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Title: GitHub - AutoVisionLocalization/SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

Open Graph Title: GitHub - AutoVisionLocalization/SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

X Title: GitHub - AutoVisionLocalization/SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

Description: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation - AutoVisionLocalization/SimVODIS

Open Graph Description: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation - AutoVisionLocalization/SimVODIS

X Description: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation - AutoVisionLocalization/SimVODIS

Opengraph URL: https://github.com/AutoVisionLocalization/SimVODIS

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train.pyhttps://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS/blob/master/train.py
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utils.pyhttps://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS/blob/master/utils.py
READMEhttps://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#simvodis
Simultaneous Visual Odometry, Object Detection, and Instance Segmentation.https://arxiv.org/abs/1911.05939
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS/blob/master/figures/comparison_people.png
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#getting-started
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#requirements
Pytorch 1.0.0 from a nightly releasehttps://pytorch.org/get-started/previous-versions/
MaskRCNN (included in this project)https://github.com/facebookresearch/maskrcnn-benchmark
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#installation
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#pretrained-mask-rcnn-model
R-50-FPNhttps://download.pytorch.org/models/maskrcnn/e2e_mask_rcnn_R_50_FPN_1x.pth
Facebook Mask-RCNN benchmark repohttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#data-preparation
KITTIhttp://www.cvlibs.net/datasets/kitti/raw_data.php
scripthttp://www.cvlibs.net/download.php?file=raw_data_downloader.zip
the official webhttps://www.mrpt.org/MalagaUrbanDataset
the official repositoryhttps://github.com/ScanNet/ScanNet
the official webhttps://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
the official webhttps://vision.in.tum.de/data/datasets/rgbd-dataset/download
the official webhttp://make3d.cs.cornell.edu/
the official webhttps://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#training
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#kitti-evaluation
Monodepth2https://github.com/nianticlabs/monodepth2
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#performance
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#pretrained-networks
Encoder (same as mask-rcnn)https://drive.google.com/file/d/1vWJQkYL8y3UQLG-gl-IcVTC9aMlMd5b7/view?usp=sharing
Depth Decoderhttps://drive.google.com/file/d/1Al6vkNDPpDd7i90Ly2uGPPddlzhpuMKI/view?usp=sharing
Pose Decoderhttps://drive.google.com/file/d/1BybvE2seYwDy9VsFlxodSXNl3q8pYI4w/view?usp=sharing
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#qualitative-results
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS/blob/master/figures/comparison_qualitative.png
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#license
LICENSE.mdhttps://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS/blob/master/LICENSE.md
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#citations
https://patch-diff.githubusercontent.com/AutoVisionLocalization/SimVODIS#acknowledgments
Monodepth2https://github.com/nianticlabs/monodepth2
MaskRCNNhttps://github.com/facebookresearch/maskrcnn-benchmark
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