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
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
Added --show-distance to cli
Fixed a bug where --tolerance was ignored in cli if testing a single image
Added benchmark.py to examples
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.
Fixed a ValueError crash when using the CLI on Python 2.7
Fixed: Face landmarks wasn't returning all chin points.
Fixed a minor bug in the command-line interface.
Minor pref improvements with face comparisons.
Test updates.
Fix minimum scipy version required.
Fix missing Pillow dependency.
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