54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
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#from PIL import Image
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#from sys import argv, exit
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import numpy as np
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import cv2 as cv
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from tensorflow.keras.utils import array_to_img as img
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from matplotlib import pyplot as plt
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#if len(argv) != 2:
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# exit(1)
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#i = np.array(Image.open(argv[1]).convert('RGB').resize((300,300)))
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from test2 import *
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m.load_weights("model3.keras")
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c = cv.VideoCapture(0)
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while True:
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ret, frame = c.read()
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pi = np.array(img(cv.cvtColor(frame, cv.COLOR_BGR2RGB)).resize((300, 300)).convert("RGB"))
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#plt.imshow(pi)
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#plt.show()
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#print(pi.astype(float))
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r = m.predict(np.array([pi.astype(float)]))
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if r[0][0] >= 0:
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if (pi[20][28][0] >= 160):
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cv.putText(frame, f"Y: {r[0][0]:.9f}", (10, 40), cv.FONT_HERSHEY_SIMPLEX, 1, (0,130,0), 2)
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else:
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cv.putText(frame, f"Y: {r[0][0]:.9f}", (10, 40), cv.FONT_HERSHEY_SIMPLEX, 1, (150,255,150), 2)
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else:
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if (pi[30][30][0] >= 160):
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cv.putText(frame, f"N: {r[0][0]:.9f}", (10, 40), cv.FONT_HERSHEY_SIMPLEX, 1, (0,0,130), 2)
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else:
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cv.putText(frame, f"N: {r[0][0]:.9f}", (10, 40), cv.FONT_HERSHEY_SIMPLEX, 1, (150,150,255), 2)
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cv.imshow('me', frame)
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if cv.waitKey(1) == ord('q'):
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break
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#print(frame)
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c.release()
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cv.destroyAllWindows()
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#r = mod.predict(np.array([i]))
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#print(r)
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