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mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

neural-enhance

Super Resolution for images using deep learning.

nniefacelib

nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms

object_detection

Summary of object detection（modules&&improvements）

objectbox

opencv

Open Source Computer Vision Library

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

optical-flow-filter

A real time optical flow algorithm implemented on GPU

paddle

PArallel Distributed Deep LEarning

pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pico

A minimalistic framework for fast object detection (with a pre-trained face detector)

pillar-od

protobuf

Protocol Buffers - Google's data interchange format

pva-faster-rcnn

Demo code for PVANET

pytorch-caffe-darknet-convert

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-yolo-v1

an experiment for yolo-v1, including training and testing.

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

r3det_tensorflow

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

reppointsv2

resmatch

Implementation of "Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning"

resnet-1k-layers

Deep Residual Networks with 1K Layers

rknpu2

scikit-learn

scikit-learn: machine learning in Python

sdm

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

senet

Squeeze-and-Excitation Networks

sgm

Semi-Global Matching on the GPU