Move to better face recognition models
还没有人认领这个 Issue。
评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 25/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 停滞
- 技术栈
- machine-learning
调研方向
该 issue 没有列出任何文件或测试；先审查当前的人脸识别实现以及关于未检测到的人脸的相关讨论。将现有模型与 InsightFace 的 buffalo_l 进行比较，然后在实现之前确定集成方案和准确率标准。
由索引模型根据 Issue 内容生成。
描述
Describe the feature you'd like to request
I have installed Recognize together with Memories and so far everything works: Recognize scans my images for faces and groups them together. Great!
Yesterday, just for testing, i set up an instance of immich and loaded the same photo library i have stored in my Nextcloud. Immich currently uses the buffalo_l model from InsightFace for facial recognition, and after scanning i was blown away by the accuracy: The model not only found way more pictures, it was also way better at assigning them to the right person. To give you some numbers: recognize found 706 pictures of me, immich with buffalo_l found 3780 pictures. All correctly assigned with sometimes mind-blowing accuracy.
Since the results were that good, i thought about suggesting replacing of the face recognition model, e.g. with buffalo_l or similar, to further promote Nextcloud as the main storage for photos. I am aware that this is not a one-click replacement and might require a lot of effort or additional work, but as this might also affect ongoing discussions, e.g. https://github.com/nextcloud/recognize/discussions/865 regarding undetected faces, i wanted to share my thoughts with you.
Describe the solution you'd like
Move to an improved face recognition model
Describe alternatives you've considered
--
- 主要语言
- PHP
- 星标
- 699
- 派生
- 68
- 平均合并
- 18 小时 34 分钟
- 30 天内合并 PR
- 2
环境准备
- 没有 Dockerfile 或 Docker Compose 文件
- 没有 Pull Request 模板
- 阅读贡献指南
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- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
nextcloud/recognize 的其他 Issue
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bug
难度 2/5 1-3 小时 新手友好度 72/100
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insertDeletion looks up recognize_fs_deletions by node_id alone, which no index covers — bulk removals scan the whole table per file可能已有人在做 @marcelklehr 于 6 天前认领。 未关闭bug
难度 2/5 1-3 小时 新手友好度 82/100
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enhancement
难度 3/5 1-2 天 新手友好度 65/100
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enhancement
难度 4/5 3-5 天 新手友好度 45/100
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Recognize maintenance routine unnecessarily redownloads Tensorflow CPU and GPU models every time可能重新可做 @marcelklehr 于 187 天前认领，目前没有进行中的 PR。 未关闭bug
查看 nextcloud/recognize 的全部 Issue
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