Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Free Zip / Unzip software and Rar file extractor. Cross-platform file and archive manager. Features volume spanning, compression, authenticated encryption. Supports 7Z, 7-Zip sfx, ACE, ARJ, Brotli, BZ2, CAB, CHM, CPIO, DEB, GZ, ISO, JAR, LHA/LZH, NSIS, OOo, PAQ/LPAQ, PEA, QUAD, RAR, RPM, split, TAR, Z, ZIP, ZIPX, Zstandard.

Stars: ✭ 827 (+3080.77%)

Mutual labels: compression

Dandere2x

Dandere2x - Fast Waifu2x Video Upscaling.

Stars: ✭ 723 (+2680.77%)

Mutual labels: compression

C Blosc

A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.

Stars: ✭ 742 (+2753.85%)

Mutual labels: compression

Gan Compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Stars: ✭ 800 (+2976.92%)

Mutual labels: compression

Lz4

Extremely Fast Compression algorithm

Stars: ✭ 6,623 (+25373.08%)

Mutual labels: compression

Borgmatic

Simple, configuration-driven backup software for servers and workstations

Stars: ✭ 902 (+3369.23%)

Mutual labels: compression

Leanify

lightweight lossless file minifier/optimizer

Stars: ✭ 694 (+2569.23%)

Mutual labels: compression

Flyimg

Dockerized PHP7 application runs as a Microservice to resize and crop images on the fly. Get optimised images with MozJPEG, WebP or PNG using ImageMagick. Includes face detection, cropping, face blurring, image rotation and many other options. Abstract storage based on FlySystem in order to store images on any provider (local, AWS S3...).

Stars: ✭ 762 (+2830.77%)

Mutual labels: compression

Compressed Vec

SIMD Floating point and integer compressed vector library

Stars: ✭ 25 (-3.85%)

Mutual labels: compression

Pytorch Implemented Deep Sr Itm

A Pytorch implemented Deep SR-ITM (ICCV2019)

Stars: ✭ 23 (-11.54%)

Mutual labels: super-resolution

Zlib Ng

zlib replacement with optimizations for "next generation" systems.

Stars: ✭ 807 (+3003.85%)

Mutual labels: compression

View All Similar Projects ➔

Scale-wise Convolution for Image Restoration

AAAI 2020 [Arxiv]

This package is adapted from WDSR @ 3aeff43.

Performance

Networks	Parameters	DIV2K (val)	Set5	B100	Urban100	Pre-trained models	Training command
WDSR x2	1,190,100	34.76	38.08	32.23	32.34	Download	details `python trainer.py --dataset div2k --eval_datasets div2k set5 bsds100 urban100 --model wdsr --scale 2 --job_dir ./wdsr_x2`
WDSR x3	1,195,605	31.03	34.45	29.14	28.33	Download	details `python trainer.py --dataset div2k --eval_datasets div2k set5 bsds100 urban100 --model wdsr --scale 3 --job_dir ./wdsr_x3`
WDSR x4	1,203,312	29.04	32.22	27.61	26.21	Download	details `python trainer.py --dataset div2k --eval_datasets div2k set5 bsds100 urban100 --model wdsr --scale 4 --job_dir ./wdsr_x4`

Usage

Dependencies

conda install pytorch torchvision -c pytorch
conda install tensorboard h5py scikit-image
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" git+https://github.com/NVIDIA/apex.git

Evaluation

python trainer.py --dataset div2k --eval_datasets div2k set5 bsds100 urban100 --model wdsr --scale 2 --job_dir ./wdsr_x2 --eval_only

Datasets

DIV2K dataset: DIVerse 2K resolution high quality images as used for the NTIRE challenge on super-resolution @ CVPR 2017 Benchmarks (Set5, BSDS100, Urban100)

Download and organize data like:

wdsr/data/DIV2K/
├── DIV2K_train_HR
├── DIV2K_train_LR_bicubic
│   └── X2
│   └── X3
│   └── X4
├── DIV2K_valid_HR
└── DIV2K_valid_LR_bicubic
    └── X2
    └── X3
    └── X4
wdsr/data/Set5/*.png
wdsr/data/BSDS100/*.png
wdsr/data/Urban100/*.png

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].

Stars: ✭ 26

Visit Git Page 🔗Visit User Page 🔗Visit Issues Page (1) 🔗