Source note · Updated 2026-04-25
MediaPipe PoseMediaPipe Pose / BlazePose 提供移动端友好的 3D landmarks 姿态估计。
资料来源:Google AI Edge documentation
发表 / 发布日期:2023-01-01
资料加入日期:2026-04-25
一句话结论
MediaPipe Pose / BlazePose 提供移动端友好的 3D landmarks 姿态估计。
资料定位
这是从体育机器视觉文献清单中拆出的独立来源。当前 first-pass 编译先把它放进 raw/source 证据层,后续可按重要性升级为深分析笔记。
对体育 AI 子线的价值
它支撑消费级训练 app、AR 教练和端侧推理路线。
局限或疑问
- 当前是 bibliography-driven first-pass source note,优先保证来源可追溯和方向定位。
- 重要 paper 后续应补
analysis.md、关键图页、实验设置和指标细节。
原始材料
raw/ingest/2026-04-25-mediapipe-pose/source.md
raw/ingest/2026-04-25-mediapipe-pose/paper-text.md
raw/ingest/2026-04-25-mediapipe-pose/links.yaml
相关页面
Metadata
{
"id": "2026-04-25-mediapipe-pose",
"type": "source",
"title": "MediaPipe Pose(Google AI Edge documentation):MediaPipe Pose / BlazePose 提供移动端友好的 3D landmarks 姿态估计。",
"status": "reviewed",
"created": "2026-04-25",
"updated": "2026-04-25",
"venue": "Google AI Edge documentation",
"published_at": "2023-01-01",
"ingested_at": "2026-04-25",
"tags": [
"near-cvpr-2025",
"video-understanding",
"secondary-source"
],
"note_status": "reviewed",
"source_type": "repository",
"authors": [],
"canonical_links": [
"https://github.com/google-ai-edge/mediapipe/blob/master/docs/solutions/pose.md"
],
"raw_entry": "raw/ingest/2026-04-25-mediapipe-pose/",
"topics": [
"topics/sports-ai-video-understanding",
"topics/sports-ai-roadmap",
"topics/video-understanding"
],
"entities": [
"entities/sportsmot"
],
"claims": [],
"questions": []
}