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19 lines
486 B
Python
19 lines
486 B
Python
import cv2
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import numpy as np
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import tensorflow as tf
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def preprocess_image(frame):
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img = cv2.resize(frame, (224, 224))
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img = img.astype('float32') / 255.0
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img = np.expand_dims(img, axis=0)
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return img
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def detect_posture(frame, model):
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preprocessed = preprocess_image(frame)
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prediction = model(preprocessed, training=False)
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prediction = tf.nn.softmax(prediction.logits)
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if prediction[0][1] > 0.5:
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return "Good"
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else:
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return "Bad" |