ntnda-qt-viewer
A lightweight Qt-based live image viewer for EPICS NTNDArray PVs, built on pyqtgraph and p4p.
Features
- Live streaming from any NTNDArray PVAccess channel
- Decoding of compressed NTNDArray payloads using Python codec libraries
- Supports 8–64 bit signed/unsigned integers and 32/64-bit floats
- Draggable crosshair lines with linked horizontal and vertical pixel profile plots
- Scroll-wheel zoom, right-drag zoom-to-rectangle, double-click to reset
- Bottom ROI controls bar with per-ROI Set button and Enable checkbox
- Set mode initializes ROI from a right-drag rectangle and then auto-exits
- Live pixel readout (x, y, value) under the cursor
- Connection status indicator and framerate display
Installation
pip install ntnda-qt-viewer
A Qt backend is also required. Install one via the gui dependency group or
separately:
pip install PySide6
To support compressed NTNDArray codecs (zlib, blosc, lz4/lz4hdf5, bslz4, jpeg) install optional codec dependencies:
pip install "ntnda-qt-viewer[codecs]"
Usage
Launch from the command line with an optional top-level prefix:
ntnda-qt-viewer
ntnda-qt-viewer DEV:XSPD1: --pva-suffix Pva1:
ntnda-qt-viewer DEV:XSPD1: --roi-suffixes ROI1: ROI2: ROI3: ROI4:
Image PV is formed as <prefix><pva-suffix>Image.
ROI PVs are written as <prefix><roi-suffix>{MinX,MinY,SizeX,SizeY}.
Or embed the widget in your own Qt application:
from ntnda_qt_viewer import NTNDViewerWidget
widget = NTNDViewerWidget(
prefix="DEV:XSPD1:",
pva_suffix="Pva1:",
roi_suffixes=["ROI1:", "ROI2:", "ROI3:", "ROI4:"],
)
widget.show()
Development
This project uses pixi for environment management:
pixi install
pixi run lint
pixi run test
Environments for Python 3.11–3.14 are available (py311, py312, py313,
py314).
License
BSD 3-Clause. See LICENSE for details.
1 maintainer
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