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Hoang Bui
5e0aff92ae
* working * multiprocessing * fix that * print services * all services + fix * less verbose * start readme * segment range * cleanup * update readme + fix bug in 'all' * cleanup + update readme * update readme * cleanup * cleanup * rm frame_iter * cleanup * staticmethod * proc kill * split files * fix range with hevc vids * update reamde + add prompt * readme * readme * readme
58 lines
2.6 KiB
Markdown
58 lines
2.6 KiB
Markdown
# Rerun
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Rerun is a tool to quickly visualize time series data. It supports all openpilot logs , both the `logMessages` and video logs.
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[Instructions](https://rerun.io/docs/reference/viewer/overview) for navigation within the Rerun Viewer.
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## Usage
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```
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usage: run.py [-h] [--demo] [--qcam] [--fcam] [--ecam] [--dcam] [--print_services] [--services [SERVICES ...]] [route_or_segment_name]
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A helper to run rerun on openpilot routes
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options:
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-h, --help show this help message and exit
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--demo Use the demo route instead of providing one (default: False)
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--qcam Log decimated driving camera (default: False)
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--fcam Log driving camera (default: False)
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--ecam Log wide camera (default: False)
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--dcam Log driver monitoring camera (default: False)
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--print_services List out openpilot services (default: False)
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--services [SERVICES ...] Specify openpilot services that will be logged. No service will be logged if not specified.
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To log all services include 'all' as one of your services (default: [])
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--route [ROUTE] The route or segment name to plot (default: None)
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```
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Examples using route name to observe accelerometer and qcamera:
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`./run.py --services accelerometer --qcam --route "a2a0ccea32023010/2023-07-27--13-01-19"`
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Examples using segment range (more on [SegmentRange](https://github.com/commaai/openpilot/tree/master/tools/lib)):
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`./run.py --qcam --route "a2a0ccea32023010/2023-07-27--13-01-19/2:4"`
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## Cautions:
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- You can specify `--services all` to visualize all `logMessage`, but it will draw a lot of memory usage and take a long time to log all messages. Rerun isn't ready for logging big number of data.
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- Logging hevc videos (`--fcam`, `--ecam`, and `--dcam`) are expensive, and it's recommended to use `--qcam` for optimized performance. If possible, limiting your route to a few segments using `SegmentRange` will speed up logging and reduce memory usage
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This example draws 13GB of memory:
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`./run.py --services accelerometer --qcam --route "a2a0ccea32023010/2023-07-27--13-01-19"`
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## Openpilot services
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To list all openpilot services:
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`./run.py --print_services`
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Examples including openpilot services:
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`./run.py --services accelerometer cameraodometry --route "a2a0ccea32023010/2023-07-27--13-01-19/0/q"`
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Examples including all services:
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`./run.py --services all --route "a2a0ccea32023010/2023-07-27--13-01-19/0/q"`
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## Demo
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`./run.py --services accelerometer carcontrol caroutput --qcam --demo`
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