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lsd_slam

LSD-SLAM

lsi-faster-rcnn

LSI-Faster R-CNN: An enhanced version of Faster R-CNN for joint object detection and viewpoint estimation

m2dp-gpu

A GPU implementation of the M2DP algorithm to match point clouds

machinelearning

Machine Learning in Action（机器学习实战）

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mapgenerator_kitti

mask-rcnn

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

mask_rcnn

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

matconvnet

MatConvNet: CNNs for MATLAB

mcl3d

3D Montecarlo localization

mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

mergecap

Merges PCAP files in a directory with non-overlapping timestamps into another PCAP file

mind_map_of_lego_loam

This is written by xmind-zen

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mnasnet.mxnet

A Gluon implementation of Mnasnet

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetv2-ssdlite

Caffe implementation of SSD detection on MobileNetv2, converted from tensorflow.

moderngpu

Patterns and behaviors for GPU computing

mola-fe-lidar

MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.

mosse_tracker

C++ implementation of the MOSSE tracker

mscnn

mtcnn-light

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows

mtf

Modular Tracking Framework

multi-object-tracker

Multiple objects tracker using openCV and dlib

multi-target-tracking

Multi target tracking with Opencv

multi-target-tracking-1

Multi target (object) tracking using kernelized structured output support vector machine (SVM).

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans

multitarget-tracker

Hungarian algorithm + Kalman filter multitarget tracker implementation.