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| # app.py | |
| import cv2 | |
| import insightface | |
| import numpy as np | |
| from flask import Flask, request, jsonify | |
| from flask_cors import CORS | |
| import base64 | |
| import os | |
| import tempfile | |
| import uuid | |
| from werkzeug.utils import secure_filename | |
| from insightface.app import FaceAnalysis | |
| app = Flask(__name__) | |
| CORS(app) | |
| # Configuration | |
| app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024 # 16MB max file size | |
| app.config['UPLOAD_FOLDER'] = tempfile.gettempdir() | |
| ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'webp'} | |
| # Initialize face analysis globally | |
| face_app = FaceAnalysis(providers=['CPUExecutionProvider']) | |
| face_app.prepare(ctx_id=0, det_size=(640, 640)) | |
| # Initialize face swapper | |
| swapper = insightface.model_zoo.get_model('inswapper_128.onnx') | |
| def allowed_file(filename): | |
| return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS | |
| def decode_base64_image(base64_string): | |
| """Decode base64 string to numpy image""" | |
| if ',' in base64_string: | |
| base64_string = base64_string.split(',')[1] | |
| img_data = base64.b64decode(base64_string) | |
| nparr = np.frombuffer(img_data, np.uint8) | |
| return cv2.imdecode(nparr, cv2.IMREAD_COLOR) | |
| def encode_image_to_base64(image): | |
| """Encode numpy image to base64 string""" | |
| _, buffer = cv2.imencode('.jpg', image) | |
| return base64.b64encode(buffer).decode('utf-8') | |
| def health_check(): | |
| return jsonify({'status': 'healthy', 'message': 'Face Swap API is running'}) | |
| def swap_faces(): | |
| """ | |
| Swap faces between source and target images | |
| Expected JSON payload: | |
| { | |
| "source_image": "base64_string or file_path", | |
| "target_image": "base64_string or file_path", | |
| "source_is_base64": true, # optional, defaults to false | |
| "target_is_base64": true # optional, defaults to false | |
| } | |
| Or use multipart/form-data with files: | |
| - source_file (image file) | |
| - target_file (image file) | |
| """ | |
| try: | |
| source_img = None | |
| target_img = None | |
| # Handle JSON request | |
| if request.is_json: | |
| data = request.get_json() | |
| # Get source image | |
| source_is_base64 = data.get('source_is_base64', False) | |
| if source_is_base64: | |
| source_img = decode_base64_image(data['source_image']) | |
| else: | |
| source_img = cv2.imread(data['source_image']) | |
| # Get target image | |
| target_is_base64 = data.get('target_is_base64', False) | |
| if target_is_base64: | |
| target_img = decode_base64_image(data['target_image']) | |
| else: | |
| target_img = cv2.imread(data['target_image']) | |
| # Handle multipart form request | |
| elif 'source_file' in request.files and 'target_file' in request.files: | |
| source_file = request.files['source_file'] | |
| target_file = request.files['target_file'] | |
| if source_file and allowed_file(source_file.filename): | |
| source_filename = secure_filename(source_file.filename) | |
| source_path = os.path.join(app.config['UPLOAD_FOLDER'], f"source_{uuid.uuid4()}_{source_filename}") | |
| source_file.save(source_path) | |
| source_img = cv2.imread(source_path) | |
| os.remove(source_path) # Clean up | |
| else: | |
| return jsonify({'error': 'Invalid source file type'}), 400 | |
| if target_file and allowed_file(target_file.filename): | |
| target_filename = secure_filename(target_file.filename) | |
| target_path = os.path.join(app.config['UPLOAD_FOLDER'], f"target_{uuid.uuid4()}_{target_filename}") | |
| target_file.save(target_path) | |
| target_img = cv2.imread(target_path) | |
| os.remove(target_path) # Clean up | |
| else: | |
| return jsonify({'error': 'Invalid target file type'}), 400 | |
| else: | |
| return jsonify({'error': 'Invalid request. Provide source_image/target_image or source_file/target_file'}), 400 | |
| # Validate images | |
| if source_img is None: | |
| return jsonify({'error': 'Could not read source image'}), 400 | |
| if target_img is None: | |
| return jsonify({'error': 'Could not read target image'}), 400 | |
| # Detect faces | |
| source_faces = face_app.get(source_img) | |
| target_faces = face_app.get(target_img) | |
| if len(source_faces) == 0: | |
| return jsonify({'error': 'No face found in source image'}), 400 | |
| if len(target_faces) == 0: | |
| return jsonify({'error': 'No face found in target image'}), 400 | |
| # Perform face swap | |
| swapped_image = swapper.get(target_img, target_faces[0], source_faces[0], paste_back=True) | |
| # Prepare response | |
| return_type = request.args.get('return_type', 'base64') | |
| if return_type == 'file': | |
| # Save and return file path | |
| output_filename = f"swapped_{uuid.uuid4()}.jpg" | |
| output_path = os.path.join(app.config['UPLOAD_FOLDER'], output_filename) | |
| cv2.imwrite(output_path, swapped_image) | |
| return jsonify({ | |
| 'success': True, | |
| 'message': 'Face swap completed successfully', | |
| 'output_path': output_path, | |
| 'filename': output_filename | |
| }) | |
| else: | |
| # Return base64 encoded image | |
| encoded_image = encode_image_to_base64(swapped_image) | |
| return jsonify({ | |
| 'success': True, | |
| 'message': 'Face swap completed successfully', | |
| 'swapped_image': encoded_image | |
| }) | |
| except Exception as e: | |
| return jsonify({'error': str(e)}), 500 | |
| def batch_swap_faces(): | |
| """ | |
| Batch face swap with multiple targets | |
| Expected JSON payload: | |
| { | |
| "source_image": "base64_string or path", | |
| "target_images": ["base64_string1", "base64_string2", ...], | |
| "source_is_base64": true, | |
| "targets_are_base64": true | |
| } | |
| """ | |
| try: | |
| data = request.get_json() | |
| # Get source image | |
| source_is_base64 = data.get('source_is_base64', False) | |
| if source_is_base64: | |
| source_img = decode_base64_image(data['source_image']) | |
| else: | |
| source_img = cv2.imread(data['source_image']) | |
| if source_img is None: | |
| return jsonify({'error': 'Could not read source image'}), 400 | |
| # Detect source face once | |
| source_faces = face_app.get(source_img) | |
| if len(source_faces) == 0: | |
| return jsonify({'error': 'No face found in source image'}), 400 | |
| source_face = source_faces[0] | |
| # Process all target images | |
| results = [] | |
| target_images = data.get('target_images', []) | |
| targets_are_base64 = data.get('targets_are_base64', False) | |
| for idx, target_img_data in enumerate(target_images): | |
| try: | |
| if targets_are_base64: | |
| target_img = decode_base64_image(target_img_data) | |
| else: | |
| target_img = cv2.imread(target_img_data) | |
| if target_img is None: | |
| results.append({'index': idx, 'error': 'Could not read target image'}) | |
| continue | |
| target_faces = face_app.get(target_img) | |
| if len(target_faces) == 0: | |
| results.append({'index': idx, 'error': 'No face found in target image'}) | |
| continue | |
| swapped_image = swapper.get(target_img, target_faces[0], source_face, paste_back=True) | |
| encoded_image = encode_image_to_base64(swapped_image) | |
| results.append({ | |
| 'index': idx, | |
| 'success': True, | |
| 'swapped_image': encoded_image | |
| }) | |
| except Exception as e: | |
| results.append({'index': idx, 'error': str(e)}) | |
| return jsonify({ | |
| 'success': True, | |
| 'message': f'Processed {len(results)} images', | |
| 'results': results | |
| }) | |
| except Exception as e: | |
| return jsonify({'error': str(e)}), 500 | |
| if __name__ == '__main__': | |
| print("Starting Face Swap API Server...") | |
| print("Make sure 'inswapper_128.onnx' is in the current directory") | |
| print("API endpoints:") | |
| print(" GET /health - Health check") | |
| print(" POST /swap - Single face swap") | |
| print(" POST /swap/batch - Batch face swap") | |
| print("\nStarting server on http://localhost:5000") | |
| app.run(host='0.0.0.0', port=7860, debug=True) |