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awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

caffe

Caffe: a fast open framework for deep learning.

chatllms-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCVW 2019 https://arxiv.org/abs/1901.00212

face_recognition

The world's simplest facial recognition api for Python and the command line

fasterliveportrait

Bring portraits to life in Real Time！onnx/tensorrt support！

groundingdino

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

imgclsmob

Sandbox for training convolutional networks for computer vision

keras-coordconv

Keras implementation of CoordConv for all Convolution layers

mdmm

Learning multi-domain multi-modality I2I translation

mmdetection

Open MMLab Detection Toolbox and Benchmark

rankiqa

The rep for the RankIQA paper in ICCV 2017

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

stable-diffusion-webui

Stable Diffusion web UI

tgs-salt-identification-challenge

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and per

vision

Datasets, Transforms and Models specific to Computer Vision

vmaf

Perceptual video quality assessment based on multi-method fusion.