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m66505196's Projects

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

as-one icon as-one

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

brightness-detection icon brightness-detection

This project is the Develop a generalized algorithm to detect the brightness of any image. Your algorithm should take an image as input and give a score between (0-10) as output (zero being low bright and 10 being high bright).

colorization icon colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

cvzone icon cvzone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

face-alignment-training icon face-alignment-training

Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

face.evolve icon face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

facer icon facer

Face analysis tools for modern research, equipped with state-of-the-art Face Parsing and Face Alignment

farl icon farl

FaRL for Facial Representation Learning [Official, CVPR 2022]

football_analysis icon football_analysis

This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

norfair icon norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

notebooks icon notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

paddledetection icon paddledetection

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

persianqa icon persianqa

Persian (Farsi) Question Answering Dataset (+ Models)

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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