Face Tagger v1.0.3

🚀 Features:

• 🐍 Minimum Python Version Update: The minimum required Python version has been updated to ensure compatibility and performance.

🔧 Improvements:

• 📑 README Fixes: Corrected the wrong sample codes provided in the README.md to enhance clarity and accuracy for users.

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🔗 View on PyPI: Face Tagger v1.0.3

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🙌 We are constantly working to improve Face Tagger. Your feedback is invaluable! For any issues or feature requests, please drop them in our issue tracker.

Face Tagger v1.0.2

🐛 Fixes:

• 🧩 Package Resolution: Addressed and resolved an error where the src package couldn't be found in the Face Tagger.

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🔗 View on PyPI: Face Tagger v1.0.2

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🙌 We are constantly working to improve Face Tagger. Your feedback is invaluable! For any issues or feature requests, please drop them in our issue tracker.

Face Tagger v1.0.1

🚀 Features:

• 📁 Load Image Functions: We have introduced new functions to facilitate and streamline the process of loading images into the application.

• 📑 Documentation Update: The Usage section in our README.md has been updated to provide clearer and more comprehensive instructions for users.

🔧 Improvements:

• 🛠️ Dependency Management Overhaul: In a step to modernize and simplify our project setup, we've removed the setup.py file and migrated our dependencies into pyproject.toml.

• 🐛 Fixes: Addressed and fixed an incorrect definition in pyproject.toml.

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🔗 View on PyPI: Face Tagger v1.0.1

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🙌 We appreciate the community's feedback and contributions! Please report any issues or feature requests on our issue tracker.

Face Tagger v1.0.0

🚀 Features:

• Core Logic for Image Classification: Introducing the primary function of Face Tagger, where images can now be classified based on the faces detected in them.

• Documentation: We have updated the README.md to reflect the changes and provide clearer instructions for users.

🔧 Improvements:

• 🧪 Testing: To ensure our library's robustness, we have added both unit tests for individual classes and end-to-end (E2E) tests for the entire library.

• 📦 Setup and Dependency Management: With an updated requirements.txt, users can now easily recognize the necessary dependencies. Moreover, we've added a setup.py file that auto-installs these dependencies, simplifying the setup process.

📚 Other Updates:

• For those looking to contribute or integrate, we recommend setting up python and installing pytest before testing, as mentioned in the updated instructions.

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🔗 View on PyPI: Face Tagger v1.0.0

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🙌 We appreciate the community's feedback and contributions! Please report any issues or feature requests on our issue tracker.