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Add estimate_speed(region_color) parameter #8285

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merged 7 commits into from
Feb 20, 2024

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hi-sushanta
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@hi-sushanta hi-sushanta commented Feb 19, 2024

🌞Summary:

Simple parameter to change the colour of the origin.

🗝️Key Changes

Enable to set colour for specific situations.

🎯Purpose & Impact

  • Like everyone to change the origin colour when he or she builds an estimated speed project.
  • And it's more flexible for the old one.

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Enhancements to speed estimation visualizations in Ultralytics solutions.

📊 Key Changes

  • Added region_color parameter to the estimate_speed function to customize the color of the drawn regions.
  • Adjusted internal use of the region color within the estimate_speed method to apply the new region_color parameter instead of a hardcoded value.

🎯 Purpose & Impact

  • 🎨 Allows users to adjust the visual appeal of their analytics by changing the region color when performing speed estimation on video or image data.
  • 🛠 Increases flexibility in the presentation layer of speed estimation, which could be beneficial for users needing to differentiate between various annotated regions or adhering to brand guidelines.

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CLA Assistant Lite bot All Contributors have signed the CLA. ✅

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👋 Hello @hi-sushanta, thank you for submitting an Ultralytics YOLOv8 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

  • ✅ Verify your PR is up-to-date with ultralytics/ultralytics main branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running git pull and git merge main locally.
  • ✅ Verify all YOLOv8 Continuous Integration (CI) checks are passing.
  • ✅ Update YOLOv8 Docs for any new or updated features.
  • ✅ Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." — Bruce Lee

See our Contributing Guide for details and let us know if you have any questions!

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codecov bot commented Feb 19, 2024

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (5171d66) 72.71% compared to head (15585cf) 75.75%.

❗ Current head 15585cf differs from pull request most recent head 4bfa8ba. Consider uploading reports for the commit 4bfa8ba to get more accurate results

Files Patch % Lines
ultralytics/solutions/speed_estimation.py 0.00% 2 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #8285      +/-   ##
==========================================
+ Coverage   72.71%   75.75%   +3.03%     
==========================================
  Files         117      117              
  Lines       14673    14672       -1     
==========================================
+ Hits        10670    11115     +445     
+ Misses       4003     3557     -446     
Flag Coverage Δ
Benchmarks 36.27% <0.00%> (+0.24%) ⬆️
GPU 39.04% <0.00%> (?)
Tests 70.86% <0.00%> (+0.70%) ⬆️

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@hi-sushanta thanks for the PR! The addition of a colors parameter to customize the origin color is a great touch for personalization and clarity in speed estimation projects. It's always nice to see features that enhance user experience and flexibility. 👍 If anyone needs an example of how to use the new parameter, feel free to ask! 🎨🚀

@hi-sushanta
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@hi-sushanta thanks for the PR! The addition of a colors parameter to customize the origin color is a great touch for personalization and clarity in speed estimation projects. It's always nice to see features that enhance user experience and flexibility. 👍 If anyone needs an example of how to use the new parameter, feel free to ask! 🎨🚀

Yes Of course.

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@hi-sushanta please write a new comment with this to accept the CLA so we can merge your contribution:

I have read the CLA Document and I sign the CLA

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I have read the CLA Document and I sign the CLA

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@hi-sushanta PR merged, thank you for your contributions!

@glenn-jocher glenn-jocher changed the title I add one extra parameter for color changes into the origin Add region_color parameter Feb 20, 2024
@glenn-jocher glenn-jocher changed the title Add region_color parameter Add estimate_speed(region_color) parameter Feb 20, 2024
@glenn-jocher glenn-jocher merged commit a5605b5 into ultralytics:main Feb 20, 2024
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@hi-sushanta
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You're welcome🫡

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@hi-sushanta thank you for the kind words! If you have any more questions or need assistance, just let us know. Happy coding! 😊🚀

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* Add https://youtu.be/OpWpBI35A5Y to inference-api Docs (ultralytics#8717)

* OpenVino 2024.0.0 (ultralytics#8726)

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* Fix tfjs exports for ARM64 Dockerfile (ultralytics#8766)

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* Modify tuner best.pt logic to train first (ultralytics#8792)

* Update CI.md with CI links (ultralytics#8786)

* Add https://youtu.be/ZzUSXQkLbNw to Integration Docs (ultralytics#8793)

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* `ultralytics 8.1.25` fix `**kwargs: (dict)` warnings (ultralytics#8815)

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* Add docs guide terminal images (ultralytics#8819)

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* `RTDETRDetectionModel` TorchScript, ONNX Predict and Val support (ultralytics#8818)

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* New `MLFLOW_KEEP_RUN_ACTIVE` flag for enhanced MLflow run management (ultralytics#8808)

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* `ultralytics 8.1.26` `LoadImagesAndVideos` batched inference (ultralytics#8817)

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* Update `fraction` arg to employ a random selection (ultralytics#8234)

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* Batch inference fixes (ultralytics#8854)

* Integrate OpenVINO `CUMULATIVE_THROUGHPUT` mode batched inference (ultralytics#8834)

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* Add PaddlePaddle Docs Integrations Page (ultralytics#8858)

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* `ultralytics 8.1.27` batched tracking fixes (ultralytics#8842)

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* Faster batch `same_shapes` (ultralytics#8851)

* More robust PNNX downloads (ultralytics#8866)

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

* Add polygon regions drawing support in `object-counting.md` and minor docs update (ultralytics#8885)

* Add TFLite Edge TPU Docs Integrations Page  (ultralytics#8900)

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* Update Docs README (ultralytics#8919)

* Fix `names` bug when exporting YOLOv8-World to ONNX (ultralytics#8941)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

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* Optimize TFJS export on ARM64 (ultralytics#8946)

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* Auto-format by https://ultralytics.com/actions

* `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)

* `ultralytics 8.1.29` improved disk space checking on correct path (ultralytics#8977)

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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)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* 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)

* Add TF GraphDef Docs Integrations Page (ultralytics#9203)

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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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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* 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)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Add `bgr` hyperparameter (ultralytics#9139)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

* `ultralytics 8.1.33` fix HUB model checks (ultralytics#9153)

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Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* 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)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Simplify metrics calculation (ultralytics#9338)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Fix typo in example readme (ultralytics#9306)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

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gkinman pushed a commit to Octasic/ultralytics that referenced this pull request May 30, 2024
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puzhiyuan pushed a commit to puzhiyuan/ultralytics that referenced this pull request Oct 18, 2024
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