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https://github.com/capjamesg/image-collage

Generate an image collage with computer vision.

https://github.com/capjamesg/image-collage

Science Score: 13.0%

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    Low similarity (6.1%) to scientific vocabulary

Keywords

art computer-vision python zero-shot-object-detection
Last synced: 6 months ago · JSON representation

Repository

Generate an image collage with computer vision.

Basic Info
  • Host: GitHub
  • Owner: capjamesg
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 7.81 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
art computer-vision python zero-shot-object-detection
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Image Collage Generator

Generate a collage of images where a specific object of interest is focused.

This project uses a zero-shot object detection model, Grounding DINO, to identify regions corresponding to objects of interest. These regions are then cropped and stitched together into a collage.

Here is an example of a collage generated by this project:

grid

Usage

First, install this project from source:

git clone https://github.com/capjamesg/image-collage cd image-collage pip3 install -r requirements.txt

To generate a collage, run:

python3 app.py --input_images=folder/with/images --prompt="object" --confidence=0.7

Above, set:

  • input_images to the name of a directory with all the images you want to stich together into a collage.
  • prompt to the object of interest you want to identify.
  • confidence to the minimum confidence a model prediction must be to be considered for inclusion in the image collage.

License

This project is licensed under an MIT license.

Owner

  • Name: James
  • Login: capjamesg
  • Kind: user
  • Location: Scotland
  • Company: @Roboflow

from words, wonder.

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Dependencies

requirements.txt pypi
  • numpy *
  • opencv-python *
  • supervision *
  • tqdm *