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captcha_api.py

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+#!/usr/bin/env python3
+from flask import Flask, request, jsonify
+import cv2
+import numpy as np
+import base64
+import os
+
+app = Flask(__name__)
+
+class SimpleCaptchaSolver:
+    def preprocess(self, img):
+        return cv2.resize(img, (64, 64))
+    
+    def extract_features(self, img):
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        hist = cv2.calcHist([gray], [0], None, [32], [0, 256])
+        hist = cv2.normalize(hist, hist).flatten()
+        edges = cv2.Canny(gray, 50, 150)
+        edge_ratio = np.sum(edges > 0) / edges.size
+        return np.append(hist, edge_ratio)
+    
+    def compare(self, feat1, feat2):
+        dot = np.dot(feat1, feat2)
+        norm1 = np.linalg.norm(feat1)
+        norm2 = np.linalg.norm(feat2)
+        if norm1 == 0 or norm2 == 0:
+            return 0.0
+        return dot / (norm1 * norm2)
+    
+    def solve(self, target, options):
+        target = self.preprocess(target)
+        options = [self.preprocess(opt) for opt in options]
+        target_feat = self.extract_features(target)
+        scores = []
+        for opt in options:
+            opt_feat = self.extract_features(opt)
+            score = self.compare(target_feat, opt_feat)
+            scores.append(float(score))
+        best_idx = int(np.argmax(scores))
+        return {
+            'answer': best_idx + 1,
+            'confidence': scores[best_idx],
+            'scores': scores
+        }
+
+solver = SimpleCaptchaSolver()
+
+def b64_to_cv2(b64_str):
+    img_data = base64.b64decode(b64_str.split(',')[-1])
+    img_array = np.frombuffer(img_data, np.uint8)
+    return cv2.imdecode(img_array, cv2.IMREAD_COLOR)
+
+@app.route('/', methods=['GET'])
+def home():
+    return jsonify({
+        'service': 'CAPTCHA Solver API',
+        'version': '2.0',
+        'status': 'online',
+        'endpoints': {
+            '/health': 'GET - Health check',
+            '/solve': 'POST - Solve CAPTCHA'
+        }
+    })
+
+@app.route('/health', methods=['GET'])
+def health():
+    return jsonify({'status': 'ok', 'solver': 'SimpleCaptchaSolver v2.0'})
+
+@app.route('/solve', methods=['POST'])
+def solve():
+    try:
+        data = request.json
+        if not data or 'target' not in data or 'options' not in data:
+            return jsonify({'status': 0, 'error': 'Missing fields'}), 400
+        target = b64_to_cv2(data['target'])
+        options = [b64_to_cv2(opt) for opt in data['options']]
+        result = solver.solve(target, options)
+        return jsonify({'status': 1, 'result': result})
+    except Exception as e:
+        return jsonify({'status': 0, 'error': str(e)}), 500
+
+if __name__ == '__main__':
+    port = int(os.environ.get('PORT', 10000))
+    print("="*60)
+    print(f"🚀 CAPTCHA Solver API")
+    print(f"🌐 Port: {port}")
+    print("="*60)
+    app.run(host='0.0.0.0', port=port, debug=False)

requirements.txt

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+flask==3.0.3
+opencv-python-headless>=4.10.0
+numpy>=1.26.0
+gunicorn==23.0.0