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Releases: fedyacpp/BlumClicker

v2.1.0 β

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@fedyacpp fedyacpp released this 19 Mar 16:13
fffa98f

Refactor main.py for improved structure and localization support; I suggest you delete settings.json file to avoid any possible conflicts; I'm hella tired

Full Changelog: v2.0.0...v2.1.0beta

v2.0.0

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@fedyacpp fedyacpp released this 27 Feb 18:27
466f1cf

Full Changelog: v1.0.8...v2.0.0

v1.0.8

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@fedyacpp fedyacpp released this 12 Jan 11:40
e8f1539

UX update
Full Changelog: v1.0.7...v1.0.8

v1.0.7

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@fedyacpp fedyacpp released this 29 Sep 17:38
8250ebb

just fixed any bugs and optimized everything i wanted, that's all

v1.0.6

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@fedyacpp fedyacpp released this 05 Jul 12:44
7b2ac18
  • Opening settings window logic update
  • Click on all bombs option
  • Updated dataset - redownload weights

v1.0.5

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@fedyacpp fedyacpp released this 23 Jun 13:51
  • Full settings logic and ui rework
  • Code rewrite and refactor

v1.0.4

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@fedyacpp fedyacpp released this 20 Jun 14:07
81fd2b1

Basically no new features, but update to YOLOv8

v1.0.3

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@fedyacpp fedyacpp released this 07 Jun 14:26

User Settings Persistence and Enhanced CNN Model:

  • Implemented feature to save user settings to a file for improved user experience and convenience.
  • Updated the dataset for the CNN model, enhancing click accuracy and performance.
  • Continued minor code refactoring to enhance codebase readability and maintainability.

v1.0.2

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@fedyacpp fedyacpp released this 06 Jun 12:40

Code Refactoring and Delay Customization:

  • Performed minor code refactoring for improved readability and maintainability.
  • Added settings for customizing DELAY_BETWEEN_CLICKS and DELAY_BEFORE_CLICK values right in program. Users can now fine-tune the delay between and before clicks according to their needs.

v1.0.1

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@fedyacpp fedyacpp released this 04 Jun 17:07
9390aed

Key Changes:

  • Enhanced Object Detection:
    • Updated the YOLOv5 model training dataset with new examples, further boosting accuracy and reducing false positives.
    • Implemented a secondary validation layer to prevent misidentified bomb clicks + increased confidience threshold. This slightly reduces the chance of accidental clicks on incorrect targets, but does not make it equal to zero.

Link for model weights updated. Validation predict batch of the model linked below