How to Work with Graphical Timelines

TimeAxisPath, image-based timelines, and pixel-to-time conversion

How to Work with Graphical Timelines

This notebook demonstrates how to load and work with graphical timelines using the GraphicalLoader.

Graphical timelines map 2D pixel coordinates in images to 1D timeline coordinates. This is essential for: - Musical score analysis (staff systems as timelines) - Spectrograms (time on x-axis) - Graphical analytical diagrams (like Thoresen’s morphological analyses)

Key Concepts

TimeAxisPath: Abstract path defining how 1D timeline coordinates map to 2D pixels
ImageSource: Unified interface for images (files, PDFs)
GraphicalSegment: Source + path + timeline offset
GraphicalBundle: Collection of sources and segments
GraphicalLoader: Factory for building bundles

# Install dependencies if needed
# !pip install -e ".[graphical]"

import math
from pathlib import Path

from timetoalign.loader.graphical import GraphicalLoader

Example 1: Single Image with Multiple Systems

Load a musical score with multiple staff systems (horizontal lines).

# Create loader
loader = GraphicalLoader(metadata={"source": "Example Score"})

# Add the image
image_path = Path("path/to/score.png")
# idx = loader.add_image(image_path)

# For this example, we'll use mock data
# In real usage, uncomment the line above
idx = 0  # Mock source index

# Add horizontal segments for each staff system
# System 1: x from 50 to 800, y at 100
# loader.add_horizontal_segment(idx, x0=50, x1=800, y=100, name="system_1")

# System 2: x from 50 to 800, y at 250
# loader.add_horizontal_segment(idx, x0=50, x1=800, y=250, name="system_2")

# System 3: x from 50 to 800, y at 400
# loader.add_horizontal_segment(idx, x0=50, x1=800, y=400, name="system_3")

# Build the bundle
# bundle = loader.store

print("Bundle structure:")
# print(f"  Sources: {bundle.n_sources}")
# print(f"  Segments: {bundle.n_segments}")
# print(f"  Total length: {bundle.total_length} pixels")

Bundle structure:

Example 2: Coordinate Conversion

Convert between 1D timeline coordinates and 2D image coordinates.

# Timeline coordinate -> Image coordinate
# coord = 400  # 400 pixels into the timeline
# source_idx, (x, y) = bundle.timeline_to_image(coord)

# print(f"Timeline coord {coord} maps to:")
# print(f"  Source image: {source_idx}")
# print(f"  Image position: ({x:.1f}, {y:.1f})")

# Image coordinate -> Timeline coordinate
# coord_back = bundle.image_to_timeline(source_idx, x, y)
# print(f"\nRound-trip: {coord_back:.1f} (should be {coord})")

Example 3: Multiple Images (Separate Pages)

Load a multi-page analysis where each page is a separate image.

# Create loader for multi-page document
loader2 = GraphicalLoader(metadata={"source": "Multi-page Analysis"})

# Add images and segments
# image_paths = [
#     Path("analysis_page1.jpg"),
#     Path("analysis_page2.jpg"),
#     Path("analysis_page3.jpg"),
# ]

# Segment dimensions for each page (x0, x1, y)
# segments = [
#     (10, 850, 50),   # Page 1: 840 pixels
#     (10, 860, 50),   # Page 2: 850 pixels
#     (10, 840, 50),   # Page 3: 830 pixels
# ]

# for img_path, (x0, x1, y) in zip(image_paths, segments):
#     idx = loader2.add_image(img_path)
#     loader2.add_horizontal_segment(idx, x0=x0, x1=x1, y=y, name=f"page_{idx+1}")

# bundle2 = loader2.bundle
# print(f"Multi-page bundle: {bundle2.n_sources} sources, {bundle2.total_length:.0f} total pixels")

Example 4: Creating a Timeline

Convert a GraphicalBundle into a DiscreteGraphicalTimeline.

# Create timeline from bundle
# timeline = bundle.create_timeline(uid="score_timeline", name="Example Score")

# print(f"Timeline: {timeline.id}")
# print(f"  Length: {timeline.length}")
# print(f"  Unit: {timeline.unit}")
# print(f"  Domain: {timeline.domain}")

Example 5: Visualization

Draw paths and events on images.

# Draw all segment paths on the source image
# viz_img = bundle.draw_segments_on_source(source_index=0, color=(0, 255, 0), line_width=2)

# Save visualization
# viz_img.save(Path("score_with_paths.png"))

# Draw an event interval (e.g., a note or phrase)
# event_start = 100  # Timeline coordinate
# event_end = 300
# event_images = bundle.draw_interval(event_start, event_end, color=(255, 0, 0), line_width=3)

# print(f"Drew event on {len(event_images)} images")

Advanced: Custom Paths

For non-horizontal timelines, use custom TimeAxisPath classes.

from timetoalign.loader.graphical import (  # noqa: E402
    DiagonalLinePath,
    ParametricPath,
    VerticalLinePath,
)

# Vertical timeline (top to bottom)
vertical_path = VerticalLinePath(x=400, y0=50, y1=600)
print(f"Vertical path length: {vertical_path.length} pixels")

# Diagonal timeline
diagonal_path = DiagonalLinePath(start=(100, 100), end=(700, 500))
print(f"Diagonal path length: {diagonal_path.length:.1f} pixels")

# Spiral timeline (parametric)
# r = a + b*t (Archimedean spiral)
a, b = 50, 10
spiral_path = ParametricPath(
    x_func=lambda t: 400 + (a + b * t) * math.cos(t),
    y_func=lambda t: 400 + (a + b * t) * math.sin(t),
    t_start=0,
    t_end=4 * math.pi,  # 2 full rotations
    samples=1000,
)
print(f"Spiral path length: {spiral_path.length:.1f} pixels")

Vertical path length: 550 pixels
Diagonal path length: 721.1 pixels
Spiral path length: 1424.1 pixels

Summary

The graphical loader provides:

Flexible path definitions - Horizontal, vertical, diagonal, or parametric curves
Multiple image support - Single or multi-page analyses
Bidirectional conversion - Timeline ↔︎ Image coordinates
Visualization - Draw paths and events on images
Timeline integration - Convert bundles to DiscreteGraphicalTimeline

Next: See 07_alignment.ipynb for the Thoresen alignment example using these tools.