image-super-resolution
imagededup
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image-super-resolution | imagededup | |
---|---|---|
19 | 7 | |
4,493 | 4,943 | |
1.5% | 1.2% | |
0.0 | 1.5 | |
about 2 months ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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image-super-resolution
- A tech worker is selling a children's book he made using AI. Professional illustrators are pissed.
- Low quality surveillance footage from a hit and run that happened today. Greatly appreciate if anyone has any ideas on how to get the plate number.
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[R] What are the best pretrained super-resolution GAN models on GitHub?
Currently, I have already implemented the pretrained GAN model from here, however I am not yet satisfied with the results. Indeed, I will go with this one if there's no other option, but I was hoping maybe someone here can point me to a better direction. Thank you!
- [P] Tutorial on using image super-resolution without Photoshop
- [P] Tutorial on how to use image super-resolution without photoshop
- What’s an extremely useful website most people probably don’t know about?
- Hit and Run Can someone help me figure out what the plate says? Also any advice I've never been in an accident before
- VC#4 - pancake - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
imagededup
- Reverse Image Search Local Files? (NOT A DUPLICATE FINDER)
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Help checking for duplicate images with large number of images
imagededup
- Is there a software, that allows me to find all duplicates of ONE picture?
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fastest way to go about calculating hamming distance?
To generate the hashes I was just going to use https://github.com/idealo/imagededup as it has been effective in my testing. The issue is the scalability issue. That code even is able to find similar images, using distance hamming. But they didn't care about scalability, and that is now my biggest bottleneck.
- Find visual similar photos
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PowerShell skript for finding duplicate pictures
Which is why, it's much better to use a dedicated tool that can visually compare photos (using a neural net/machine learning model) to identify duplicate images. If you want a command-line tool for scripting purposes then check out imgdup2go or imagededup.
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How to remove duplicate images from your dataset (Also CIFAR-100 has issues)
I had used phash to find the duplicate images. The hashing algorithm is ingenious...And it was able to find duplicates (and thus remove) efficiently imagededub has perceptual hashing.
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
floc-simhash - A fast python implementation of the SimHash algorithm.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
alipay - An Unofficial Alipay API for Python
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
waifu2x - Image Super-Resolution for Anime-Style Art
Duplicate-Image-Finder - difPy - Python package for finding duplicate or similar images within folders
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
TensorPipe - High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.