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2019aicity_code_from_top_teams

The code from the top teams in the 2019 AI City Challenge

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-model-zoo

caffe pretrained models and prototxt

caffe-public

a forked copy of caffe from Berkeley

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

chatbotcourse

自己动手做聊天机器人教程

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

chinese_licence_plate_generator

A tool for generating Chinese license plate dataset for plate detecting

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

doccument

my study notes

document

my study notes

eanet

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

fast-reid

SOTA ReID Methods and Toolbox

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fasterrcnn-pytorch

FasterRCNN is implemented in VGG, ResNet and FPN base.

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

helloword

insightface_pytorch

Pytorch0.4.1 codes for InsightFace

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lets_ocr

A repository for OCR, which inlcudes some classical OCR algorithms Pytorch implementation such as CTPN, EAST and CRNN.

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mgn-pytorch

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

mman

Code for ECCV2018 paper：Macro-Micro Adversarial Network for Human Parsing

mmcv

OpenMMLab Computer Vision Foundation

mmdetection-mini

mmdetection最小学习版

models

Models and examples built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （经典复现模型）

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥