49 lines
3.9 KiB
Plaintext
49 lines
3.9 KiB
Plaintext
The project was tested on Matlab 2012a and 2012b on 64 bit Windows 7 and Windows 8 machines (can't guarantee compatibility with other configurations).
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Comes prepackaged with all the necessary code and some of the data (that I'm allowed to share). You have to respect nrsfm, OpenCV and other licenses.
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You don't need to download anything additional.
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--------------------------------------- Copyright information -----------------------------------------------------------------------------
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Copyright can be found in the copyright.txt
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--------------------------------------- Code Layout -----------------------------------------------------------------------------
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//======================= Core ========================//
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./fitting - Where the actual CLM and CLNF model fitting happens
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./models - the pre-trained models for Constrained Local Neural Fields, this includes Point Distribution Model, Patch experts, landmark validation
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./CCNF - the libraries that contain CCNF functions needed for landmark detection
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//======================= Demos and experiments =======//
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./demo - contains a number of useful scripts that demonstrate the running of CLM, CLM-Z and CLNF models on videos and images
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face_image_demo - running CLNF or CLM on images of faces
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face_image_depth_demo - running CLM-Z on grayscale and range images of faces
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face_video_demo - running CLNF or CLM on videos of faces
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./experiments_iccv_300w - These are provided for recreation of some of the experiments described in the papers
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./experiments_in_the_wild - These are provided for demonstrating results on in the wild data when trained on more general training data (both Multi-PIE and in-the-wild)
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//======================= Utilities ===================//
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./face_detection - Provides utilities for face detection, possible choices between three detectors: Matlab inbuild one, Zhu and Ramanan, and Yu et al.
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./face_detection_yu - The face detector from Xiang Yu, more details in ./face_detection_yu/README.txt. Only tested on windows machines
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./face_detection_zhu - The face detector from Zhu and Ramanan, might need to compile it using ./face_detection_yu/face-release1.0-basic/compile.m
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./face_validation - A module for validating face detections (training and inference), it is used for tracking in videos so as to know when reinitialisation is needed
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./PDM_helpers - utility functions that deal with PDM fitting, Jacobians and other shape manipulations
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./bounding_box_mapping - learning the mapping from face detector bounding box to one suitable for landmark detection initialisation
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//====================== Model Training ===============//
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./pdm_generation - code for training the Point Distribution Model (PDM)
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./face_validation_svr - A module for validating face detections (training and inference), it is used for tracking in videos so as to know when reinitialisation is needed
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You can find the patch training code here - https://github.com/TadasBaltrusaitis/CCNF
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--------------------------------------- Results -----------------------------------------------------------------------------
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Results that you should expect on running the code on the publicly available datasets can be found in:
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experiments_iccv_300w/results/ - the results on landmark detection on in the wild datasets when trained on other in-the-wild data (together with results from some other baselines)
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experiments_in_the_wild/results/ - the results on landmark detection on in the wild datasets when trained on in-the-wild data and Multi-PIE data, comparing CLM and CLNF
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--------------------------------------- Final remarks -----------------------------------------------------------------------------
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I did my best to make sure that the code runs out of the box but there are always issues and I would be grateful for your understanding that this is research code and not a commercial
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level product. However, if you encounter any probles please contact me at Tadas.Baltrusaitis@cl.cam.ac.uk for any bug reports/questions/suggestions.
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