A utility to load facial landmark information from the dataset

[imagesPaths, landmarks, success] = cv.Facemark.loadTrainingData1(imagesList, annotationsList)
[...] = cv.Facemark.loadTrainingData1(..., 'OptionName',optionValue, ...)

Input

• imagesList A file contains the list of image filenames in the training dataset.
• annotationsList A file contains the list of filenames where the ground-truth landmarks points information are stored. The content in each file should follow the standard format (see cv.Facemark.loadFacePoints).

Output

• imagesPaths A cell-aray where each element represent the filename of image in the dataset. Images are not loaded by default to save memory.
• landmarks The loaded landmark points for all training data {{[x,y], ...}, ...}.
• success success flag.

Options

• Offset An offset value to adjust the loaded points. default 0.0

The same dataset format described in cv.Facemark.loadDatasetList function. However this function directly loads the annotation data instead of only returning their file paths.