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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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get_toolbar_actions() returns a checkable 🎥 button. On click:
- 0 camera devices → info message, button unchecks
- 1 camera device → opens MotionCaptureWindow directly
- N camera devices → QInputDialog picker, opens selected device's window
Windows tracked per device_id; closing a window removes it from the
map and unchecks the button when none remain. on_unload closes all
open windows before deregistering the Camera panel.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Plugin now registers a "Camera" option in the Add Device dialog on load
(removes it on unload) instead of auto-creating a single device.
- camera_panel.py (new): CameraPanel with CameraScanThread that probes
OpenCV indices 0–5, lists found cameras with resolution, shows
"No cameras detected" when none available, simulation checkbox.
build_device() returns CameraDevice for the selected index.
- device.py: rewrite MotionCaptureDevice → CameraDevice. Each instance
owns its own CameraTracker created in connect(). Status is CONNECTED
or SIMULATED based on tracker.simulated. get_config_widget() shows
source/status and an "Open Camera View" button that launches the
existing MotionCaptureWindow for that device's tracker. Backward-compat
alias MotionCaptureDevice = CameraDevice kept for saved profiles.
- plugin.py: simplified to on_load/_PANELS registration + pixel_to_mm
filter. No auto-devices, no toolbar button, no settings widget.
Camera data flows through the standard Device → Signal → Channel → Plot
pipeline like any other device.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- Add missing QGroupBox import to settings_window (caused silent crash on open)
- Remove Controls tab and _controls_tab() method from settings
- Clamp child window positions to screen bounds so they don't go off-screen on Windows when main window is maximized
- Apply same screen-clamp fix to Motion Capture plugin window
- Delete example plugin; disable it in enabled.json
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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Plugins live in plugins/<name>/ with a manifest.json and a LabPlugin
subclass. Enabled/disabled in Settings > Plugins tab; state persists in
plugins/enabled.json and in .labdaq profiles (loading a profile
enables/disables plugins to match). Plugins can contribute toolbar
buttons, BaseDevice instances (auto-wired into acquisition pipeline),
custom signal filter classes, a settings widget, and profile state via
get_save_state/apply_save_state. Load errors now report the exact
failing stage (file not found, class missing, on_load crash).
Includes example plugin skeleton and docs/plugin-development.md.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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