Collager turns your images and videos to dataset collages, with a Gradio UI. The original image is broken into patches and is replace with nearest neighbouring dataset image with respect to the mean pixel value of the three channels. When lookead the result from a distance, one could see the original image (kind of) but replaced with dataset images.
- Anime
- ImageNet10
- SVHN
- CIFAR_10
Original Picture of RKMVERI
Anime with 50 grids across the height. Zoom into the picture to see the Anime dataset images that replaced your image grids.
ImageNet10 with 50 grids across the height. Zoom into the picture to see ImageNet10 images.
SVHN with 50 grids. Zoom into the picture to see SVHN images.
CIFAR_10 with 50 grids across the height. Zoom into the picture to see CIFAR_10 images.
Original Video
ImageNet video with 100 grids across the height.
From working directory, run pip install -r requirements.txt
In the dataset folder, run create_datasets.py
python3 create_datasets.py
In collage, run gradio_app_img.py
python3 gradio_app_img.py
Copy the local server link and paste it in your browser to work in the interface
In collage, run gradio_app_img.py
python3 gradio_app_img.py
Copy the local server link and paste it in your browser to work in the interface
This is my first open source project. I thank my brother Jimut for giving me the idea of this project and Sw. Punyeshwarananda, HOD, Dept. of Computer Science, RKMVERI for providing suggestions for improvements.