davisking/dlib

shape_predictor: allow dpoint as training input

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#2,183 建立於 2020年9月18日

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 (10 留言) (0 反應) (0 負責人)C++ (12,570 star) (3,314 fork)batch import
enhancementhelp wanted

描述

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.

貢獻者指南

技術棧
cpp
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
Basic knowledge of dlib shape predictorC++ programmingUnderstanding of training data format
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
30
研究方向
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.