NaturalIntelligence/imglab

Exporting data in YOLO format

Open

#83 创建于 2018年8月21日

在 GitHub 查看
 (17 评论) (0 反应) (0 负责人)HTML (930 star) (560 fork)batch import
enhancementfirst-timers-onlygood first issuehelp wanted

描述

This feature is suitable for first-timers. But can be picked by any contributor.

Currently imglab supports exporting labelled data in Pascal VOC, COCO format. We want to let users export data in YOLO format as well.

target folder : data formaters

Please check how export feature is implemented for other formats in data formaters

Watch for changes, or Bookmark for easy discovery. Fund this project for new features and maintenance. [Showcase] your project with us by raising an issue

Want to back this issue? Post a bounty on it! We accept bounties via Bountysource.

贡献者指南

技术栈
javascripthtml
领域
datatooling
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。
clear
前置要求
basic JavaScriptunderstanding of YOLO 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。
80
研究方向
The issue is about adding YOLO format export to imglab. Start by examining the existing export implementations in the 'data formaters' folder (https://github.com/NaturalIntelligence/imglab/blob/master/dataformaters). Understand how Pascal VOC and COCO exports are structured, then implement a similar module for YOLO. The YOLO format uses normalized coordinates. Check issue comments for any additional guidance.