(Apr-22-2025, 12:39 PM)chihuahua998 Wrote: I have a single SVG file, called "container.svg" that contains a closed curve on a transparent background, something like this:
<?xml version="1.0" encoding="utf-8" ?>
<svg baseProfile="tiny" viewbox="0 0 720 1080" height="1080" version="1.2" width="720" xmlns="http://www.w3.org/2000/svg" xmlns:ev="http://www.w3.org/2001/xml-events" xmlns:xlink="http://www.w3.org/1999/xlink"><defs /><ellipse cx="360.0" cy="540.0" fill="none" rx="324.0" ry="486.0" stroke="black" stroke-width="2" /></svg>
then I have a directory with other SVG files, each one contains some colored areas over a transparent background.
For the matter of this question we can just assume a simple rect or circle.
My goal is to load one image at time, move and scale it in order to "best fit" the inside of the container.svg shape.
That means the transparent areas can overlap, but the colored pixels should be kept inside the shape (with a specified gap) and each time a new image is loaded all of them should be moved and scaled (but not rotated) to fill all the available space.
This is similar to the "stock problem" you might face when you want to cut a piece of wood with several shapes and you want to use all the available surface minimizing the waste.
The output of my program should be the absolute position and size for each loaded image, so I can make an HTML page to represent the final result.
Is there any Python library I can use to do this? Or any idea to put me on the right way?
I applied your query to Grok on X. Here's the response which may, or may not be helpful:
Disclaimer: This solution was generated by Grok, created by xAI, and adapted by me.
To solve this problem, we need to create a program that loads a container SVG with a closed curve (e.g., an ellipse) and a set of other SVG files containing colored shapes (e.g., rectangles or circles), then positions and scales these shapes to "best fit" inside the container while ensuring colored areas stay within the container's boundary (with a specified gap) and minimizing wasted space. The output will be the absolute positions and sizes for each loaded image, suitable for generating an HTML page to display the result.
This is akin to a 2D bin packing or stock cutting problem, but with the added complexity of a non-rectangular container and SVG handling. We'll use Python with libraries like svgpathtools for SVG parsing, shapely for geometric operations, and a heuristic approach for packing. The shapes will be scaled and translated (no rotation) to fit within the container, respecting a gap and ensuring no colored areas overlap or exceed the container's boundary.
Approach
- Parse SVGs:
Load container.svg to extract the closed curve (e.g., ellipse) as a geometric path.
Load each shape SVG to extract its colored shape (e.g., rectangle or circle) and compute its bounding box and geometry.
- Geometric Setup:
Convert the container's path to a shapely polygon, accounting for the specified gap by shrinking the polygon.
Convert each shape's geometry to a shapely object (e.g., rectangle or circle), preserving its aspect ratio during scaling.
- Packing Algorithm:
Use a heuristic packing strategy (e.g., sorting shapes by area and placing them one by one).
For each shape:- Iterate over possible positions within the container (e.g., on a grid or using a sliding approach).
- Scale the shape (maintaining aspect ratio) to the maximum size that fits without overlapping other shapes or exceeding the container.
- Place the shape at the position that minimizes wasted space or maximizes compactness.
- Reposition and rescale all shapes iteratively when a new shape is added to optimize the layout.
- Output:
For each shape, output its absolute position (x, y) and scale factor (or width/height) relative to the original SVG size.
Generate an HTML page that uses <image> tags to place the SVGs at the computed positions and sizes.
Assumptions
- The container SVG has a single closed path (e.g., an ellipse).
- Shape SVGs contain a single colored shape (rectangle or circle) on a transparent background.
- The gap is a fixed pixel distance (e.g., 10 pixels) applied as an inward buffer to the container.
- Shapes can overlap in transparent areas but not in colored areas.
- No rotation is allowed; only translation and uniform scaling (preserving aspect ratio).
- The output positions and sizes are in the coordinate system of container.svg (e.g., 720x1080 viewBox).
Python Implementation
Below is a Python script that implements the described functionality. It uses svgpathtools for SVG parsing, shapely for geometric computations, and a simple
packing heuristic. The script assumes the shape SVGs are in a directory called shapes/.
python
import os
import svgpathtools
from shapely.geometry import Polygon, Point
from shapely.affinity import scale, translate
import numpy as np
from xml.etree import ElementTree as ET
# Configuration
CONTAINER_SVG = "container.svg"
SHAPES_DIR = "shapes"
GAP = 10 # Pixel gap from container boundary
OUTPUT_HTML = "output.html"
def parse_container_svg(file_path):
"""Parse container SVG and return its closed path as a Shapely polygon."""
doc = svgpathtools.Document(file_path)
paths = doc.paths()
if not paths:
raise ValueError("No paths found in container SVG")
path = paths[0] # Assume single path
points = []
for segment in path:
if isinstance(segment, svgpathtools.Line):
points.append((segment.start.real, segment.start.imag))
elif isinstance(segment, svgpathtools.CubicBezier):
# Approximate Bezier with points (simplified)
t = np.linspace(0, 1, 10)
for ti in t:
pt = segment.point(ti)
points.append((pt.real, pt.imag))
polygon = Polygon(points)
# Apply gap by buffering inward
return polygon.buffer(-GAP, resolution=16)
def parse_shape_svg(file_path):
"""Parse shape SVG and return its geometry and bounding box."""
tree = ET.parse(file_path)
root = tree.getroot()
ns = {"svg": "http://www.w3.org/2000/svg"}
# Look for rect or circle
shape = None
for elem in root.findall(".//svg:rect|.//svg:circle", ns):
if elem.tag.endswith("rect"):
x = float(elem.get("x", 0))
y = float(elem.get("y", 0))
w = float(elem.get("width"))
h = float(elem.get("height"))
shape = Polygon([(x, y), (x+w, y), (x+w, y+h), (x, y+h)])
bbox = (w, h)
elif elem.tag.endswith("circle"):
cx = float(elem.get("cx"))
cy = float(elem.get("cy"))
r = float(elem.get("r"))
shape = Point(cx, cy).buffer(r, resolution=16)
bbox = (2*r, 2*r)
break
if shape is None:
raise ValueError(f"No supported shape found in {file_path}")
return shape, bbox, file_path
def try_place_shape(container, shapes, new_shape, orig_bbox, grid_step=10):
"""Attempt to place and scale new_shape within container without overlap."""
best_pos = None
best_scale = 0
best_area = 0
# Get container bounds
minx, miny, maxx, maxy = container.bounds
# Try positions on a grid
for x in np.arange(minx, maxx, grid_step):
for y in np.arange(miny, maxy, grid_step):
# Translate shape to position
placed_shape = translate(new_shape, xoff=x, yoff=y)
if not container.contains(placed_shape):
continue
# Check for overlap with other shapes
overlap = any(placed_shape.intersects(s[0]) for s in shapes)
if overlap:
continue
# Find maximum scale factor
scale_factor = 1.0
while True:
scaled = scale(placed_shape, xfact=scale_factor, yfact=scale_factor, origin=(x, y))
if not container.contains(scaled) or any(scaled.intersects(s[0]) for s in shapes):
scale_factor -= 0.01
if scale_factor <= 0:
break
else:
scale_factor += 0.01
if scale_factor > 5: # Prevent excessive scaling
break
if scale_factor > best_scale:
best_scale = scale_factor
best_pos = (x, y)
best_area = placed_shape.area * scale_factor ** 2
return best_pos, best_scale, best_area
def pack_shapes(container, shape_files):
"""Pack shapes into container and return their positions and scales."""
placed_shapes = []
# Load all shapes
shape_geometries = [parse_shape_svg(f) for f in shape_files]
# Sort by area (descending) for better packing
shape_geometries.sort(key=lambda x: x[0].area, reverse=True)
for shape, bbox, file_path in shape_geometries:
pos, scale, _ = try_place_shape(container, placed_shapes, shape, bbox)
if pos is None:
print(f"Could not place {file_path}")
continue
x, y = pos
# Store: (geometry, position, scale, file_path)
scaled_shape = scale(shape, xfact=scale, yfact=scale, origin=(x, y))
translated_shape = translate(scaled_shape, xoff=x, yoff=y)
placed_shapes.append((translated_shape, (x, y), scale, file_path))
return placed_shapes
def generate_html(placed_shapes, container_file, width=720, height=1080):
"""Generate HTML to display the packed shapes."""
html = f"""<!DOCTYPE html>
<html>
<head>
<title>Packed SVGs</title>
<style>
body {{ margin: 0; display: flex; justify-content: center; align-items: center; height: 100vh; }}
.container {{ position: relative; width: {width}px; height: {height}px; }}
img {{ position: absolute; }}
</style>
</head>
<body>
<div class="container">
<img src="{container_file}" style="width: {width}px; height: {height}px;">
"""
for _, (x, y), scale, file_path in placed_shapes:
# Get original dimensions from SVG
tree = ET.parse(file_path)
root = tree.getroot()
orig_width = float(root.get("width", 100))
orig_height = float(root.get("height", 100))
new_width = orig_width * scale
new_height = orig_height * scale
html += f' <img src="{file_path}" style="left: {x}px; top: {y}px; width: {new_width}px; height: {new_height}px;">\n'
html += """ </div>
</body>
</html>"""
with open(OUTPUT_HTML, "w") as f:
f.write(html)
def main():
# Load container
container = parse_container_svg(CONTAINER_SVG)
# Load shape files
shape_files = [os.path.join(SHAPES_DIR, f) for f in os.listdir(SHAPES_DIR) if f.endswith(".svg")]
# Pack shapes
placed_shapes = pack_shapes(container, shape_files)
# Output positions and scales
print("Placed shapes:")
for _, (x, y), scale, file_path in placed_shapes:
print(f"File: {file_path}, Position: ({x:.2f}, {y:.2f}), Scale: {scale:.2f}")
# Generate HTML
generate_html(placed_shapes, CONTAINER_SVG)
if __name__ == "__main__":
main()Explanation
- SVG Parsing:
parse_container_svg: Extracts the container's path (e.g., ellipse) and converts it to a shapely polygon, applying the gap via buffering.
parse_shape_svg: Parses shape SVGs to extract rectangles or circles as shapely geometries and their bounding boxes.
- Packing:
try_place_shape: Tests positions on a grid, scales the shape to the maximum size that fits, and selects the best position based on the scaled area.
pack_shapes: Sorts shapes by area and places them one by one, storing their final positions and scales.
- Output:
generate_html: Creates an HTML page with a container SVG and shape SVGs positioned using absolute CSS styling.
The main function prints the position and scale for each shape and saves the HTML.
Dependencies
Install required libraries:
bash
pip install svgpathtools shapely numpy
Example Shape SVG
For testing, create shape SVGs in the shapes/ directory, e.g., rect.svg:
Output:
xml
<?xml version="1.0" encoding="utf-8"?>
<svg viewBox="0 0 100 100" width="100" height="100" xmlns="http://www.w3.org/2000/svg">
<rect x="10" y="10" width="80" height="80" fill="red"/>
</svg>
And circle.svg:
Output:
xml
<?xml version="1.0" encoding="utf-8"?>
<svg viewBox="0 0 100 100" width="100" height="100" xmlns="http://www.w3.org/2000/svg">
<circle cx="50" cy="50" r="40" fill="blue"/>
</svg>
Output
Output:
Console: Lists each shape's file path, position (x, y), and scale factor.
HTML: An output.html file that displays the container SVG with shape SVGs overlaid at their computed positions and sizes.
Limitations and Improvements
Performance: The grid-based placement is simple but slow for large containers or many shapes. Consider using a more advanced packing algorithm (e.g., rectangle packing with a binary tree or genetic algorithm).
Precision: Bezier curves in the container SVG are approximated; use finer sampling for complex paths.
Repositioning: The current script places shapes sequentially without repositioning existing shapes when a new one is added. For better optimization, implement an iterative refinement step (e.g., simulated annealing).
Shape Support: Only rectangles and circles are supported; extend parse_shape_svg for other SVG elements (e.g., polygons, paths).
This solution provides a functional starting point for the described problem, producing absolute positions and sizes for an HTML visualization. Adjust the grid_step and packing strategy based on performance and precision needs.
