21 lines
991 B
Plaintext
21 lines
991 B
Plaintext
Scripts for evaluating CE-CLM, and CLNF methods on the Menpo dataset - https://ibug.doc.ic.ac.uk/resources/2nd-facial-landmark-tracking-competition-menpo-ben/
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To run the models on the data using models trained on 300W + MultiPIE on all Menpo training data:
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- Script_CECLM_cross_data.m
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- Script_CLNF_cross_data_general.m
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To run CE-CLM model trained on 300W + MultiPIE + Menpo on menpo validation data:
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- Script CECLM_menpo_valid.m
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To visualize the results of the models against baselines (using inner face markup - 49, and full face markup - 68):
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Display_ceclm_results_49.m
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Display_ceclm_results_68.m
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To construct the error table:
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Construct_error_table.m
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For a fair comparison all the models and baselines are initialized using the bounding boxes generated by using an MTCNN face detector (https://github.com/kpzhang93/MTCNN_face_detection_alignment).
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Scripts to reproduce the CE-CLM submission to the Menpo challenge:
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Script_CECLM_menpo_test_frontal.m
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Script_CECLM_menpo_test_profile.m |