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influxdb_yolov5

YOLOv5 People Counter with InfluxDB Integration: Real-time people counting using YOLOv5 object detection. Store and analyze data in InfluxDB. Efficient and accurate. AGPL-3.0 License

https://github.com/dianachica/influxdb_yolov5

Science Score: 44.0%

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Repository

YOLOv5 People Counter with InfluxDB Integration: Real-time people counting using YOLOv5 object detection. Store and analyze data in InfluxDB. Efficient and accurate. AGPL-3.0 License

Basic Info
  • Host: GitHub
  • Owner: DianaChica
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 924 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

YOLOv5 People Counter with InfluxDB Integration

This repository contains the code for an object detection project using YOLO.

Prerequisites

  • Docker
  • Python 3.x
  • InfluxDB
  • An available RTSP camera

Configuration

Changes in database.py

You need to modify the InfluxDB configuration in order to work properly. Open the database.py file and make the following change:

python client = InfluxDBClient(url="http://your_ip:your_port/", token="your_token", org="your_org")

Changes in count_people.py

To set up the RTSP camera source and the weights for YOLO, you need to modify the count_people.py file as follows:

python subprocess.Popen(['python3', 'detect.py', '--source', 'rtsp://you_ip:your_port/cam', '--weights', 'yolov5s.pt','--save-txt'])

Usage

Clone the Repository

bash git clone https://github.com/DianaChica/influxdb-yolov5.git cd influxdb-yolov5

Build and Run the Docker Container

Once you're in the directory of the cloned repository, run the following commands:

bash docker build -t detection-yolo . docker run --memory=3072m --name=detection-yolo-container -d detection-yolo

Acknowledgments

This project utilizes the YOLOv5 object detection framework developed by Ultralytics. Special thanks to their team for their valuable contribution.

Owner

  • Login: DianaChica
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

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Dependencies

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Dockerfile docker
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utils/docker/Dockerfile docker
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utils/google_app_engine/Dockerfile docker
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requirements.txt pypi
  • GNUnano6.2requirements.txt *
  • Pillow >=7.1.2
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