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Tracking:
- Add "template" mode (default) using snapshot + shape-masked matchTemplate
- Add "csrt" mode as alternative for texture-rich targets
- set_roi_rect(x, y, w, h, frame_rgb) initialises from exact selection rect
- set_roi() delegates to set_roi_rect (centred square, backwards-compat)
- start() accepts resolution=(w, h) to set camera capture resolution
Selection UX:
- Replace QLabel feed with FrameSelector widget (custom QWidget)
- "Click to Track" freezes frame; user scrolls to zoom (anchored to cursor),
right-drags to pan, left-drags to draw rubber-band selection
- Shape preview: rectangle or inscribed ellipse depending on mode
- "Confirm Selection" extracts template from frozen frame and starts tracking
- "Clear" cancels selection or clears active tracking
Configuration:
- CameraPanel adds Resolution combo (Default / 640×480 / 720p / 1080p / 1440p)
- CameraDevice stores and forwards resolution to tracker.start()
- Template Match listed first in Mode combo; shape combo hidden for CSRT
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Replace camera index spinbox with a combo listing detected cameras by
name. On Linux enumerates /dev/video* and reads device names from sysfs
(fast, no probing). Fallback probes cv2.VideoCapture indices 0-7 on
other platforms. Simulation entry always appended as last option.
Also adds explicit simulation mode (index -1) to tracker.start() and a
rescan button (⟳) in both the main window and the Settings > Plugins
widget.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Tracks a user-selected point via webcam (OpenCV CSRT tracker) and
streams x_pos / y_pos pixel coordinates as live channels into the
acquisition pipeline. Falls back to a Lissajous figure simulation
when opencv-python is not installed, so the plugin works immediately
without hardware.
- tracker.py: background thread, real camera + sim modes, thread-safe API
- device.py: BaseDevice reading x/y from tracker, wires into engine
- filter.py: custom pixel_to_mm filter (registered in FILTER_CLASSES)
- window.py: floating tool window, live feed, click-to-track ROI selection
- plugin.py: LabPlugin wiring all pieces together, toolbar button,
settings widget, profile save/restore
Also: PluginAction.button_ref_callback lets plugins store a ref to their
toolbar button so they can uncheck it when their window closes.
opencv-python install note added to requirements.txt.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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