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Research internship in semantic segmentation of panoramic images



Computer-Vision-Research-Project (GitHub)   •  Computer-Vision-Research-Project (Wiki)   •  LVSN (Research Laboratory)   •  Institut intelligence et données (IID) (research Institute)   •  Sentinelle Nord (Project)   •  J-F Lalonde Group (Team)   •  Algorithmic Photography (Course)

isabelleysseric (GitHub)   •  isabelleysseric.com (Portfolio)   •  isabelleysseric (LinkedIn)



Author: Isabelle Eysseric

Introduction

Project objective: Generate masks for semantic segmentation


Results: Generate masks for semantic segmentation, depth estimation and position estimation


The project took place in 3 phases:

  • Phase 0: Training on IA, DL and CV
  • Phase 1: Research and analysis of semantic segmentation
  • Phase 2: Tests on the two selected models
  • Phase 3: Generate masks

In this repository there are 3 folders, one for the code, one for the data, one for the images to be viewed in the wiki and another for the final report.



Structure

Computer-Vision-Research-Project

  • code
    • infer_depth_all.ipynb
    • infer_layout_all.ipynb
    • infer_sem_all.ipynb
    • README.md

  • data
    • applications
      • 1.COCO_detection
        • API COCO Python
        • README.md
      • 2.Matterport3D
        • image_1.png
        • ...
        • image_n.png
        • README.md
      • 3.Stanford2D3D
        • image_1.png
        • ...
        • image_n.png
        • README.md
    • input
      • image_1.png
      • ...
      • image_n.png
    • output
      • image_1.png
      • ...
      • image_n.png
    • panocontext
      • pano_asmasuxybohhcj.png
    • README.md

  • images
    • image_1.png
    • ...
    • image_n.png

  • rapport
    • Rapport_final_de_stage.pdf
    • README.md