👋 Hello @sana1988, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@sana1988 I think you are confusing scope. YOLOv5 is an AI object detector. Post processing the results to your custom requirements is up to you and not within the scope of this repo nor our support.

@glenn-jocher Thanks for very quick response. I need to monitor SOPs of covid-19 in my task. i used yolo5 for mask and no mask detection. I have few questions:

1. i took streams from multiple cameras. Using yolo i am not able to save stream from each camera. Can i save stream from each camera separately OR after stitching all videos?
2. if i would be able to save stream from each camera then i can project those streams into a common top-view to monitor 6 feet distance. Can i do this all using yolo???

@sana1988 oh, mask dataset could be pretty useful! Please consider making a mask.yaml dataset to help future users get started more easily. I can help if you get a PR started. You can see existing datasets like COCO, VOC, Argoverse etc here:
https://github.com/ultralytics/yolov5/tree/master/data

About your question, in detect.py the save_img boolean controls saving annotated image results (images and videos), but it is disabled for multi-streams in this line:

You'd have to customize detect.py in a new PR to enable multi-stream saving, probably with one video per stream.

Please see our ✅ Contributing Guide to get started.

@glenn-jocher we have made necessary changes in detect.py to save multiple streams separately. I have also submitted a PR. You can verify and let me know.

@sana1988 can you link to the PR, I don't see it.

Could you submit a PR for the mask dataset if it's publically available?

@glenn-jocher here is link to PR #5931

@sana1988 great, thanks I'll check it out.

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
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• Docs – https://docs.ultralytics.com

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• Ultralytics HUB – https://ultralytics.com/hub
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• Contact Us – https://ultralytics.com/contact

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!