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Optimizing Sports Data Analysis with IoT: A Case Study of ReSpo.Vision
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 中间件、SDK 和库
适用行业
- 设备与机械
- 石油和天然气
适用功能
- 质量保证
用例
- 计算机视觉
- 视觉质量检测
服务
- 测试与认证
- 培训
挑战
ReSpo.Vision 在大规模管理和调试大量管道方面面临挑战。他们努力解决调试问题、跟踪管道结果以及重现成功的实验。
关于客户
ReSpo.Vision 是一家在体育数据分析中使用计算机视觉和机器学习的公司。他们向足球行业的球员、球探、经理、俱乐部和联合会提供从单视图摄像机体育广播视频中提取的 3D 数据。
解决方案
该团队实施了 Neptune，这是一个与现有框架 Kedro 集成的工具。 Neptune 提供了一个集中平台，用于管理管道运行、调试错误和比较结果。它还提供直观的 UI，用于向非技术利益相关者报告管道质量并监控计算使用情况。
运营影响
相关案例.
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