https://github.com/neoanarika/object-tracking-detection
Real time object tracking and detection on raspberry pi
https://github.com/neoanarika/object-tracking-detection
opencv-python python yolov3
Last synced: about 1 month ago
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Real time object tracking and detection on raspberry pi
- Host: GitHub
- URL: https://github.com/neoanarika/object-tracking-detection
- Owner: Neoanarika
- Created: 2018-09-01T09:46:26.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-18T15:00:20.000Z (over 6 years ago)
- Last Synced: 2025-06-11T03:39:09.537Z (4 months ago)
- Topics: opencv-python, python, yolov3
- Language: Python
- Homepage:
- Size: 14.6 KB
- Stars: 16
- Watchers: 3
- Forks: 10
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Object tracking and detection framework
This project aims to develop a simple and efficient
object tracking and detection framework using yolo for raspberry pi.
Currently readNet feature for opencv3.4 is only for python 3.5, hence pls use python3.5 when you run this code.
# Installing opencv3.4 on raspberry pi 3
After you have git clone this repo into your home directory
```
mv ~/object-tracking-detection/opencv_install ~/opencv_install.sh
sudo ./opencv_install.sh
```
# Dependencies
1. opencv3.4
2. Scipy
3. Numpy
4. Tensorflow
5. imutils