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from flask import Flask, request, jsonify
from flask_cors import CORS
from PIL import Image
import vtracer
import io
import os
app = Flask(__name__)
CORS(app, resources={r"/convert-to-vector": {"origins": "*"}})
def convert_to_vector(image, colormode="color", hierarchical="stacked", mode="spline", filter_speckle=4, color_precision=6, layer_difference=16, corner_threshold=60, length_threshold=4.0, max_iterations=10, splice_threshold=45, path_precision=3):
input_path = "temp_input.jpg"
output_path = "svg_output.svg"
# Save the input image to a temporary file
image.save(input_path)
# Convert the image to SVG using VTracer
vtracer.convert_image_to_svg_py(
input_path,
output_path,
colormode=colormode,
hierarchical=hierarchical,
mode=mode,
filter_speckle=int(filter_speckle),
color_precision=int(color_precision),
layer_difference=int(layer_difference),
corner_threshold=int(corner_threshold),
length_threshold=float(length_threshold),
max_iterations=int(max_iterations),
splice_threshold=int(splice_threshold),
path_precision=int(path_precision)
)
# Read the SVG output
with open(output_path, "r") as f:
svg_content = f.read()
# Clean up temporary files
os.remove(input_path)
os.remove(output_path)
return svg_content
@app.route('/convert-to-vector', methods=['POST'])
def convert_to_vector_endpoint():
try:
# Handle raw image data in the request body
if request.data:
image = Image.open(io.BytesIO(request.data)).convert('RGB')
else:
return jsonify({'error': 'No image data provided'}), 400
# Process the image
svg_content = convert_to_vector(image)
# Return the SVG content as plain text
return svg_content, 200, {'Content-Type': 'text/plain'}
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/')
def index():
return jsonify({'status': 'Image to Vector API is running'})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860)