Colouring photos could bring you a lot of fun to your daily life. Just imagine if you coloured your grandma’s old photo and showed it to your family, how surprised and happy they would be.
Colouring a picture with Photoshop is a so exhausting process, so we implemented this Photo coloring tool, which is based on Let there be Color, it's Deep Learning based on CNN, it can color any grayscale picture with any color scale and picture resolution.
💫 Version 0.1 out now!
Install the requirements:
pip3 install -r requirements.txt Running the web app locally
python3 WebApp/app.pyThen the endpoint will be running on http://127.0.0.1:5000/
- Download the Pre-trained model from here: https://www.dropbox.com/s/j9sehdm7fs65wax/model.zip?dl=0
- Unzip the file into
algorithm/Models/ - Run the Run the Endpoint again
The results are not bad at all! a lot of test cases gonna be so realistic, but the model still needs more training
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This project is an implementation of the Let there be Color, published 2016.
- Dataset used is MIT Places Scence Dataset. Sample of the data used
- The pre-trained model is trained only on Landscapes, seas and gardens pictures.
- Introduction to the problem: http://tinyclouds.org/colorize/
- More details about the solution: http://hi.cs.waseda.ac.jp/~iizuka/projects/colorization/en/
- https://github.com/pavelgonchar/colornet
- https://github.com/satoshiiizuka/siggraph2016_colorization
- https://github.com/OmarSayedMostafa/Deep-learning-Colorization-for-visual-media
- CNN: http://cs231n.github.io/convolutional-networks/
- CNN: https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html
- CNN: https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
- CNN: https://www.youtube.com/watch?v=Gu0MkmynWkw
- CNN: https://www.youtube.com/watch?v=2-Ol7ZB0MmU
- CNN: https://www.youtube.com/watch?v=s716QXfApa0
- Image Colorization: https://www.youtube.com/watch?v=2IWhh1gd_p0
- IMage Colorization: https://www.youtube.com/watch?v=S1HE9SpZl8A
- Image Colorization: https://blog.floydhub.com/colorizing-b-w-photos-with-neural-networks/
- Image Colorization: https://www.youtube.com/watch?v=tknFQULAAs0
- Image Colorization: https://www.youtube.com/watch?v=KO7W0Qq8yUE
- Deep learning: https://www.youtube.com/watch?v=He4t7Zekob0
- YUV: https://en.wikipedia.org/wiki/YUV
- CNN: https://en.wikipedia.org/wiki/Convolutional_neural_network
- https://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8
- http://cv-tricks.com/tensorflow-tutorial/training-convolutional-neural-network-for-image-classification/
- http://richzhang.github.io/colorization/
- https://github.com/microic/niy/tree/master/examples/colorizing_photos
- https://www.kaggle.com/preslavrachev/wip-photo-colorization-using-keras/notebook
- https://blog.floydhub.com/colorizing-b-w-photos-with-neural-networks/
- https://gist.github.com/standarderror/43582e9a15038806da8a846903438ebe
- https://github.com/coolioasjulio/Cat-Dog-CNN-Classifier
- https://gist.github.com/standarderror/43582e9a15038806da8a846903438ebe
- https://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8 https://medium.com/@parthvadhadiya424/hello-world-program-in-keras-with-cnn-dog-vs-cat-classification-efc6f0da3cc5
- https://hackernoon.com/colorising-black-white-photos-using-deep-learning-4da22a05f531
- http://whatimade.today/two-weeks-of-colorizebot-conclusions-and-statistics/
- Training, Training and more Training
- Train on more data clusters
- Extend the project to be able to colorize Videos