added statistics
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@ -2,18 +2,25 @@ import cv2
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import matplotlib.pyplot as plt
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import numpy as np
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def imgStats(img):
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mean = np.zeros(3)
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std = np.zeros(3)
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for i in range(img.shape[2]):
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mean[i] = np.mean(hsv_img[:, :, i])
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std[i] = np.std(hsv_img[:, :, i])
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return mean, std
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DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
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full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
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bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
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hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
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cv2.imshow('BGR',bgr_img)
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cv2.imshow('HSV',hsv_img)
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cv2.imshow('HSV - H',hsv_img[:, :, 0])
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cv2.imshow('HSV - S',hsv_img[:, :, 1])
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cv2.imshow('HSV - V',hsv_img[:, :, 2])
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# cv2.imshow('BGR',bgr_img)
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# cv2.imshow('HSV',hsv_img)
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# cv2.imshow('HSV - H',hsv_img[:, :, 0])
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# cv2.imshow('HSV - S',hsv_img[:, :, 1])
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# cv2.imshow('HSV - V',hsv_img[:, :, 2])
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hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
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plt.plot(hist, label='H')
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@ -21,6 +28,11 @@ hist = cv2.calcHist([hsv_img], [1], None, [256], [0,256])
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plt.plot(hist, label='S')
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hist = cv2.calcHist([hsv_img], [2], None, [256], [0,256])
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plt.plot(hist, label='V')
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mean, std = imgStats(hsv_img)
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print(mean)
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print(std)
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plt.grid()
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plt.legend()
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plt.show()
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