fossasia/visdom

Large scale 3D point cloud visualization pane

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#686 创建于 2019年10月28日

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 (5 评论) (0 反应) (0 负责人)Python (9,831 star) (1,152 fork)batch import
Needs Investigationenhancementhelp wanted

描述

Is your feature request related to a problem? Please describe. It will be convenient if Visdom support point cloud visualization in deep learning about 3D vision, like project using PointNet.

Describe the solution you'd like Considering large scale point cloud collected for autonomous driving or 3D reconstruction, a visualization using WebGL maybe a good choice, which supports mouse interaction.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context Add any other context or screenshots about the feature request here.

贡献者指南

技术栈
pythonjavascript
领域
frontenddata
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。
4
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。
over 1 week
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
Familiarity with WebGLUnderstanding of Visdom's architecturePython backend development3D point cloud data formats
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。
20
研究方向
Visdom's frontend uses JavaScript for rendering; investigate how existing plots are drawn (likely using Plotly or similar) and consider integrating a WebGL based library like Three.js for point cloud visualization. Review the Python backend code for data streaming and serialization, particularly the communication protocol. Additionally, check for any prior work or discussions in related issues or PRs within the repository.