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AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762) 
* ROCm AMD/GPU based build and detector, WIP

* detectors/rocm: separate yolov8 postprocessing into own function; fix box scaling; use cv2.dnn.blobForImage for preprocessing; assert on required model parameters

* AMD/ROCm: add couple of more ultralytics models; comments

* docker/rocm: make imported model files readable by all

* docker/rocm: readme about running on AMD GPUs

* docker/rocm: updated README

* docker/rocm: updated README

* docker/rocm: updated README

* detectors/rocm: separated preprocessing functions into yolo_utils.py

* detector/plugins: added onnx cpu plugin

* docker/rocm: updated container with limite label sets

* example detectors view

* docker/rocm: updated README.md

* docker/rocm: update README.md

* docker/rocm: do not set HSA_OVERRIDE_GFX_VERSION at all for the general version as the empty value broke rocm

* detectors: simplified/optimized yolov8_postprocess

* detector/yolo_utils: indentation, remove unused variable

* detectors/rocm: default option to conserve cpu usage at the expense of latency

* detectors/yolo_utils: use nms to prefilter overlapping boxes if too many detected

* detectors/edgetpu_tfl: add support for yolov8

* util/download_models: script to download yolov8 model files

* docker/main: add download-models overlay into s6 startup

* detectors/rocm: assume models are in /config/model_cache/yolov8/

* docker/rocm: compile onnx files into mxr files at startup

* switch model download into bash script

* detectors/rocm: automatically override HSA_OVERRIDE_GFX_VERSION for couple of known chipsets

* docs: rocm detector first notes

* typos

* describe builds (harakas temporary)

* docker/rocm: also build a version for gfx1100

* docker/rocm: use cp instead of tar

* docker.rocm: remove README as it is now in detector config

* frigate/detectors: renamed yolov8_preprocess->preprocess, pass input tensor element type

* docker/main: use newer openvino (2023.3.0)

* detectors: implement class aggregation

* update yolov8 model

* add openvino/yolov8 support for label aggregation

* docker: remove pointless s6/timeout-up files

* Revert "detectors: implement class aggregation"

This reverts commit dcfe6bbf6f.

* detectors/openvino: remove class aggregation

* detectors: increase yolov8 postprocessing score trershold to 0.5

* docker/rocm: separate rocm distributed files into its own build stage

* Update object_detectors.md

* updated CODEOWNERS file for rocm

* updated build names for documentation

* Revert "docker/main: use newer openvino (2023.3.0)"

This reverts commit dee95de908.

* reverrted openvino detector

* reverted edgetpu detector

* scratched rocm docs from any mention of edgetpu or openvino

* Update docs/docs/configuration/object_detectors.md

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

* renamed frigate.detectors.yolo_utils.py -> frigate.detectors.util.py

* clarified rocm example performance

* Improved wording and clarified text

* Mentioned rocm detector for AMD GPUs

* applied ruff formating

* applied ruff suggested fixes

* docker/rocm: fix missing argument resulting in larger docker image sizes

* docs/configuration/object_detectors: fix links to yolov8 release files

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
2024-02-10 06:41:46 -06:00
..
docs AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762) 2024-02-10 06:41:46 -06:00
plugins docs: include available objects in documentation 2021-03-09 06:23:37 -06:00
src/css
static Docs updates (#9476) 2024-01-30 06:14:16 -06:00
.gitignore
babel.config.js
docusaurus.config.js Docs improvements (#8641) 2023-11-18 08:04:43 -06:00
package-lock.json Update deps (#8872) 2023-12-07 06:09:20 -06:00
package.json Update deps (#8872) 2023-12-07 06:09:20 -06:00
README.md Update docs link (#6657) 2023-05-31 07:15:01 -05:00
sidebars.js bump go2rtc to 1.8.5 (#9487) 2024-02-06 06:52:20 -06:00

README.md

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