File size: 8,942 Bytes
fddb466
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
# 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')

@app.route('/health', methods=['GET'])
def health_check():
    return jsonify({'status': 'healthy', 'message': 'Face Swap API is running'})

@app.route('/swap', methods=['POST'])
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

@app.route('/swap/batch', methods=['POST'])
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)