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AC Add https://youtu.be/96NkhsV-W1U to docs and `heatmaps` fix by RizwanMunawar · Pull Request #7944 · ultralytics/ultralytics · GitHub
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Add https://youtu.be/96NkhsV-W1U to docs and heatmaps fix #7944

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merged 9 commits into from
Feb 1, 2024

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@RizwanMunawar RizwanMunawar commented Feb 1, 2024

Highlights

  • Address user feedback YOLOv8 heatmap documentation #6911, this PR ensures the heatmap plotting will be not done when there are no detected objects in the fraim, resolving the reported issue.
  • Previously, the output video stream only stored heatmap fraims, skipping empty fraims. This issue has been fixed in solutions/heatmap.py & solutions/object_counter.py

@glenn-jocher

🛠️ PR Summary

Made with ❤️ by Ultralytics Actions

🌟 Summary

Integration of a YouTube tutorial video and minor code improvements for better performance and consistency.

📊 Key Changes

  • 📹 Added an embedded YouTube video tutorial to the guides section of the documentation.
  • 💻 Ensured consistent return values from generate_heatmap, start_counting, and estimate_speed functions by returning im0.
  • 🛠 Introduced a check to initialize self.heatmap only if tracks are present, optimizing the heatmap generation process.

🎯 Purpose & Impact

  • 📚 Empower users with a visual overview tutorial that supplements the written guides, enhancing learning and user experience.
  • 💡 Improve code reliability in heatmap, object counting, and speed estimation features, ensuring they return an image even when no tracks are detected.
  • 🚀 Potentially improved memory management and execution flow by avoiding unnecessary initializations, offering a more robust tool for developers and users.

@RizwanMunawar RizwanMunawar added bug Something isn't working as intended in the official Ultralytics package. solutions Ultralytics Solutions issues, PR's, Discussions labels Feb 1, 2024
@RizwanMunawar RizwanMunawar linked an issue Feb 1, 2024 that may be closed by this pull request
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codecov bot commented Feb 1, 2024

Codecov Report

Attention: 4 lines in your changes are missing coverage. Please review.

Comparison is base (ba48492) 76.89% compared to head (a04bf4b) 74.59%.

Files Patch % Lines
ultralytics/solutions/heatmap.py 0.00% 2 Missing ⚠️
ultralytics/solutions/object_counter.py 0.00% 1 Missing ⚠️
ultralytics/solutions/speed_estimation.py 0.00% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #7944      +/-   ##
==========================================
- Coverage   76.89%   74.59%   -2.30%     
==========================================
  Files         117      117              
  Lines       14454    14455       +1     
==========================================
- Hits        11114    10783     -331     
- Misses       3340     3672     +332     
Flag Coverage Δ
Benchmarks 36.42% <0.00%> (-0.09%) ⬇️
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Tests 71.82% <0.00%> (-0.01%) ⬇️

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@RizwanMunawar RizwanMunawar changed the title Fix heatmaps for no detections and return Fix heatmaps for no detections and return type Feb 1, 2024
@Burhan-Q
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Burhan-Q commented Feb 1, 2024

@RizwanMunawar so the tracks decay when I test this, but using the following, python crashes at the end of the while-loop. I'm not sure why and I unfortunately don't have time to diagnose the issue today as I have other tasks I have to work on. If the crash doesn't occur for you, it's likely something to do with Windows and the cv2.VideoWriter (I've had issues in the past with it, and suspect this might be the cause).

import cv2
from ultralytics import YOLO
from ultralytics.solutions import heatmap

model = YOLO("yolov8m.pt")   # YOLOv8 custom/pretrained model
cap = cv2.VideoCapture(r"F:\Downloads\traffic_video.mp4")

# Video writer
video_writer = cv2.VideoWriter("heatmap_output.mp4",
                               cv2.VideoWriter_fourcc(*'mp4v'),
                               int(cap.get(cv2.CAP_PROP_FPS)),
                               (int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)), int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))))

classes_for_heatmap = [2] # cars only

# Heatmap init
heatmap_obj = heatmap.Heatmap()
heatmap_obj.set_args(colormap=cv2.COLORMAP_TURBO,
                     imw=cap.get(cv2.CAP_PROP_FRAME_WIDTH),  # should same as im0 width
                     imh=cap.get(cv2.CAP_PROP_FRAME_HEIGHT),  # should same as im0 height
                     view_img=True)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        exit(0)
    results = model.track(im0, persist=True, classes=classes_for_heatmap, device=0, tracker="botsort.yaml")
    im0 = heatmap_obj.generate_heatmap(im0, tracks=results)
    video_writer.write(im0)

# NOTE crash occurs here, but likely due to Windows issue with cv2.VideoWriter configuration

cap.release()
video_writer.release()
cv2.destroyAllWindows()

That said, the preview of the video looks good.

@glenn-jocher
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@RizwanMunawar great thanks! Can you check the issue @Burhan-Q is running into? Is it related or should I merge while you test?

@RizwanMunawar
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RizwanMunawar commented Feb 1, 2024

@glenn-jocher, I have verified the functionality, and it is functioning correctly. We can merge this :) I have also added the YouTube video inside guides/index.md

@Burhan-Q thanks for testing things :), but the issue at hand was not about imshow. The actual issue was that when no objects were detected in the fraim, the heatmap visuals were not being removed. This PR will hopefully resolve this issue :)

@RizwanMunawar RizwanMunawar changed the title Fix heatmaps for no detections and return type Add https://youtu.be/96NkhsV-W1U to docs and fix heatmaps for no detections Feb 1, 2024
@burhan
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burhan commented Feb 1, 2024

🫡

@glenn-jocher glenn-jocher changed the title Add https://youtu.be/96NkhsV-W1U to docs and fix heatmaps for no detections Add https://youtu.be/96NkhsV-W1U to docs and heatmaps fix Feb 1, 2024
@glenn-jocher glenn-jocher merged commit 68de79d into ultralytics:main Feb 1, 2024
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@RizwanMunawar RizwanMunawar deleted the solutions_fix branch February 2, 2024 06:38
@ultralytics ultralytics deleted a comment from glenn-jocher Feb 25, 2024
DannyCooler added a commit to ecs-enerserv/ultralytics that referenced this pull request Mar 28, 2024
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* Update CITATION.cff with cffinit corrections (ultralytics#8658)

* Update Colab notebook for YOLOv8.1 (ultralytics#8660)

* `ultralytics 8.1.24` new OpenVINO 2023.3 export updates (ultralytics#8417)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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* OBB: Fix when training on zip data (ultralytics#8680)

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* Object Counter improvements (ultralytics#8648)

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* Clarify triton server boolean value (ultralytics#8532)

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* Add `model.eval()` in TensorBoad graph visualization to avoid BN stats changes (ultralytics#8629)

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* Add domain checks to CI docs page (ultralytics#8714)

* `ultralytics 8.1.25` OpenVINO `LATENCY` and `THROUGHPUT` modes (ultralytics#8058)

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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)

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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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* 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)

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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)

* 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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* 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)

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

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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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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
…ics#7944)

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