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| from flask import Flask, request, jsonify, send_file | |
| from flask_cors import CORS | |
| from PIL import Image | |
| import vtracer | |
| import io | |
| import os | |
| import logging | |
| app = Flask(__name__) | |
| CORS(app, resources={r"/convert-to-vector": {"origins": "*"}}) | |
| # Configure logging | |
| logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s') | |
| def convert_to_vector(image): | |
| input_path = "temp_input.png" # Use .png to support PNG inputs | |
| output_svg_path = "temp_output.svg" | |
| try: | |
| # Save the input image | |
| app.logger.debug(f"Saving input image to {input_path}") | |
| image.save(input_path) | |
| # Convert to SVG using VTracer | |
| app.logger.debug("Converting image to SVG") | |
| vtracer.convert_image_to_svg_py( | |
| input_path, | |
| output_svg_path, | |
| 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 | |
| ) | |
| # Read the SVG | |
| app.logger.debug(f"Reading SVG from {output_svg_path}") | |
| with open(output_svg_path, "r") as f: | |
| svg_content = f.read() | |
| # Validate SVG | |
| if not svg_content.startswith('<?xml') or '<svg' not in svg_content: | |
| app.logger.error(f"Invalid SVG content: {svg_content[:100]}") | |
| raise ValueError("Generated SVG is invalid") | |
| app.logger.debug(f"SVG content length: {len(svg_content)}, first 100 chars: {svg_content[:100]}") | |
| return svg_content | |
| finally: | |
| # Clean up | |
| app.logger.debug("Cleaning up temporary files") | |
| for path in [input_path, output_svg_path]: | |
| if os.path.exists(path): | |
| os.remove(path) | |
| def convert_to_vector_endpoint(): | |
| try: | |
| # Handle image data | |
| if request.data: | |
| app.logger.debug("Received raw image data") | |
| # Try to open the image without assuming format | |
| try: | |
| image = Image.open(io.BytesIO(request.data)) | |
| except Exception as e: | |
| app.logger.error(f"Failed to open image: {str(e)}") | |
| return jsonify({'error': f"Invalid image data: {str(e)}"}), 400 | |
| elif 'image' in request.files: | |
| app.logger.debug("Received multipart image data") | |
| file = request.files['image'] | |
| try: | |
| image = Image.open(file) | |
| except Exception as e: | |
| app.logger.error(f"Failed to open image: {str(e)}") | |
| return jsonify({'error': f"Invalid image data: {str(e)}"}), 400 | |
| else: | |
| app.logger.error("No image data provided") | |
| return jsonify({'error': 'No image data provided'}), 400 | |
| # Log image format and mode | |
| app.logger.debug(f"Image format: {image.format}, mode: {image.mode}") | |
| # Convert to RGB if needed (for vtracer compatibility) | |
| if image.mode not in ['RGB', 'RGBA']: | |
| image = image.convert('RGB') | |
| elif image.mode == 'RGBA': | |
| # Optionally convert RGBA to RGB to avoid alpha channel issues | |
| image = image.convert('RGB') | |
| # Process image | |
| app.logger.debug("Processing image") | |
| svg_content = convert_to_vector(image) | |
| # Return SVG | |
| app.logger.debug("Sending SVG response") | |
| return send_file( | |
| io.BytesIO(svg_content.encode('utf-8')), | |
| mimetype='image/svg+xml', | |
| as_attachment=True, | |
| download_name='vector_output.svg' | |
| ) | |
| except Exception as e: | |
| app.logger.error(f"Error processing request: {str(e)}") | |
| return jsonify({'error': str(e)}), 500 | |
| def index(): | |
| return jsonify({'status': 'Image to Vector Converter API is running'}) | |
| if __name__ == '__main__': | |
| app.run(host='0.0.0.0', port=7860) |