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Add https://youtu.be/uDrn9QZJ2lk and object_counting.py, ai_gym.py updates #9265

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merged 3 commits into from Mar 24, 2024

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@RizwanMunawar RizwanMunawar commented Mar 24, 2024

@glenn-jocher

πŸ› οΈ PR Summary

Made with ❀️ by Ultralytics Actions

🌟 Summary

Enhanced COCO dataset documentation with video overviews and improved workout monitoring and object tracking in Ultralytics solutions.

πŸ“Š Key Changes

  • Added YouTube video overview links to COCO and COCO8 dataset documentation pages.
  • Updated workout monitoring guide to recommend the use of model.track over model.predict for better workout session analysis.
  • Introduced detailed argument documentation for the model.track method, clarifying options like tracking method, confidence threshold, and class filtering.
  • Adjusted object counting in object_counter.py to use track ID-based colors for better visual distinction of objects.

🎯 Purpose & Impact

  • πŸŽ₯ Video Overviews: Provides a more engaging way to learn about COCO datasets, making it accessible for a broader audience.
  • πŸ‹οΈβ€β™‚οΈ Workout Monitoring: The shift to model.track aims to enhance accuracy in workout pose recognition and tracking, offering users a more reliable analysis of their exercise routines.
  • πŸ“š model.track Documentation: Clear documentation helps developers utilize tracking features more effectively, potentially leading to better application performance where object tracking is crucial.
  • 🌈 Visual Improvements in Tracking: Using track ID colors improves object distinction in tracking applications, enhancing user experience by making object movements easier to follow.

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codecov bot commented Mar 24, 2024

Codecov Report

Attention: Patch coverage is 0% with 1 lines in your changes are missing coverage. Please review.

Project coverage is 77.03%. Comparing base (ec1d110) to head (dae10e2).

Files Patch % Lines
ultralytics/solutions/object_counter.py 0.00% 1 Missing ⚠️
Additional details and impacted files
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##             main    #9265      +/-   ##
==========================================
+ Coverage   76.95%   77.03%   +0.07%     
==========================================
  Files         117      117              
  Lines       14864    14859       -5     
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Flag Coverage Ξ”
Benchmarks 36.77% <0.00%> (+0.06%) ⬆️
GPU 38.84% <0.00%> (+0.01%) ⬆️
Tests 72.10% <0.00%> (+0.02%) ⬆️

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@glenn-jocher
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@RizwanMunawar looks good, thanks for the updates!

@glenn-jocher glenn-jocher changed the title Add https://youtu.be/uDrn9QZJ2lk to docs + tracking base bbox color in object_counting.py + update ai_gym.py Add https://youtu.be/uDrn9QZJ2lk and object_counting.py, ai_gym.py updates Mar 24, 2024
@glenn-jocher glenn-jocher merged commit dcb953b into ultralytics:main Mar 24, 2024
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@RizwanMunawar RizwanMunawar deleted the embed_yt_video branch March 27, 2024 17:37
DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* Integrate OpenVINO `CUMULATIVE_THROUGHPUT` mode batched inference (ultralytics#8834)

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* Faster batch `same_shapes` (ultralytics#8851)

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* Fix `test_mlflow_keep_run_active()` (ultralytics#8868)

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* Update Docs README (ultralytics#8919)

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* New test for labels and crops (ultralytics#8861)

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* Optimize TFJS export on ARM64 (ultralytics#8946)

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* `ultralytics 8.1.28` avoid * ops on bool Tensors for RT-DETR OpenVINO export (ultralytics#8937)

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* Add https://youtu.be/YDXKa1EljmU and https://youtu.be/5BO0Il_YYAg to Docs (ultralytics#8958)

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* Add OpenVINO Latency vs Throughput modes Docs page (ultralytics#9001)

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* Add `brain-tumor` dataset docs page (ultralytics#9041)

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* Fix Neural Magic links (ultralytics#9144)

* Updating a typo on paddlepaddle.md (ultralytics#9108)

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* `ultralytics 8.1.30` add advanced HUB train arguments (ultralytics#9110)

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* fix yolo classify model loading error (ultralytics#9196)

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* `ultralytics 8.1.31` NCNN and CLIP updates (ultralytics#9235)

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* Fix TypeError in check_cfg() (ultralytics#9245)

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* Add https://youtu.be/aeAX6vWpfR0 to docs & `african-wildlife` dataset docs page (ultralytics#9102)

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* Add TF SavedModel Docs Integrations Page (ultralytics#9162)

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* Limit `ray<2.9.3` due to bug in `ray==2.10.0` (ultralytics#9254)

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* `ultralytics 8.1.32` fix CLIP backwards compatibility (ultralytics#9253)

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* Conda cv2 ImportError libEGL.so.1 fix (ultralytics#9255)

* Fix `IS_PYTHON_3_12` bug (ultralytics#9258)

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* Reverse IoU threshold for NMS docs descriptions (ultralytics#9151)

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* Add `bgr` hyperparameter (ultralytics#9139)

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* Update pyproject.toml `[tool.pytest.ini_options]` (ultralytics#9259)

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* Fix OpenVINO missing batch-size bug (ultralytics#9264)

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* Update Discord and Contributing Guide URLs (ultralytics#9270)

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* Add https://youtu.be/uDrn9QZJ2lk and `object_counting.py`, `ai_gym.py` updates (ultralytics#9265)

* `ultralytics 8.1.34` Inference API robust imgsz checks (ultralytics#9274)

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* Bump contributor-assistant/github-action from 2.3.1 to 2.3.2 in /.github/workflows (ultralytics#9279)

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* Add https://youtu.be/u3pLlgzUeV8 to docs (ultralytics#9367)

* Fix typo in YOLOv8-Libtorch-CPP-Inference (ultralytics#9330)

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* Simplify metrics calculation (ultralytics#9338)

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* Fix typo in example readme (ultralytics#9306)

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* Specify YOLODataset task arg during INT8 calibration (ultralytics#9309)

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* `ultralytics 8.1.35` simplify network modules (ultralytics#9321)

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---------

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hmurari pushed a commit to hmurari/ultralytics that referenced this pull request Apr 17, 2024
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