History

1.2.3 (2018-08-21)

• You can now pass model="small" to face_landmarks() to use the 5-point face model instead of the 68-point model.
• Now officially supporting Python 3.7
• New example of using this library in a Jupyter Notebook

1.2.2 (2018-04-02)

• Added the face_detection CLI command
• Removed dependencies on scipy to make installation easier
• Cleaned up KNN example and fixed a bug with drawing fonts to label detected faces in the demo

1.2.1 (2018-02-01)

• Fixed version numbering inside of module code.

1.2.0 (2018-02-01)

• Fixed a bug where batch size parameter didn't work correctly when doing batch face detections on GPU.
• Updated OpenCV examples to do proper BGR -> RGB conversion
• Updated webcam examples to avoid common mistakes and reduce support questions
• Added a KNN classification example
• Added an example of automatically blurring faces in images or videos
• Updated Dockerfile example to use dlib v19.9 which removes the boost dependency.

1.1.0 (2017-09-23)

• Will use dlib's 5-point face pose estimator when possible for speed (instead of 68-point face pose esimator)
• dlib v19.7 is now the minimum required version
• face_recognition_models v0.3.0 is now the minimum required version

1.0.0 (2017-08-29)

• Added support for dlib's CNN face detection model via model="cnn" parameter on face detecion call
• Added support for GPU batched face detections using dlib's CNN face detector model
• Added find_faces_in_picture_cnn.py to examples
• Added find_faces_in_batches.py to examples
• Added face_rec_from_video_file.py to examples
• dlib v19.5 is now the minimum required version
• face_recognition_models v0.2.0 is now the minimum required version

0.2.2 (2017-07-07)

• Added --show-distance to cli
• Fixed a bug where --tolerance was ignored in cli if testing a single image
• Added benchmark.py to examples

0.2.1 (2017-07-03)

• Added --tolerance to cli

0.2.0 (2017-06-03)

• The CLI can now take advantage of multiple CPUs. Just pass in the -cpus X parameter where X is the number of CPUs to use.
• Added face_distance.py example
• Improved CLI tests to actually test the CLI functionality
• Updated facerec_on_raspberry_pi.py to capture in rgb (not bgr) format.

0.1.14 (2017-04-22)

• Fixed a ValueError crash when using the CLI on Python 2.7

0.1.13 (2017-04-20)

• Raspberry Pi support.

0.1.12 (2017-04-13)

• Fixed: Face landmarks wasn't returning all chin points.

0.1.11 (2017-03-30)

• Fixed a minor bug in the command-line interface.

0.1.10 (2017-03-21)

• Minor pref improvements with face comparisons.
• Test updates.

0.1.9 (2017-03-16)

• Fix minimum scipy version required.

0.1.8 (2017-03-16)

• Fix missing Pillow dependency.

0.1.7 (2017-03-13)

• First working release.