Deepface

We're excited to introduce some fantastic updates in this release! Here's what's new:

📏 *Custom Threshold Support*: With [PR-1223](https://github.com/serengil/deepface/pull/1223), we've enhanced the verify method to support an optional threshold parameter. Now, you can tailor the verification process to your needs for stricter or more lenient results.

📚 *Enhanced Documentation*: Thanks to [PR-1224](https://github.com/serengil/deepface/pull/1224), you'll find the latest publication mentioned in the README. Additionally, experiment results are conveniently shared in the benchmarks folder for your reference.

🖼️ *Improved Functionality*: We've fixed a bug in the represent function ([PR-1225](https://github.com/serengil/deepface/pull/1225)) where face regions were inaccurately returned if detection was skipped. Now, you can expect more reliable results.

📝 *License Inclusion*: [PR-1225](https://github.com/serengil/deepface/pull/1225) addresses a missing license in the pip package, ensuring compliance and transparency.

🔧 *Issue Templates*: To streamline communication and issue tracking, we've created issue templates with [PR-1203](https://github.com/serengil/deepface/pull/1203). Now, reporting and addressing concerns is easier than ever before.

Thank you for your continued support and feedback! Download DeepFace v0.0.91 now to enjoy these enhancements and more. Happy coding! 🤖✨

Package

- https://pypi.org/project/deepface/0.0.91/

🛠️ Enforcing TF 2.12 or earlier is necessary if you intend to utilize the DeepFace model. Additionally, the LocallyConnected2D dependency isn't imported by default as it's unavailable post TF 2.12. - https://github.com/serengil/deepface/pull/1134

🌟 Release Notes: Enhancements & Fixes 🌟

🎯 All detectors now return a confidence score between 0 and 1 (https://github.com/serengil/deepface/pull/1041)

📏 Fixed the "expand facial area" logic – it was doubling the expand_percentage for width and height instead of applying it correctly. Now, it's just right. (https://github.com/serengil/deepface/pull/1047)

🔄 Ensured rotation angles are now nicely constrained within a [0, 360) range, keeping things in a perfect circle. (https://github.com/serengil/deepface/pull/1047)

🚫💬 Added meaningful error messages for when a face can't be detected for a given a numpy array or base64 encoded image. (https://github.com/serengil/deepface/pull/1059)

🚀 Optimized the verify function to avoid unnecessary recalculations of embeddings when multiple faces are detected in one of the image pairs. (https://github.com/serengil/deepface/pull/1059)

🌐 Loading images from web if and only if given image is really link, discarding files with name starting with http prefix (https://github.com/serengil/deepface/pull/1059)

🔍 In the find function, we're now checking the type of base64 encoded images to ensure compatibility with jpg, jpeg, and png formats. (https://github.com/serengil/deepface/pull/1059)

🚨 The fastmtcnn detector has been fixed to gracefully handle cases where no face is detected. (https://github.com/serengil/deepface/pull/1059)

🔄 Verify function now gracefully accepts pre-calculated embeddings as inputs. (https://github.com/serengil/deepface/pull/1072)

📊 We're now including column names in the output pickle files of the file function for that extra clarity and convenience. (https://github.com/serengil/deepface/pull/1072)

🔍📁 In find function, we are now tracking replaced files in a folder (https://github.com/serengil/deepface/pull/1072, https://github.com/serengil/deepface/pull/1074)

🛠️ Updated GitHub Actions configuration to wave goodbye to those pesky warnings. Smooth sailing ahead! (https://github.com/serengil/deepface/pull/1082)

🤖 We now check the TensorFlow version in DeepFace model to avoid issues with LocallyConnected2D not being supported after tf 2.12. Ensuring smooth imports and no surprises! (https://github.com/serengil/deepface/pull/1083)