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Updated colourspace

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This commit is contained in:
Tom Selier 2023-09-24 20:34:21 +02:00
parent 5fae9c9a0d
commit 2f39bb9808
1 changed files with 36 additions and 9 deletions
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45
src/experiments/algorithms/colourspace.py
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@ -6,13 +6,24 @@ 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])
mean[i] = np.mean(img[:, :, i])
std[i] = np.std(img[:, :, i])
return mean, std
DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
def histNormalize(hist):
max_val = np.amax(hist)
min_val = np.amin(hist)
for i in range(len(hist)):
hist[i][0] = (hist[i][0] - min_val)/(max_val - min_val)
# DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
# full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
DATASET_PATH = "..\\..\\..\\res\\trees\\"
full_img = cv2.imread(DATASET_PATH + "berk_sq1_original.png", 1)
assert full_img is not None, "Path is wrong"
full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
@ -22,17 +33,33 @@ hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
# cv2.imshow('HSV - S',hsv_img[:, :, 1])
# cv2.imshow('HSV - V',hsv_img[:, :, 2])
print("BGR")
mean, std = imgStats(bgr_img)
print(mean)
print(std)
print()
hist = cv2.calcHist([bgr_img], [0], None, [256], [0,256])
plt.plot(hist, label='B', c='b')
hist = cv2.calcHist([bgr_img], [1], None, [256], [0,256])
plt.plot(hist, label='G', c='g')
hist = cv2.calcHist([bgr_img], [2], None, [256], [0,256])
plt.plot(hist, label='R', c='r')
plt.grid()
plt.legend()
plt.show()
print("HSV")
mean, std = imgStats(hsv_img)
print(mean)
print(std)
hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
plt.plot(hist, label='H')
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()