davisking/dlib

shape_predictor: allow dpoint as training input

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#2,183 创建于 2020年9月18日

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 (10 评论) (0 反应) (0 负责人)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.

贡献者指南

技术栈
cpp
领域
machine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Basic knowledge of dlib shape predictorC++ programmingUnderstanding of training data format
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.
shape_predictor: allow dpoint as training input · davisking/dlib#2183 | Good First Issue