davisking/dlib

shape_predictor: allow dpoint as training input

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#2,183 opened on Sep 18, 2020

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 (10 comments) (0 reactions) (0 assignees)C++ (12,570 stars) (3,314 forks)batch import
enhancementhelp wanted

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

Tech stack
cpp
Domain
machine learning
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.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Basic knowledge of dlib shape predictorC++ programmingUnderstanding of training data format
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Examine the shape predictor training code in dlib, particularly the data loading functions in files like shape predictor trainer.h. Check if the training example XML format supports float coordinates. Look at comments in the issue for any suggestions or partial solutions. Determine the necessary changes to accept dpoint inputs and update documentation accordingly.
shape_predictor: allow dpoint as training input · davisking/dlib#2183 | Good First Issue