mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-10-15 20:07:23 +02:00
3f05f74ecb
* Initial WIP dockerfile and scripts to add tensorrt support * Add tensorRT detector * WIP attempt to install TensorRT 8.5 * Updates to detector for cuda python library * TensorRT Cuda library rework WIP Does not run * Fixes from rebase to detector factory * Fix parsing output memory pointer * Handle TensorRT logs with the python logger * Use non-async interface and convert input data to float32. Detection runs without error. * Make TensorRT a separate build from the base Frigate image. * Add script and documentation for generating TRT Models * Add support for TensorRT devcontainer * Add labelmap to trt model script and docs. Cleanup of old scripts. * Update detect to normalize input tensor using model input type * Add config for selecting GPU. Fix Async inference. Update documentation. * Update some CUDA libraries to clean up version warning * Add CI stage to build TensorRT tag * Add note in docs for image tag and model support
40 lines
1.2 KiB
YAML
40 lines
1.2 KiB
YAML
version: "3"
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services:
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devcontainer:
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container_name: frigate-devcontainer
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# add groups from host for render, plugdev, video
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group_add:
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- "109" # render
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- "110" # render
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- "44" # video
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- "46" # plugdev
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shm_size: "256mb"
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build:
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context: .
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# Use target devcontainer-trt for TensorRT dev
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target: devcontainer
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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devices:
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- /dev/bus/usb:/dev/bus/usb
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# - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
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volumes:
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- .:/workspace/frigate:cached
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- ./web/dist:/opt/frigate/web:cached
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- /etc/localtime:/etc/localtime:ro
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- ./config/config.yml:/config/config.yml:ro
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- ./debug:/media/frigate
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# Create the trt-models folder using the documented method of generating TRT models
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# - ./debug/trt-models:/trt-models
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- /dev/bus/usb:/dev/bus/usb
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mqtt:
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container_name: mqtt
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image: eclipse-mosquitto:1.6
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ports:
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- "1883:1883"
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