/scripts/control_robot.py \
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--control.fps=30
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```
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> **NOTE:** To visualize the data, enable `--control.display_data=true`. This streams the data using `rerun`. For the `--control.type=remote_robot` you will also need to set `--control.viewer_ip` and `--control.viewer_port`
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You should see on your laptop something like this: ```[INFO] Connected to remote robot at tcp://172.17.133.91:5555 and video stream at tcp://172.17.133.91:5556.``` Now you can move the leader arm and use the keyboard (w,a,s,d) to drive forward, left, backwards, right. And use (z,x) to turn left or turn right. You can use (r,f) to increase and decrease the speed of the mobile robot. There are three speed modes, see the table below:
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| Speed Mode | Linear Speed (m/s) | Rotation Speed (deg/s) |
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| ---------- | ------------------ | ---------------------- |
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@@ -31,9 +31,15 @@ conda create -y -n lerobot python=3.10 && conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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5. Install LeRobot with dependencies for the feetech motors:
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5. Install ffmpeg in your environment:
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When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
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conda install ffmpeg -c conda-forge
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```
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6. Install LeRobot with dependencies for the feetech motors:
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```bash
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cd ~/lerobot && pip install -e ".[feetech]"
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```
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## Configure the motors
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@@ -212,6 +218,9 @@ python lerobot/scripts/control_robot.py \
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**Teleop with displaying cameras**
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Follow [this guide to setup your cameras](https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md#c-add-your-cameras-with-opencvcamera). Then you will be able to display the cameras on your computer while you are teleoperating by running the following code. This is useful to prepare your setup before recording your first dataset.
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> **NOTE:** To visualize the data, enable `--control.display_data=true`. This streams the data using `rerun`.
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```bash
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python lerobot/scripts/control_robot.py \
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--robot.type=moss \
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@@ -57,9 +57,15 @@ conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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#### 5. Install LeRobot with dependencies for the feetech motors:
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#### 5. Install ffmpeg in your environment:
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When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[feetech]"
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conda install ffmpeg -c conda-forge
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```
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#### 6. Install LeRobot with dependencies for the feetech motors:
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```bash
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cd ~/lerobot && pip install -e ".[feetech]"
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```
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Great :hugs:! You are now done installing LeRobot and we can begin assembling the SO100 arms :robot:.
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@@ -491,6 +497,9 @@ python lerobot/scripts/control_robot.py \
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#### a. Teleop with displaying cameras
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Follow [this guide to setup your cameras](https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md#c-add-your-cameras-with-opencvcamera). Then you will be able to display the cameras on your computer while you are teleoperating by running the following code. This is useful to prepare your setup before recording your first dataset.
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> **NOTE:** To visualize the data, enable `--control.display_data=true`. This streams the data using `rerun`.
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```bash
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python lerobot/scripts/control_robot.py \
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--robot.type=so100 \
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@@ -43,14 +43,19 @@ conda create -y -n lerobot python=3.10 && conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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6. Install LeRobot with stretch dependencies:
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6. When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[stretch]"
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conda install ffmpeg -c conda-forge
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```
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7. Install LeRobot with stretch dependencies:
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```bash
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cd ~/lerobot && pip install -e ".[stretch]"
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```
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> **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.`
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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:
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8. 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:
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```bash
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stretch_system_check.py
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```
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@@ -97,6 +102,8 @@ This is equivalent to running `stretch_robot_home.py`
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Before trying teleoperation, you need activate the gamepad controller by pressing the middle button. For more info, see Stretch's [doc](https://docs.hello-robot.com/0.3/getting_started/hello_robot/#gamepad-teleoperation).
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Now try out teleoperation (see above documentation to learn about the gamepad controls):
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> **NOTE:** To visualize the data, enable `--control.display_data=true`. This streams the data using `rerun`.
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```bash
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python lerobot/scripts/control_robot.py \
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--robot.type=stretch \
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@@ -30,9 +30,14 @@ conda create -y -n lerobot python=3.10 && conda activate lerobot
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git clone https://github.com/huggingface/lerobot.git ~/lerobot
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```
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5. Install LeRobot with dependencies for the Aloha motors (dynamixel) and cameras (intelrealsense):
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5. When using `miniconda`, install `ffmpeg` in your environment:
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```bash
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cd ~/lerobot && pip install --no-binary=av -e ".[dynamixel, intelrealsense]"
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conda install ffmpeg -c conda-forge
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```
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6. Install LeRobot with dependencies for the Aloha motors (dynamixel) and cameras (intelrealsense):
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```bash
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cd ~/lerobot && pip install -e ".[dynamixel, intelrealsense]"
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```
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## Teleoperate
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@@ -43,6 +48,9 @@ Teleoperation consists in manually operating the leader arms to move the followe
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2. Our code assumes that your robot has been assembled following Trossen Robotics instructions. This allows us to skip calibration, as we use the pre-defined calibration files in `.cache/calibration/aloha_default`. If you replace a motor, make sure you follow the exact instructions from Trossen Robotics.
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By running the following code, you can start your first **SAFE** teleoperation:
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> **NOTE:** To visualize the data, enable `--control.display_data=true`. This streams the data using `rerun`.
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```bash
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python lerobot/scripts/control_robot.py \
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--robot.type=aloha \
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@@ -24,7 +24,7 @@ from contextlib import nullcontext
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from copy import copy
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from functools import cache
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import cv2
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import rerun as rr
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import torch
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from deepdiff import DeepDiff
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from termcolor import colored
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@@ -174,13 +174,13 @@ def warmup_record(
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events,
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enable_teleoperation,
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warmup_time_s,
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display_cameras,
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display_data,
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fps,
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):
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control_loop(
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robot=robot,
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control_time_s=warmup_time_s,
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display_cameras=display_cameras,
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display_data=display_data,
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events=events,
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fps=fps,
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teleoperate=enable_teleoperation,
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@@ -192,7 +192,7 @@ def record_episode(
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dataset,
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events,
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episode_time_s,
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display_cameras,
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display_data,
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policy,
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fps,
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single_task,
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@@ -200,7 +200,7 @@ def record_episode(
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control_loop(
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robot=robot,
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control_time_s=episode_time_s,
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display_cameras=display_cameras,
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display_data=display_data,
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dataset=dataset,
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events=events,
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policy=policy,
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@@ -215,7 +215,7 @@ def control_loop(
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robot,
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control_time_s=None,
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teleoperate=False,
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display_cameras=False,
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display_data=False,
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dataset: LeRobotDataset | None = None,
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events=None,
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policy: PreTrainedPolicy = None,
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@@ -264,11 +264,15 @@ def control_loop(
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frame = {**observation, **action, "task": single_task}
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dataset.add_frame(frame)
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if display_cameras and not is_headless():
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# TODO(Steven): This should be more general (for RemoteRobot instead of checking the name, but anyways it will change soon)
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if (display_data and not is_headless()) or (display_data and robot.robot_type.startswith("lekiwi")):
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for k, v in action.items():
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for i, vv in enumerate(v):
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rr.log(f"sent_{k}_{i}", rr.Scalar(vv.numpy()))
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image_keys = [key for key in observation if "image" in key]
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for key in image_keys:
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cv2.imshow(key, cv2.cvtColor(observation[key].numpy(), cv2.COLOR_RGB2BGR))
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cv2.waitKey(1)
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rr.log(key, rr.Image(observation[key].numpy()), static=True)
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if fps is not None:
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dt_s = time.perf_counter() - start_loop_t
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@@ -297,15 +301,11 @@ def reset_environment(robot, events, reset_time_s, fps):
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)
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def stop_recording(robot, listener, display_cameras):
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def stop_recording(robot, listener, display_data):
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robot.disconnect()
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if not is_headless():
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if listener is not None:
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listener.stop()
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if display_cameras:
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cv2.destroyAllWindows()
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if not is_headless() and listener is not None:
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listener.stop()
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def sanity_check_dataset_name(repo_id, policy_cfg):
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