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Boris Sekachev 5e21b4acce
Batch of fixes (#1403)
* Fixed bug when job cannot be opened

* Fixed bug when deactivated shape is still highlighted

* Fixed Error: 'AttributeError: 'tuple' object has no attribute 'read'

* Fixed: wrong semi-automatic segmentation near edges of an image

* Updated changelog

Co-authored-by: Nikita Manovich <40690625+nmanovic@users.noreply.github.com>
6 years ago
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static/reid/js RESTful API (#389) 7 years ago
README.md Re-Identification application (#299) 7 years ago
__init__.py Re-Identification application (#299) 7 years ago
apps.py Re-Identification application (#299) 7 years ago
reid.py Batch of fixes (#1403) 6 years ago
urls.py Re-Identification application (#299) 7 years ago
views.py Re-Identification application (#299) 7 years ago

README.md

Re-Identification Application

About the application

The ReID application uses deep learning model to perform an automatic bbox merging between neighbor frames. You can use "Merge" and "Split" functionality to edit automatically generated annotation.

Installation

This application will be installed automatically with the OpenVINO component.

Running

For starting the ReID merge process:

  • Open an annotation job
  • Open the menu
  • Click the "Run ReID Merge" button
  • Click the "Submit" button. Also here you can experiment with values of model threshold or maximum distance.
    • Model threshold is maximum cosine distance between objects embeddings.
    • Maximum distance defines a maximum radius that an object can diverge between neightbor frames.
  • The process will be run. You can cancel it in the menu.