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android_mtcnn_insightface_face_recognize

detect face with mtcnn and embedder with insightface

attendance-using-face

Face-recognition using Siamese network

bag_of_tricks_cnn

The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

binaryhashcodes_for_image_retrieval

keras/pytorch deep learning binary hash codes for image retrieval

chinese-ocr

基于CTPN（tensorflow）+CRNN（pytorch）+CTC的不定长文本检测和识别

chinese-subtitle-ocr

Optical character recognition for Chinese subtitles using SSD and CNN

computervision

翻译计算机视觉

crnn.pytorch

Convolutional recurrent network in pytorch

data_generator_object_detection_2d

A data generator for 2D object detection

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

dfl-cnn

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

douyin-live

抖音直播协议、抖音弹幕协议、抖音爬虫分析、快手直播协议、快手弹幕协议、快手爬虫分析、js逆向

emotion-recognition

Real time emotion recognition

facenet

Face recognition using Tensorflow

facerecog

Realtime Facial recognition system using Siamese neural network

hmg-dynamics

objectdetection-onestagedet

piface

树莓派人脸识别打卡

plate_classification_segmentation

Plate_Classification_Segmentation

pytorch-auto-augment

PyTorch implementation of AutoAugment.

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorch_vehiclecolorrecognition

vechile color recognition using pytorch

pytorchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval

scenereco

ctpn+crnn Scene character recognition

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

toolbox