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@ -1,26 +1,18 @@
import cv2
import matplotlib.pyplot as plt
import numpy as np
def imgStats(img):
mean = np.zeros(3)
std = np.zeros(3)
for i in range(img.shape[2]):
mean[i] = np.mean(hsv_img[:, :, i])
std[i] = np.std(hsv_img[:, :, i])
return mean, std
DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
DATASET_PATH = "C:\\Users\\tomse\\Documents\\Dataset\\"
full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
bgr_img = cv2.resize(full_img, (0, 0), fx=0.2, fy=0.2)
hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
# cv2.imshow('BGR',bgr_img)
# cv2.imshow('HSV',hsv_img)
# cv2.imshow('HSV - H',hsv_img[:, :, 0])
# cv2.imshow('HSV - S',hsv_img[:, :, 1])
# cv2.imshow('HSV - V',hsv_img[:, :, 2])
cv2.imshow('BGR',bgr_img)
cv2.imshow('HSV',hsv_img)
cv2.imshow('HSV - H',hsv_img[:, :, 0])
cv2.imshow('HSV - S',hsv_img[:, :, 1])
cv2.imshow('HSV - V',hsv_img[:, :, 2])
hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
plt.plot(hist, label='H')
@ -28,11 +20,6 @@ hist = cv2.calcHist([hsv_img], [1], None, [256], [0,256])
plt.plot(hist, label='S')
hist = cv2.calcHist([hsv_img], [2], None, [256], [0,256])
plt.plot(hist, label='V')
mean, std = imgStats(hsv_img)
print(mean)
print(std)
plt.grid()
plt.legend()
plt.show()