human-detection
EDSR_Tensorflow
human-detection | EDSR_Tensorflow | |
---|---|---|
1 | 3 | |
34 | 211 | |
- | - | |
4.4 | 0.0 | |
6 months ago | about 1 year ago | |
Python | Python | |
- | Apache License 2.0 |
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human-detection
EDSR_Tensorflow
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Buzz Lightyear of Star Command Upscale 1440p-Release
really nothing actually, i used the model trained for 2d animation and the rest it in front of you. this is what i used https://github.com/xinntao/Real-ESRGAN its mainly trained for 2d animation you can also use this pre-trained models as well if you want https://github.com/Saafke/EDSR_Tensorflow . hope this helps
- [Question] Not getting good results with OpenCV in Python, Is there anything more I need to be doing?
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Inspired by the upscaled art of Kara no Kyoukai post, I upscaled Hisui
Model used: EDSR_x4 (https://github.com/Saafke/EDSR_Tensorflow/tree/master/models)
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
torchSR - Super Resolution datasets and models in Pytorch
Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.