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This repository has been archived by the owner on Jun 26, 2023. It is now read-only.

Releases: segmind/segmind-old

v0.1.9: Adds stop notebook instance feature

09 Jun 12:23
7fd0cd0
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Version 0.1.9 adds stop instances functionality, allowing people to stop notebook instances in code from cloud notebooks.

from segmind import instance
instance.stop()

Add Stop Functionality

09 Jun 12:03
90dd76e
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Pre-release

Stop an Instance.

0.1.9-beta1

09 Jun 12:16
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0.1.9-beta1 Pre-release
Pre-release

Creating beta release for stop instance feature

[0.1.8] New-Features & Improvements

07 Mar 12:39
411a6e3
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[0.1.8.b4] Progress bar enhancements for `segmind upload`

03 Mar 11:25
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[0.1.8.b3] Fixes issues while uploading folder

14 Feb 23:49
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Minor Fixes/Improvements:

[0.1.8.b2] Fixes issues while uploading folder

11 Feb 11:08
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Minor Fixes/Improvements:

[0.1.8.b] Improvements

09 Feb 22:53
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Minor Fixes/Improvements:

[0.1.7] MMdetection Integration, Run Tags, API Based Authentication

03 Feb 13:29
0a0a515
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This version includes multiple upgrades:

  • MMDetection Integration, which includes:
    • SegmindLoggerHook
      • Use this Hook in your config file, and we can see the logs automatically on Segmind Platform
    • init_segmind_hook(cfg=cfg)
      • This function must be used before training.
  • Run-Tags, which includes:
    • segmind_run_name
    • segmind_run_algo_name
    • segmind_user_username
    • segmind_user_email
      • User can set any Tag, except above tags.
        from segmind.tracking import start_run
        start_run(
            run_name="My Custom Run Name",  # Optional
            run_algo_name="Linear Regression with Gradient Descent"  # Optional
        )
  • segmind config now uses API based Authentication
    segmind config --access_token=<Bearer ...>
  • segmind version displays the version installed
    segmind version
    Segmind 0.1.7

MMDetection Integration

19 Jan 18:00
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Pre-release

MMDetection Integration includes:

  1. SegmindLoggerHook
    Use this Hook in your config file, and we can see the logs automatically on Segmind Platform
  2. init_segmind_hook(cfg=cfg)
    This function must be used before training.