Releases: serengil/deepface
v0.0.96
What's Changed
- store configurations in seperate folder not in main code by @serengil in #1503
- replace training.Model with Model in ArcFace by @niteshsahujhansi in #1507
- Expose AVAILABLE_MODELS from build_model. by @timohl in #1514
- Yolo 12 models added, eye detection is done in global point if not available by @serengil in #1518
- output normalization functionalities added to represent by @serengil in #1526
- encrypt module added by @serengil in #1527
New Contributors
- @niteshsahujhansi made their first contribution in #1507
- @timohl made their first contribution in #1514
Full Changelog: v0.0.95...v0.0.96
Contributors
Assets 2
v0.0.95
What's Changed
- fbdeepface's confidence metric added by @serengil in #1498
- Fix FastMtCnn detection error by @nico-hahn in #1499
- Revert flask and werkzeug dependency changes by @pcbowers in #1502
New Contributors
- @nico-hahn made their first contribution in #1499
- @pcbowers made their first contribution in #1502
Full Changelog: v0.0.94...v0.0.95
Contributors
Assets 2
v0.0.94
What's Changed
- Feat task 1708 stream overlay bug for crowded photo by @serengil in #1311
- Dataclass by @kremnik in #1317
- Represent optimizations by @Circuit8 in #1319
- Optimize ssd detector by @kremnik in #1321
- weight downloads moved to a common place by @serengil in #1325
- cast confidence to float by @serengil in #1326
- load weights is done in a common function by @serengil in #1327
- unit test for broken weight file by @serengil in #1329
- Tiny fix: changed index to label in ssd detector by @kremnik in #1330
- Improvement: check image exists first by @kremnik in #1334
- unit tests added for weight utils by @serengil in #1337
- Normalized paths in test_commons.py to make tests platform-independent by @kremnik in #1350
- Recognition find batched by @kremnik in #1351
- Feat task 0510 developments by @serengil in #1357
- all models can be downloaded with one shot by @serengil in #1358
- single and batch distance functions are stored in verify module by @serengil in #1359
- Configurable mediapipe params by @tyasnk in #1362
- min detection confidence score retrieved from env vars by @serengil in #1364
- improve Dockerfile to use entrypoint in order to get better log when … by @seavphing in #1369
- Update requirements.txt by @cobycloud in #1370
- Update Dockerfile by @mone855 in #1374
- Update image_utils.py by @sachadee in #1377
- Feat task 0911 file input for api by @serengil in #1383
- more unit tests added by @serengil in #1386
- [FEATURE]: adding yolov11 into face detection portfolio by @nriviera in #1397
- Fix: code comment correction by @dohyeonYoon in #1402
- Fix: model code comment correction by @dohyeonYoon in #1405
- Update CenterFace threshold by @mehran66 in #1407
- Improve the face alignment performance in detect_faces() by @huulockt in #1409
- fastmtcnn's coordinates casted to int by @serengil in #1411
- video path is enabled in stream by @Mehrab-Shahbazi in #1415
- pickle objects are now dumped with pickle.HIGHEST_PROTOCOL by @PyWoody in #1418
- fix small spelling error :)) by @gustavn19 in #1421
- Optimizations for deepface.recognition.find, Optimization and New Iterator Functionality in image_utils by @PyWoody in #1420
- load_image now accepts file objects that support being read by @PyWoody in #1423
- Feat/batch predict age and gender by @NatLee in #1396
- Batching on
.representto improve performance and utilize GPU in full by @galthran-wq in #1433 - post batch changes by @serengil in #1438
- Update representation.py by @dakotah-jones in #1427
- post batch changes by @serengil in #1440
- allow 0 (as integers) when using pre-calculated embeddings in verify by @jabiinfante in #1446
- added buffalo_l model to deepface by @Raghucharan16 in #1439
- Updated Readme for buffalo_l by @Raghucharan16 in #1449
- Changing of thresholds for buffalo_l by @Raghucharan16 in #1450
- Update VGGFace.py by @timselier in #1456
- feature: Add Angular Distance as a Distance Metric by @haddyadnan in #1459
- fix: typo in error message for missing pytorch by @CatBraaain in #1463
- feeding clean images to ml models by @serengil in #1470
- Update README.md by @arsaIan in #1472
- Fix AttributeError in streaming by @catherinetcai in #1475
- Diagram visualization of the deepface codebase by @ivanmilevtues in #1479
- sanitized facial landmarks, and test for facial landmark sanitizaion by @RUTUPARNk in #1484
- is_valid_landmark in test_landmark_sanitization file by @RUTUPARNk in #1485
- patched mockes' types specified by @serengil in #1487
- Pass test suite with python 3.8 by @ddaanet in #1492
- distance to confidence calculation added by @serengil in #1497
New Contributors
- @Circuit8 made their first contribution in #1319
- @tyasnk made their first contribution in #1362
- @seavphing made their first contribution in #1369
- @cobycloud made their first contribution in #1370
- @mone855 made their first contribution in #1374
- @sachadee made their first contribution in #1377
- @nriviera made their first contribution in #1397
- @dohyeonYoon made their first contribution in #1402
- @mehran66 made their first contribution in #1407
- @huulockt made their first contribution in #1409
- @Mehrab-Shahbazi made their first contribution in #1415
- @PyWoody made their first contribution in #1418
- @gustavn19 made their first contribution in #1421
- @NatLee made their first contribution in #1396
- @galthran-wq made their first contribution in #1433
- @dakotah-jones made their first contribution in #1427
- @jabiinfante made their first contribution in #1446
- @Raghucharan16 made their first contribution in #1439
- @timselier made their first contribution in #1456
- @CatBraaain made their first contribution in #1463
- @arsaIan made their first contribution in #1472
- @catherinetcai made their first contribution in #1475
- @ivanmilevtues made their first contribution in #1479
- @RUTUPARNk made their first contribution in #1484
- @ddaanet made their first contribution in #1492
Full Changelog: v0.0.93...v0.0.94
Contributors
Assets 2
v0.0.93
🚀 DeepFace v0.093 Release Notes
We’re excited to announce the latest release of DeepFace, packed with enhancements, bug fixes, and new features. Here’s what’s new in v0.093:
🌐 New Features
- CORS Enabled for All Routes: Now, CORS is enabled across all routes, enhancing cross-origin requests. (#1257)
- Face Extraction Options: Added an option to extract_faces to return faces in RGB, BGR, or Grayscale formats. More flexibility for your image processing! (#1279)
- Batch Prediction for Demography Models: We've introduced batch prediction support for demography models, speeding up the process. (#1298)
- Max Faces Argument: A new max_faces argument in represent lets you limit the number of faces processed in large images. (#1283)
🔧 Enhancements
- Image Quality Improvement: The resample argument is now set to Image.BICUBIC when rotating faces, improving the quality of low-resolution images. (#1269)
- Global Variable Management: We've centralized the management of global variables for better efficiency and maintainability. (#1296)
- Logger Class Update: The logger class is now fully Singleton, ensuring consistent logging throughout the application. (#1291)
🛠️ Refactorings
- Distance Calculation Optimization: Distance calculation functions are now more efficient, using fewer commands and leveraging numpy. (#1299)
- Detection Module Revamp: The DetectorWrapper is retired; detection is now handled directly within the detection module. (#1302)
- Model Structure Overhaul: Facial recognition, face detector, demography, and spoofing models are now organized into dedicated folders under the models directory. (#1303)
- File System Command Refactor: We’ve streamlined file system commands for better performance. (#1305)
- Facial Database Optimization: We now use set instead of list when creating the facial database, improving performance. (#1306)
- Verification Module Refactor: The verification module has been refactored to improve readability and efficiency. Previously, the same code block was run twice for an image pair; now, the logic has been moved to a subfunction, which is called separately for each image. This change simplifies the code and enhances maintainability. (#1309)
🐛 Bug Fixes
- Grayscale Face Bug Fix: Resolved an issue that occurred when returning a face in grayscale. (#1276)
- Facial Area Coordinate Bug: Fixed a bug where facial area coordinates could sometimes fall outside image borders. (#1308)
Thank you for your continued support and contributions to DeepFace! 🎉
Packages
v0.0.92
DeepFace 0.0.92 Release Notes 🎉
New Features & Improvements 🚀
-
Enhanced Find Function 🔍
Added refresh_database argument to the find function. The default value is True, but when set to False, a pickle file is used without checking for differences. (#1235) -
Version Display 📋
Package version is now shown on the API's homepage and in console logs, making it easier to track which version you're using. (#1246) -
Service Port Update 🔄
Service port moved from 5000 to 5005 to avoid conflicts with AirDrop on MacBooks. (#1246) -
Image Alignment Improvement 🖼️
When faces are close to the borders, alignment previously moved them outside the image. A border with black pixels is now added to avoid this issue. (#1247) -
Official Docker Image 🐳
Pushed the official DeepFace image to DockerHub for easier deployment and consistency. (#1249) -
Face Anti-Spoofing 🔒
Added a face anti-spoofing feature to enhance security and prevent fraudulent face inputs. (#1253)
v0.0.91
🎉 DeepFace v0.0.91 Release Notes 🚀
We're excited to introduce some fantastic updates in this release! Here's what's new:
📏 Custom Threshold Support: With PR-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, 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) where face regions were inaccurately returned if detection was skipped. Now, you can expect more reliable results.
📝 License Inclusion: PR-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. 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
v0.0.90
🚀 DeepFace 0.0.90 Release Notes
👁️ Improved Eye Detection:
-
Now utilizes dlib detector for obtaining the centers of the left and right eyes, enhancing accuracy and reliability (#1138).
-
Eye positioning is now relative to the person instead of the observer, aligning with biological standards (#1140).
💻 Enhanced Performance:
- Fast MtCnn detector now supports GPU acceleration for faster processing (#1145).
🔍 Model Correction:
- FaceNet model now correctly uses InceptionResNetV1, rectifying the mislabeling as V2 in its docstring (#1151).
🔧 Streamlined Functionality:
-
Embeddings extraction function renamed to "forward" and moved to superclass for improved modularity (#1156).
-
Improved file detection by examining content type instead of relying solely on file extension, enhancing security (#1171, #1173, #1174).
-
Separated resize functionality into representation module for better code organization (#1175).
-
Singleton pattern implemented for logger classes to optimize resource usage (#1177).
-
Introduction of CenterFace face detector to DeepFace's toolkit (#1184).
-
Consideration of additional arguments impacting embeddings during facial database creation (#1185).
-
Introduction of File Utils for improved file management (#1186).
🛠️ Bug Fixes:
- Detection post-alignment now validates projected coordinates against base image size to prevent failures due to invalid coordinates (#1191).
Package
v0.0.89
v0.0.88
🚀 DeepFace v0.0.88 Release Notes 🚀
We're thrilled to announce the latest update to DeepFace, version 0.0.88! This release brings fixes, improvements, and enhancements to ensure a smoother and more accurate facial recognition experience. Here's what's new:
✨ TensorFlow Compatibility Fix: We've addressed an issue where TensorFlow 2.16 caused trouble with DeepFace due to the default use of Keras 3. Thanks to PR-1126, this issue has been sorted out, ensuring seamless integration with the latest TensorFlow version.
👁️ Eye Coordinate Correction: In previous versions, there was a bug affecting the calculation of left and right eye coordinates, particularly for OpenCV and SSD models. While this bug didn't impact facial recognition accuracy, it led to incorrect return values. Thanks to PR-1126, this issue has been resolved, guaranteeing accurate eye coordinate calculations.
🧪 Expanded Unit Tests: We're dedicated to ensuring the reliability and stability of DeepFace. To achieve this, we've added more unit tests for the API in PR-1127 and PR-1128. These tests help validate the functionality of the API, ensuring consistent performance across different scenarios.
With these fixes and enhancements, DeepFace v0.0.88 is better equipped to deliver accurate facial recognition results while maintaining compatibility with the latest TensorFlow versions. Upgrade now to experience the improvements firsthand! 🌟
Stay tuned for more updates and improvements as we continue to evolve DeepFace to meet your needs. Thank you for your continued support and feedback! 🙌
Package
v0.0.87
🚀 DeepFace Project Release Notes - Version 0.0.87
We're excited to announce the latest updates to the DeepFace project! Here's what's new:
👻 GhostFaceNet Model Added: Introducing GhostFaceNet model to our DeepFace model portfolio! Utilize this cutting-edge addition for even more accurate and robust facial recognition capabilities. - #1111
🔧 Real-time Streaming Module Refactored: We've revamped our real-time streaming module for enhanced performance and efficiency. Enjoy smoother streaming experiences with DeepFace! - #1110
🛠️ Dependency Compatibility Fix: We've resolved an issue where importing the DeepFace model was causing exceptions due to a missing dependency after TensorFlow 2.12. Enjoy seamless integration regardless of your TensorFlow version. - #1083
📐 Improved Input Handling for Non-Keras Models: We've enhanced the input handling for facial recognition models like SFace and Dlib, ensuring consistency and ease of use across all models. Say goodbye to unnecessary complexities with retired layer.input_shape! - #1091
👀 Refactoring Fast MtCnn detector: model building simplified and bug while extracting facial area was sorted. - #1115
Upgrade now to DeepFace version 0.0.87 and unlock these exciting features and improvements! 🎉
## Package