https://github.com/shan18/computer-vision-with-opencv
Basic computer vision tasks using openCV
https://github.com/shan18/computer-vision-with-opencv
computer-vision document-scanner face-detection motion-detector opencv python
Last synced: about 2 months ago
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Basic computer vision tasks using openCV
- Host: GitHub
- URL: https://github.com/shan18/computer-vision-with-opencv
- Owner: shan18
- Created: 2018-02-18T14:44:37.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-06-13T05:07:17.000Z (about 6 years ago)
- Last Synced: 2025-01-08T16:56:51.858Z (over 1 year ago)
- Topics: computer-vision, document-scanner, face-detection, motion-detector, opencv, python
- Language: Python
- Homepage:
- Size: 16 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Computer Vision with OpenCV
This repository contains some projects that I did while learning openCV.
1. [Image resizing](/document_scanner/):
Resizes all the images within a specified folder.
2. [Face Detection](/face_detection/):
Detects faces in an image.
3. [Webcam Motion Detector](/webcam_motion_detector/):
Draws a box around moving objects that appear in the webcam.
4. [Document Scanner](/document_scanner/):
Scans the documents inside a photograph and converts them into a digital format.
5. [Color Transfer](/color_transfer/):
Transfer colours from the source image to the target image.
6. [Camshift Object Tracking](/camshift_object_tracking/):
Track object in a video using camshift.
7. [Where's Waldo](/finding_waldo/):
Given a image, find waldo.
8. [K-means Color Clustering](/kmeans_color_clustering/):
Pull out the dominant colors from an image using k-means clustering algorithm.
9. [Image Search Engine](/image_search_engine/):
Perform image search based on the images stored in the *images/* directory.
- First run the `index_dataset.py` file to generate the image indexes.
- `search.py` performs search using an image which already exists in the dataset.
- `search_external.py` performs search using a new image given by the user.