Extracts the data for training from .txt files which contains the corresponding image name and landmarks

[imagesPaths, landmarks, success] = cv.Facemark.loadTrainingData3(filenames)

Input

• filenames A cell-array of strings containing names of the text files.

Output

• imagesPaths A cell-array of strings which stores the filenames of images whose landmarks are tracked.
• landmarks A cell-array of cell-array of points that would store shape or landmarks of all images {{[x,y],...}, ...}.
• success success flag. It returns true when it reads the data successfully and false otherwise.

An alternative dataset format. Similar to the one described in cv.Facemark.loadTrainingData2, but with separate files for each sample.

The training data consists of |.txt| files whose first line contains the image name, followed by the annotations. Example:

/path/to/image1.jpg 565.86 , 758.98 564.27 , 781.14 ...