shaoguowen's repositories
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
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
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.