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05-facerecognition

基于深度学习的多目标人脸识别——本科毕设系统代码

adelaidet

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

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

centernet

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

centernet2

Two-stage CenterNet

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

cocoapi

COCO API - Dataset @ http://cocodataset.org/

course-scheduling-system

C++实现的简易排课系统

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dabnet

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

damaitickets

小麦 大麦 刷票damai

dance

Code for "DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation", WACV2021

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dcnv2

Deformable Convolutional Networks v2 with Pytorch

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detpro

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fiber

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

glip

Grounded Language-Image Pre-training

hop

[ICCV 2023] Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction

icnet-tensorflow

An implementation of ICNet (Real-time image segmentation) in tensorflow, containing train/test phase, see tutorial at:

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

image-super-resolution-1

Implementation of Super Resolution CNN in Keras.

jd_seckill