- KAGGLE
- Right Whale Recognition | Kaggle
- Higgs Boson Machine Learning Challenge | Kaggle
- ALASKA2 Image Steganalysis | Kaggle
- Global Wheat Detection | Kaggle
- Passenger Screening Algorithm Challenge | Kaggle
- Data Science Bowl 2017 | Kaggle
- Airbus Ship Detection Challenge | Kaggle
- RSNA Pneumonia Detection Challenge | Kaggle
- TensorFlow Speech Recognition Challenge | Kaggle
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| """ | |
| Usage: | |
| # Create train data: | |
| python generate_tfrecord.py - --csv_input = <PATH_TO_ANNOTATIONS_FOLDER > /train_labels.csv - -output_path = <PATH_TO_ANNOTATIONS_FOLDER > /train.record | |
| # Create test data: | |
| python generate_tfrecord.py - --csv_input = <PATH_TO_ANNOTATIONS_FOLDER > /test_labels.csv - -output_path = <PATH_TO_ANNOTATIONS_FOLDER > /test.record | |
| """ |
- Image Colorization: A Survey and Dataset
- Decrappification, DeOldification, and Super Resolution · fast.ai
- Black and white image colorization with OpenCV and Deep Learning - PyImageSearch
- Image Colorization using Convolutional Autoencoders | by Eryk Lewinson | Towards Data Science
- Colorizing Black & White images with Deep Learning | by Jair Ribeiro | Towards AI | Medium
- Colorizing B&W Photos with Neural Networks
- [Image Colorization with Deep Convolutional Neural Networks | SpringerLink](https://link.sprin
- Image Super-Resolution | Papers With Code
- Enhancing your photos through artificial intelligence
- Super-resolution imaging - Wikipedia
- [1904.07523] A Deep Journey into Super-resolution: A survey
- [1808.03344] Deep Learning for Single Image Super-Resolution: A Brief Review
- [1902.06068] Deep Learning for Image Super-resolution: A Survey
- An Introduction to Super Resolution using Deep Learning | by Bharath Raj | BeyondMinds | Medium
- [Deep learning based super resolution, without using a GAN | by C
- Image Inpainting | Papers With Code
- Deep Image Prior - Wikipedia
- Inpainting - Wikipedia
- Introduction to image inpainting with deep learning on Weights & Biases
- Image inpainting with OpenCV and Python - PyImageSearch
- Image Inpainting — OpenCV-Python Tutorials 1 documentation
- Guide to Image Inpainting: Using machine learning to edit and correct defects in photos | by Jamshed Khan | Heartbeat
- [
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| """ | |
| stable diffusion dreaming | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
| to stitch together the images, e.g.: | |
| $ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |
An example of a diff code block:
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| import os | |
| import gc | |
| import cv2 | |
| import glob | |
| import shutil | |
| import random | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from tqdm import tqdm |
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