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44 lines
1.4 KiB
44 lines
1.4 KiB
2 months ago
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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from Algorithms.TargetFollower import TargetFollower
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from Interfaces.DataProcessor import DataProcessor
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import numpy as np
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import cv2
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import base64
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app = Flask(__name__)
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CORS(app)
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data_processor = DataProcessor()
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@app.route('/follow-vector', methods=['POST'])
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def follow_vector():
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try:
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data = request.json
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detections_info, annotated_image = data_processor.inline_detection(data)
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if not detections_info and annotated_image is None:
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return jsonify({'error': 'No detections found.'}), 400
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# Указываем параметры камеры
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image_height, image_width, _ = annotated_image.shape
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camera_position = np.array([image_width / 2, image_height, 0])
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# todo: add detections_info to the kafka topic
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# Инициализируем TargetFollower и рассчитываем target вектор
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follower = TargetFollower(detections_info, annotated_image, camera_position=camera_position)
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selected_target = follower.select_target('person', nearest=True)
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follow_vector = follower.calculate_follow_vector()
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return jsonify({
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'detections_info': detections_info,
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'follow_vector': follow_vector.tolist()
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})
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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app.run(debug=True)
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