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orbslam2_semantic_mapping's Introduction

ORBSLAM2_Semantic_Mapping

Semantic mapping based on pixel level classification.

1. Reference

2. Prerequisites

The weight file should be placed in deeplabv2/data/models,and downloads in deeplab-pytorch . And you can change the path in deeplabv2/inference.py.

class SegModel():
    def __init__(self):
        config_path = "deeplabv2/configs/cocostuff164k.yaml"
        model_path = "deeplabv2/data/models/deeplabv2_resnet101_msc-cocostuff164k-100000.pth"
        ......

3. Build and Run

The same as ORB-SLAM2.

4. Explain (Chinese)

Refer to 基于ORB-SLAM2的语义地图构建.

orbslam2_semantic_mapping's People

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orbslam2_semantic_mapping's Issues

Segmentation fault (core dumped)

ORB-SLAM2 Copyright (C) 2014-2016 Raul Mur-Artal, University of Zaragoza.
This program comes with ABSOLUTELY NO WARRANTY;
This is free software, and you are welcome to redistribute it
under certain conditions. See LICENSE.txt.

Input sensor was set to: RGB-D

Loading ORB Vocabulary. This could take a while...
Vocabulary loaded!

Segmentation fault (core dumped)

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