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README.md | 6 years ago | |
accept_terms.py | 6 years ago | |
front_mount_helper.py | 6 years ago | |
warp_vis.py | 6 years ago |
README.md
Run openpilot with webcam on PC/laptop
What's needed:
- Ubuntu 16.04
- Python 3.7.3
- GPU (recommended)
- Two USB webcams, at least 720p and 78 degrees FOV (e.g. Logitech C920/C615)
- Car harness w/ black panda (or the outdated grey panda/giraffe combo) to connect to your car
- Panda paw (or USB-A to USB-A cable) to connect panda to your computer
- Tape, Charger, ...
That's it!
Clone openpilot and install the requirements
cd ~
git clone https://github.com/commaai/openpilot.git
# Follow [this readme](https://github.com/commaai/openpilot/tree/master/tools) to install the requirements
# Add line "export PYTHONPATH=$HOME/openpilot" to your ~/.bashrc
# You also need to install tensorflow-gpu 2.0.0 and nvidia drivers: nvidia-xxx/cuda10.0/cudnn7.6.5
# Install [OpenCL Driver](https://www.codeproject.com/Articles/1230011/OpenCL-Drivers-and-Runtimes-for-Intel-Architectu)
# (Note: the code assumes cl platforms order to be 0.GPU/1.CPU when running clinfo; if reverse, change the -1 to -2 in selfdrive/modeld/modeld.cc#L130; helping us refactor this mess is encouraged)
# Install [OpenCV4](https://www.pyimagesearch.com/2018/08/15/how-to-install-opencv-4-on-ubuntu/)
Build openpilot for webcam
cd ~/openpilot
# check out selfdrive/camerad/cameras/camera_webcam.cc line72&146 if any camera is upside down
scons use_webcam=1
touch prebuilt
Connect the hardwares
# Connect the road facing camera first, then the driver facing camera
# (default indexes are 1 and 2; can be modified in selfdrive/camerad/cameras/camera_webcam.cc)
# Connect your computer to panda
GO
cd ~/openpilot/tools/webcam
./accept_terms.py # accept the user terms so that thermald can detect the car started
cd ~/openpilot/selfdrive
PASSIVE=0 NOSENSOR=1 WEBCAM=1 ./manager.py
# Start the car, then the UI should show the road webcam's view
# Adjust and secure the webcams (you can run tools/webcam/front_mount_helper.py to help mount the driver camera)
# Finish calibration and engage!