https://github.com/ntshvicky/imageclassification
Read car, truck and other images from dataset and store based on their named folder using Yolo V3
https://github.com/ntshvicky/imageclassification
image-classification image-processing image-segmentation jupyter-notebook python3 yolov3
Last synced: 2 months ago
JSON representation
Read car, truck and other images from dataset and store based on their named folder using Yolo V3
- Host: GitHub
- URL: https://github.com/ntshvicky/imageclassification
- Owner: ntshvicky
- Created: 2020-07-27T19:30:13.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-27T19:47:34.000Z (almost 6 years ago)
- Last Synced: 2025-06-04T05:53:30.739Z (about 1 year ago)
- Topics: image-classification, image-processing, image-segmentation, jupyter-notebook, python3, yolov3
- Language: Jupyter Notebook
- Homepage:
- Size: 84.5 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ImageClassification
This Code help you to classify Car, Truck and Other images from a generic image dataset and copy matched file on each folder using Yolo V3
# Step
1. Create 4 folder with name car, truck, error, other
2. Download yolov3.weights
wget https://pjreddie.com/media/files/yolov3.weights
3. Create virtual environment and install Opencv and numpy
pip install numpy
pip install opencv-python