GarciaGao

GarciaGao's Stars

• OpenGVLab/InternImage

  [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

  Language:Python2.5k233

• Superlee506/Mask_RCNN_Humanpose

  Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.

  Language:Jupyter Notebook18936

• ahmedfgad/Mask-RCNN-TF2

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

  Language:Python324201

• pedropro/TACO

  🌮 Trash Annotations in Context Dataset Toolkit

  Language:Jupyter Notebook597199

• MuntahaShams/Object-detection-using-YOLOv3

  YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

  Language:Jupyter Notebook77

• zzzheng/pytorch-yolo-v1

  Pytorch implementation of YOLO v1 from scratch

  Language:Python123

• OmarMedhat22/Iris-Recognition-Ubiris-v1

  Language:Python106

• apostaremczak/iris-recognition

  Biometric system that can recognize users using photos of their irides. Based on ResNet50.

  Language:Python134

• OmarMedhat22/iris-Recognition-Casia-Interval-v4

  Language:Python118

• OmarMedhat22/Iris-Recognition-CASIA-Iris-Thousand

  Language:Python3316

• RenMin1991/Dyamic-Graph-Representation

  Official Dynamic Graph Representation PyTorch implement for iris/face recognition

  Language:Python468

• digital-nomad-cheng/Iris_Landmarks_PyTorch

  Iris landmarks localization.

  Language:Python6623

• aakashjhawar/face-recognition-using-deep-learning

  Identify faces from video and images using OpenCV and Deep Learning

  Language:Python13132

• fdbtrs/CR-FIQA

  Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

  Language:Python969

• Alireza-Akhavan/face-quality-metrics

  Quality Metrics for face identification problem

  Language:Python417

• iqbalnaved/improving_biometric_quality

  Improving Biometric Quality of Noisy Face Images

  Language:Matlab94

• ageitgey/face_recognition

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

  Language:Python53.3k13.5k

• serengil/deepface

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

  Language:Python14.1k2.2k

• serengil/tensorflow-101

  TensorFlow 101: Introduction to Deep Learning

  Language:Jupyter Notebook1.1k635

• Debatrix/DFSNet

  An recognition oriented deep learning framework for biometric sample quality assessment

  Language:Jupyter Notebook93

• idealo/image-quality-assessment

  Convolutional Neural Networks to predict the aesthetic and technical quality of images.

  Language:Python2.1k447

• pterhoer/FaceImageQuality

  Code and information for face image quality assessment with SER-FIQ

  Language:Python53490

• hamna-moieez/MachineLearning

  Implementation of various ML algorithms and their application to real world problems

  Language:Jupyter Notebook1

• kanissh/crack-detection

  Python based application to detect and demarcate cracks in a photo of a concrete surface.

  Language:Python91

• konskyrt/Concrete-Crack-Detection-Segmentation

  📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

  Language:Jupyter Notebook5621

• toxinoid00/CrackDetection

  Crack detection for concrete structure using Matlab

  Language:Matlab3012

• qinnzou/DeepCrack

  DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

  Language:Python25059

• hbhasin/Image-Recognition-with-Deep-Learning

  Image Classifier using Transfer Learning

  Language:Jupyter Notebook2340

• shomnathsomu/crack-detection-opencv

  Crack Detection On Highway Or Pavement Using OpenCV

  Language:Python12435

• vbrodrigues/Concrete-Crack-Classification-Model

  Convolutional Neural Network with TensorFlow Keras API for crack recognition in concrete surfaces.

  Language:Python1712