kongsewoon Goto Github PK

age-gender

Age and gender recognition using arcface and MLP.

age_gender

alexnet

Assignment

bsrgan

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

bsrgan-pip

BSRGAN-Pip: Packaged version of the BSRGAN repository

classification

cmgraph-crowd-forecasting

deep-feature-flow

Deep Feature Flow for Video Recognition

dmrgcn

Official Code for "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction (AAAI 2021)"

face-classification

Computer Vision project that detects emotion, age and gender after detecting faces.

face-super-resolution

Face super resolution based on ESRGAN

facedetection-dsfd

腾讯优图高精度双分支人脸检测器

images-classification

images

kong

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lang-segment-anything

SAM with text prompt

lightdsfd

light DSFD

orpvr

Video Retargeting Using Instance Segmentation and Video Inpainting

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

pedestrian-test

person-reid-tiny-baseline

Open source person re-identification in Pytorch

person_reid_baseline_pytorch

:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

progressive-face-super-resolution

Official Pytorch Implementation of Progressive Face Super-Resolution (BMVC 2019 Accepted)

pythonproject

re-id

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

realsr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

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.

srez

Image super-resolution through deep learning

srlstm

States Refinement LSTM