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mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

micro-expression-with-deep-learning

Experimentation of deep learning on the subjects of micro-expression spotting and recognition.

milvus

An open source vector similarity search engine

ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

mnn-applications

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

models

Models and examples built with TensorFlow

models-1

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

mtcnn_facenet_cpp_tensorrt

Face Recognition on NVIDIA Jetson (Nano) using TensorRT

multisensory

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

mvss-net

code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

mxnet_mtcnn_face_detection

MTCNN face detection

nemo

NeMo: a toolkit for conversational AI

netron

Visualizer for neural network, deep learning, and machine learning models

node-jetson-webcam

simplified dingsbumbs to manage multiple webcams on a jetson nano with hardware encoding

nvidia-deepstream-azure-iot-edge-on-a-nvidia-jetson-nano

This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.

ocrcn_tf2

TensorFlow2.0的中文汉字手写体识别！OCR必备，欢迎star！

opencv-python-tutorial

OpenCV-Python图像处理教程

opencv3-intro-book-src

:blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

paddleocr

基于飞桨的OCR工具库，包含总模型仅8.6M的超轻量级中文OCR，单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测、文本识别的训练算法。

panet

PANet for Instance Segmentation and Object Detection

psenet

keras implementation of PSENET

pysot

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Up to 100FPS landmark inference on CPU.

radon-cumulative-distribution-transform

Radon Cumulative Distribution Transform

real_time_face_recognition

Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet

real_time_face_recognize

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

rgb-n