twxtools 0.1.0

Interactive image and video sequence viewer

twxtools

twxtools is an interactive image and video sequence viewer built on top of matplotlib. It provides a convenient twx() function for quickly displaying, comparing, and navigating through images and video sequences in Python.

Features

• Display single images or compare multiple images side-by-side
• Navigate video sequences frame-by-frame with keyboard shortcuts
• Automatic intensity range detection (with optional percentile clipping)
• Support for grayscale and RGB data
• Flexible data layout modes: HW, HWC, CHW, NHW, NHWC, NCHW
• Interactive colormap switching
• Accepts NumPy arrays, lists, tuples, or dicts

Installation

pip install twxtools

Quick Start

import numpy as np
from twxtools import twx

# Display a single grayscale image
img = np.random.rand(256, 256)
twx(img)

# Compare two images
img1 = np.random.rand(256, 256)
img2 = np.random.rand(256, 256)
twx([img1, img2])

# Display a grayscale video sequence (N x H x W)
video = np.random.rand(30, 256, 256)
twx(video)

# Use a dict to label images automatically
twx({'original': img1, 'processed': img2})

API Reference

twx(data, dataRange=[], cmap='gray', mode=None, titles=None)

Parameters:

Parameter	Type	Description
data	ndarray, list, tuple, or dict	Image(s) or video sequence(s) to display. Each item can be a NumPy array of up to 4 dimensions.
dataRange	list	Intensity range(s) for display. See details below.
cmap	str	Colormap for grayscale data (default: 'gray'). Ignored for RGB data.
mode	str or None	Dimension layout of the input data. Auto-detected if None.
titles	list of str or None	Labels for each input. Auto-generated as '1', '2', … if not provided. When data is a dict, keys are used as titles.

dataRange options

• [] — use [min(data), max(data)]
• [P] — use [percentile(data, P), percentile(data, 100-P)]
• [low, high] — use the given fixed range

mode options

Mode	Shape	Description
'HW'	H × W	Grayscale image
'HWC'	H × W × C	RGB image (channels last)
'CHW'	C × H × W	RGB image (channels first)
'NHW'	N × H × W	Grayscale video sequence
'NHWC'	N × H × W × C	RGB video sequence (channels last)
'NCHW'	N × C × H × W	RGB video sequence (channels first)

If mode is not provided, it is auto-detected from the array shape.

Keyboard Controls

Key	Action
1–9, 0	Switch to the corresponding input (1–10)
↑ / ↓	Previous / next frame in a video
a	Toggle colorbar
m	Cycle through colormaps

Requirements

• Python ≥ 3.8
• numpy
• matplotlib

License

MIT