Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
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Atsushi Iida | AI Motion Analysis | Pose Estimation: RTMPose (OpenMMLab/MMPose) Person Detection: RTMDet (OpenMMLab/MMDetection) Framework: PyTorch + OpenCV Climbing... | Instagram
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Instagramoreshihon.atsushi.iida
Atsushi Iida | AI Motion Analysis | [New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics... | Instagram
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Instagramoreshihon.atsushi.iida
Atsushi Iida | AI Motion Analysis on Instagram: "[New Feature] Real-time Body Load Analysis for Climbing using AI & Physics Engine 🧗‍♂️ Combined pose estimation AI with a biomechanics model to visualize physical load on the body during climbing. — 🤖 Tech Stack Pose Estimation RTMPose (133-point keypoint detection)High-precision tracking down to fingertips and toes Contact Detection Velocity-based contact detection algorithmOnly stationary limbs are recognized as support pointsAirborne limbs ar
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Instagramoreshihon.atsushi.iida
飯田 篤 on Instagram: "3Dビュー機能・3D平滑化・コーチング機能追加版 Pose Estimation: RTMPose / RTMW3D (OpenMMLab/MMPose) Person Detection: RTMDet (OpenMMLab/MMDetection) Framework: PyTorch + OpenCV Climbing Analysis: —keypoint-mode climbing - Climbing-specific mode (127 keypoints, including fingertips) —show-grip-type - Display grip type (crimp, open hand, etc.) —detect-holds - Auto-detect holds on the wall —highlight-route-holds - Highlight holds matching the route color —hide-hold-boxes - Hide detection boxes (show
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飯田 篤 on Instagram: "3Dビュー機能・3D平滑化・コーチング機能追 …
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Instagramoreshihon.atsushi.iida
飯田 篤 on Instagram: "Pose Estimation: RTMPose (OpenMMLab/MMPose) Person Detection: RTMDet (OpenMMLab/MMDetection) Framework: PyTorch + OpenCV Climbing Analysis: —keypoint-mode climbing - Climbing-specific mode (127 keypoints, including fingertips)—show-grip-type - Display grip type (crimp, open hand, etc.)—detect-holds - Auto-detect holds on the wall—highlight-route-holds - Highlight holds matching the route color—hide-hold-boxes - Hide detection boxes (show circles only) Motion Analysis: —show-r
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Instagramoreshihon.atsushi.iida
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