Webcam

Add filters (background blur, etc) to your webcam on Linux

webcam-filters Add filters (background blur, etc) to your webcam on Linux. Video conferencing applications tend to either lack video effects altogether or support only a limited set of capabilities on Linux (e.g. Zoom [1], Google Meets [2]). Goal here is to provide a virtual webcam via v4l2loopback with a common set of filters that can be used everywhere. Usage Passthrough (no-op): $ webcam-filters –input-dev /dev/video0 –output-dev /dev/video3 Blur background: $ webcam-filters –input-dev /dev/video0 –output-dev /dev/video3 –background-blur 150 Dependencies Other than […]

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Telegram

A Telegram bot writen in Python for searching files in Drive

This is a Telegram bot writen in Python for searching files in Drive. Based on SearchX-bot git clone https://github.com/breakdowns/drive-searchbot searchbot/ cd searchbot Install requirements sudo apt install python3 sudo snap install docker For Arch and it’s derivatives: sudo pacman -S docker python Setting up config file cp config_sample.env config.env Remove the first line saying: _____REMOVE_THIS_LINE_____=True Fill up rest of the fields. Meaning of each fields are discussed below: BOT_TOKEN: The telegram bot token that you get from @BotFather OWNER_ID: The […]

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AlphaFold

ColabFold / AlphaFold2_advanced on your local PC (or macOS)

ColabFold / AlphaFold2_advanced on your local PC (or macOS) Installation For Linux Make sure curl and wget commands are already installed on your PC. If not present, you need install them at first. For Ubuntu, type sudo apt -y install curl wget. Download install_colabfold_linux.sh from this repository:$ wget https://raw.githubusercontent.com/YoshitakaMo/localcolabfold/main/install_colabfold_linux.shand run it in the directory where you want to install:$ bash install_colabfold_linux.shAbout 5 minutes later, colabfold directory will be created. Do not move this directory after the installation. Type cd colabfold […]

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Deep Learning

A Deep Learning based project for colorizing and restoring old images

Quick Start: The easiest way to colorize images using DeOldify (for free!) is here: DeOldify Image Colorization on DeepAI The most advanced version of DeOldify image colorization is available here, exclusively.  Try a few images for free! MyHeritage In Color Image (artistic) |Video NEW Having trouble with the default image colorizer, aka “artistic”?  Try the “stable” one below.  It generally won’t produce colors that are as interesting as “artistic”, but the glitches are noticeably reduced. Image (stable) Instructions on how […]

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Network

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution

This repository is the official PyTorch implementation of Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution(arxiv, supplementary). :rocket:  :rocket:  :rocket: News: Existing blind image super-resolution (SR) methods mostly assume blur kernels are spatially invariant across the whole image. However, such an assumption is rarely applicable for real images whose blur kernels are usually spatially variant due to factors such as object motion and out-of-focus. Hence, existing blind SR methods would inevitably give rise to poor performance […]

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Telegram

A telegram bot hosted by a Raspberry Pi equipped with a temperature and humidity sensor

This is a telegram bot hosted by a Raspberry Pi equipped with a temperature and humidity sensor. The bot is capable of sending plots and readings. Structure This project is composed of 3 main files: bot.py is used to host the telegram bot. graph.py contains the Graph class, used to make graphs. sensor.py contains the TemperatureSensor class, used to write and read from the sqlite3 database, as well as the function that reads the temperature and humidity values from the […]

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Visual Recognition

Released code for Causal Attention for Unbiased Visual Recognition

This repo contains the codes of training our CaaM on NICO/ImageNet9 dataset. Due to my recent limited bandwidth, this codebase is still messy, which will be further refined and checked recently. 0. Bibtex If you find our codes helpful, please cite our paper: @inproceedings{wang2021causal, title={Causal Attention for Unbiased Visual Recognition}, author={Wang, Tan and Zhou, Chang and Sun, Qianru and Zhang, Hanwang}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, year={2021} } 1. Preparation Installation: Python3.6, Pytorch1.6, tensorboard, timm(0.3.4), […]

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Real Time

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile DevicesXindong Zhang, Hui Zeng, Lei ZhangACM Multimedia 2021 Codes An older version implemented based on EDSR is place on /legacy folder. For more details, please refer to /legacy/README.md. The following is the lighten version implemented by us. Dependencies & Installation Please refer to the following simple steps for installation. git clone https://github.com/xindongzhang/ECBSR.git cd ECBSR pip install -r requirements.txt Training and benchmarking data can be downloaded from DIV2K and benchmark, respectively. Thanks […]

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Tree

A Pytree Module system for Deep Learning in JAX

A Pytree-based Module system for Deep Learning in JAX Intuitive: Modules are simple Python objects that respect Object-Oriented semantics and should make PyTorch users feel at home, with no need for separate dictionary structures or complex apply methods. Pytree-based:  Modules are registered as JAX PyTrees, enabling their use with any JAX function. No need for specialized versions of jit, grad, vmap, etc. Expressive: In Treex you use type annotations to define what the different parts of your module represent (submodules, […]

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YOLO

YOLOv5-Lite：lighter, faster and easier to deploy

YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~ Perform a series of ablation experiments on yolov5 to make it lighter (smaller Flops, lower memory, and fewer parameters) and faster (add shuffle channel, yolov5 head for channel reduce. It can infer at least 10+ FPS On the Raspberry Pi 4B when […]

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