139 lines
3.3 KiB
ReStructuredText
139 lines
3.3 KiB
ReStructuredText
History
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=======
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1.4.0 (2020-09-26)
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* Dropping support for Python 2.x
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* --upsample a parameter for command line face_recognition
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1.3.0 (2020-02-20)
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* Drop support for Python 3.4 and add 3.8
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* Blink detection example
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1.2.3 (2018-08-21)
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* You can now pass model="small" to face_landmarks() to use the 5-point face model instead of the 68-point model.
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* Now officially supporting Python 3.7
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* New example of using this library in a Jupyter Notebook
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1.2.2 (2018-04-02)
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* Added the face_detection CLI command
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* Removed dependencies on scipy to make installation easier
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* Cleaned up KNN example and fixed a bug with drawing fonts to label detected faces in the demo
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1.2.1 (2018-02-01)
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* Fixed version numbering inside of module code.
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1.2.0 (2018-02-01)
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* Fixed a bug where batch size parameter didn't work correctly when doing batch face detections on GPU.
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* Updated OpenCV examples to do proper BGR -> RGB conversion
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* Updated webcam examples to avoid common mistakes and reduce support questions
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* Added a KNN classification example
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* Added an example of automatically blurring faces in images or videos
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* Updated Dockerfile example to use dlib v19.9 which removes the boost dependency.
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1.1.0 (2017-09-23)
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* Will use dlib's 5-point face pose estimator when possible for speed (instead of 68-point face pose esimator)
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* dlib v19.7 is now the minimum required version
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* face_recognition_models v0.3.0 is now the minimum required version
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1.0.0 (2017-08-29)
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* Added support for dlib's CNN face detection model via model="cnn" parameter on face detecion call
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* Added support for GPU batched face detections using dlib's CNN face detector model
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* Added find_faces_in_picture_cnn.py to examples
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* Added find_faces_in_batches.py to examples
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* Added face_rec_from_video_file.py to examples
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* dlib v19.5 is now the minimum required version
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* face_recognition_models v0.2.0 is now the minimum required version
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0.2.2 (2017-07-07)
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* Added --show-distance to cli
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* Fixed a bug where --tolerance was ignored in cli if testing a single image
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* Added benchmark.py to examples
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0.2.1 (2017-07-03)
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* Added --tolerance to cli
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0.2.0 (2017-06-03)
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* 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.
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* Added face_distance.py example
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* Improved CLI tests to actually test the CLI functionality
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* Updated facerec_on_raspberry_pi.py to capture in rgb (not bgr) format.
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0.1.14 (2017-04-22)
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* Fixed a ValueError crash when using the CLI on Python 2.7
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0.1.13 (2017-04-20)
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* Raspberry Pi support.
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0.1.12 (2017-04-13)
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* Fixed: Face landmarks wasn't returning all chin points.
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0.1.11 (2017-03-30)
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* Fixed a minor bug in the command-line interface.
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0.1.10 (2017-03-21)
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* Minor pref improvements with face comparisons.
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* Test updates.
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0.1.9 (2017-03-16)
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* Fix minimum scipy version required.
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0.1.8 (2017-03-16)
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* Fix missing Pillow dependency.
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0.1.7 (2017-03-13)
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* First working release.
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