davisking/dlib

shape_predictor: allow dpoint as training input

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#2,183 opened on Sep 18, 2020

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enhancementhelp wanted

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Description

Currently, the shape predictor training example showcases how to provide training and test data using integer coordinates.

Hoever, I would like to train a shape predictor using float coordinate pairs. I hope to gain increased precision by doing so. Since the shape predictor is also giving float numbers as output, I would assume that this should be possible.

However, there is no documentation to be found on the input format.

I'm happy to extend the documentation as soon as I know how this works.

Contributor guide

Research direction
Examine how the shape predictor training data is parsed from XML. The current code expects integer coordinates; modify it to accept floating point points (dpoint). Look at the training example and the relevant C++ source files for parsing.
Tech stack
cpp
Domain
ai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
C++dlib
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60