Harmonizing `mtcnn`and `tinyfaces`
The interfaces of
MTCNN has two functions:
detect (returns list of bounding boxes, probabilities, landmarks) and
annotations (returns list of annotation dictionaries).
TinyFaces has only one function:
detect(returns list of annotation dictionaries), which is the equivalent of
annotations in the MTCNN case.
Finally, MTCNN provides a
__call__ function that basically calls
annotations, which TinyFaces does not have such a function.
MTCNN.detectif this makes sense
- Update documentation
- Clearly state in the documentation that eye landmarks are estimated, provide details where they are located, and show examples.