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maskdino

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

matlab-tools

Collection of support scripts to read/write/process light field data

matplotlib-cn

matplotlib中文文档

metacrowdtune

Flexible deep learning models in computer vision

metal-dent-detection

classification of metal surfaces as dent / no dent

methodslight-field-depth-estimation

This implement contain some light field depth estimation method.

mimo-unet

MIMO-UNet - Official Pytorch Implementation

mindmap_to_xmind

有道云笔记的思维导图和xmind相互转换工具

mipi_camera

mnist

Pytorch mnist example

mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

modulationtransferfunciton

Small Program for Bio Lab Courses on the MTF of the Eye

monocular-vision-ranging-system

基于单目视觉原理，研究目标图像的预处理、识别、定位方法与测距模型，设计实现一个目标识别与定位测距原型系统。

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

morefilescene-reconstruction-from-light-field-data

An attempt to reconstruct a point cloud from Lytro's files.

mtf

MTF曲线的绘制

mtf-1

mtf-on-image

mtf-test

toolbox

mv_mtf_estimator

Given Images Patch out of SFR Chart , the CNN estimates the MTF values

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

nanodet-plus-opencvdnn

分别使用OpenCV、ONNXRuntime部署NanoDet-Plus，包含C++和Python两个版本的程序

ncnn

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

ncnn-android-yolox

Real time yolox Android demo by ncnn

netvlad-pytorch

netvlad-pytorch-1

PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.

netvlad_pytorch

My NetVLAD implementation using PyTorch

nlp

NLP

non-overlapping-extrinsic-cameracalibration

The evaluation framework and the calibration method extension for additional cameras. The method uses blender and opencv. See the readme.txt. Should require only minimal configuration and tweaking to work...