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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

ai-express

arcface-tf2

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

automl

Google Brain AutoML

background-matting

Background Matting: The World is Your Green Screen

backgroundmattingv2

Real-Time High-Resolution Background Matting

backgroundmattingv2-paddle

人工智能创新应用大赛——飞桨开源框架前沿模型复现专题赛

bazel

a fast, scalable, multi-language and extensible build system

caffe

Caffe: a fast open framework for deep learning.

caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

captcha_trainer

[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

car_num

车牌识别

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

chineseocr

yolo3+ocr

cmake

Mirror of CMake upstream repository

cocoapi

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

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

crossplatform-tflite-object-detecion

Cross-Platform object detection using TensorFlow Lite and OpenCV in C++

darknet

Convolutional Neural Networks

darknet2caffe

Convert darknet weights to caffemodel

deep-sort-mask-rcnn

采用 Mask R-CNN 算法模型进行目标检测，使用 Deep SORT 目标跟踪算法运动轨迹。

deep-sort-yolov4

People detection and optional tracking with Tensorflow backend.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepcamera

Open Source Face Recognition AI NVR

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

deepsort

MOT using deepsort yolo3 with C++

dl_tools

drowning-detector

Using YOLO object detection, this program will detect if a person is drowning. This project is still a work in progress, so it can only be implemented with a computer's webcam, and doesn't work completely yet.

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.