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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-lane-detection

A paper list of lane detection.

awesome_face_antispoofing

Single Shot Face Anti-spoofing.

browser_cookie3

This is a fork of browser_cookie

caffe

Caffe: a fast open framework for deep learning.

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-ssd

copy of weiliu98's caffe ssd branch

caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

caffe_ssd_lstm_lpr

基于SSD+Resnet+CTC的中文车牌检测识别

cartoongan-test-pytorch-torch

Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

cbnetv2

cdcn

Central Difference Convolutional Networks

centermulti

基于CenterNet训练的目标检测器和姿态估计模型

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet_mobilenetv2_ncnn

centernet_mobilenetv2 inference by ncnn

centernetcpp

centerNet Caffe inference CPP

chalearn_liveness_challenge

ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

computer-vision-tools

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

cvpr19-face-anti-spoofing

Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06