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DeeJanuzandClaude Opus 5.5
499035216c
- Programs: ft-camd (the camera broker), ft-hands (the tracker), and ft-handreplay and ft-ringplay for recordings, built by hands/build.sh into hands/build/ with one Makefile. The first build fetches ncnn at frame-hands' pinned tag and builds it with the same options. - ft-camd gets its privileges from file capabilities (CAP_SYS_PTRACE, CAP_PERFMON, CAP_DAC_READ_SEARCH) that hands/run.sh install sets with sudo, and drops them once set up. It still works under sudo. It runs on the host, linked statically, as frametop-camd.service. ft-hands runs in the dev container as frametop-hands.service. Both start and stop with SteamVR. - Files move to /run/user/UID/frametop/ (cam-ring, hands, gestures), not $XDG_RUNTIME_DIR, which a terminal in the Frametop desktop has its own of. SIGUSR1 recordings go to ~/.local/share/frametop/hands. - The calibration is read through /run/host in the container. - Settings: HANDS_SWAP_SIDES and HANDS_CPUS in frametop.conf. - install.sh offers hand tracking as an optional last step. - The container gets jsoncpp-devel, glibc-static, and NumPy and OpenCV for the Python tools. - tools/ring.py reads the ring, and models/NOTICE credits the Apache-2.0 models. Checked: ft-handreplay gives identical summaries and byte-identical depth dumps to frame-hands' fh-replay on both 2026-09-29 recordings. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
13 lines
709 B
Plaintext
13 lines
709 B
Plaintext
The models in ncnn/ are converted from the OpenCV Zoo ONNX ports of Google's MediaPipe hand
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models, by tools/convert_models.py:
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- palm.ncnn.*: palm_detection_mediapipe_2023feb (https://huggingface.co/opencv/palm_detection_mediapipe)
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- hand.ncnn.*: handpose_estimation_mediapipe_2023feb (https://huggingface.co/opencv/handpose_estimation_mediapipe)
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MediaPipe is Copyright Google LLC. The models and the OpenCV Zoo ports are licensed under the
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Apache License, Version 2.0 (https://www.apache.org/licenses/LICENSE-2.0).
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Changes made here: converted to ncnn with pnnx, with the palm detector's channel pads
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rewritten as ncnn Padding layers, and quantized to 8 bits (the *-int8.ncnn.* files) with
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ncnn's tools.
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