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megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

mesh_to_sdf

Calculate signed distance fields for arbitrary meshes

meshrcnn

code for Mesh R-CNN, ICCV 2019

meshroom

3D Reconstruction Software

meshtastic

Meshtastic project website and documentation

meshtastic-python

The Python CLI and API for talking to Meshtastic devices

micropython-fusion

Sensor fusion calculating yaw, pitch and roll from the outputs of motion tracking devices

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

minkloc3d

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

minkloc3d-si

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity

minkloc3dv2

MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

minklocmultimodal

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

mipnerf_pl

Unofficial pytorch-lightning implement of Mip-NeRF

mirrorextensionsample

A sample project using Mirror which is a networking library for Unity.

mjpegstreaming-unity

MJPEG streaming for Unity using Reliable UDP library

ml-agents

Unity Machine Learning Agents Toolkit

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

mobile-vision

Mobile vision models and code

mobilenet-ssd-tensorrt

Accelerate mobileNet-ssd with tensorRT

mobilenet-yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

mobilepydnet

Pydnet on mobile devices

model-viewer

Easily display interactive 3D models on the web and in AR!

models

Models and examples built with TensorFlow

momo

WebRTC Native Client Momo

mono-semantic-maps

monodepth

Unsupervised single image depth prediction with CNNs