FBCNN
Robo-Semantic-Segmentation
| FBCNN | Robo-Semantic-Segmentation | |
|---|---|---|
| 4 | 1 | |
| 391 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| 15 days ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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FBCNN
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January 2022 Tsukasa (Cleaned + Deartifacted Version)
JPEG deartifacting done via https://github.com/jiaxi-jiang/FBCNN.
- Digimon - genérico PT 4K
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JPEG Compression Artifacts Removal AI - FBCNN
Some of the sample images look fine but others look absolutely terrible. Especially the blue-tinted one (a still from a movie?) where the filter erases most of the fine detail. The man's face is so smooth that it's creepy. In the Tom and Jerry image, Jerry (the mouse)'s whiskers almost disappear where they overlap his face, and the drawer he's standing on loses most detail. If you can't see it in the video then look at the same images in full resolution on the GitHub page.
Robo-Semantic-Segmentation
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Where do I even start? Image segmentation.
Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
torch-metrics - Metrics for model evaluation in pytorch
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
AgentFormer - [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
torch-points3d - Pytorch framework for doing deep learning on point clouds.
Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/