README.md — this overview of the root-level example entry points
app_paths.py — path helpers used by the packaged / frozen dashboard entry point
basic_pipeline.py — basic single-sensor OpenCV demo for the compound-eye pipeline
plot_data.py — single-sensor demo with OpenCV views plus PyQtGraph force charts
two_sensor_pipeline.py — two-sensor multiprocessing demo for parallel acquisition / display
finger_pipeline.py — minimal finger UV-unroll pipeline with optional profiling
finger_pipeline_3dview.py — main finger dashboard entry point with the unified Qt UI

Typical Usage

For the Qt dashboard:

pip install -e ".[gui]"
python examples/finger_pipeline_3dview.py --video 0 --config ./config/dd02-ov.json

For the minimal finger pipeline:

python examples/finger_pipeline.py --camera_id 0 --config ./config/dd02-ov.json

For the minimal finger pipeline with profiling:

python examples/finger_pipeline.py --camera_id 0 --config ./config/dd02-ov.json --profile --profile-every 30

For a video-file finger run:

python examples/finger_pipeline.py --video ./data/sample.mp4 --config ./config/dd02-ov.json

For the basic compound-eye pipeline:

python examples/basic_pipeline.py -v 0 -c ./config/ddjx01.json

Requirements

Qt / PyQtGraph examples additionally require:

pip install -e ".[gui]"

finger_pipeline_3dview.py is the main interactive demo. It uses app_paths.py so the same entry point works in editable and packaged runs.
Dashboard controls: click 启动 to start acquisition; Q quits, R resets, S starts recording, E stops recording, and Esc toggles fullscreen.
finger_pipeline.py is the leanest finger example if you want to validate UV unroll + force/contact processing without the full dashboard.
finger_pipeline.py uses orisys.finger.FingerRuntime as the high-level entry point, then runs tactile analysis through runtime.tactile.
In --profile mode, the example splits the loop into capture, UV unroll, deformation, contact, and display stages so you can measure each step separately.