def select_roi(image=None):
image = get_image(image)
roi = image[2200:2500, 1500:1700]
print(roi)
# Cropped and pasted a region in another part of image
image[100:400, 100:300] = roi
display_image(image)
def display_channel(image=None, channel=0):
image = get_image(image)
img_copy = image.copy()
for i in range(0, 3):
if i == channel:
continue
img_copy[:, :, i] = 0
display_image(img_copy)
def image_transition(img, prev_img):
display_image(prev_img, wait_key=3000, destroy_windows=False)
img = cv2.resize(img, (1600, 900))
prev_img = cv2.resize(prev_img, (1600, 900))
print("resized images")
for alpha in range(0, 6):
mix = cv2.addWeighted(prev_img, (5 - alpha) / 5.0, img, alpha / 5.0, 0)
display_image(mix, wait_key=50, destroy_windows=False)
def open_cv_logo(img=None):
img = get_image(img)
img = cv2.ellipse(img, (200, 100), (50, 50), 145, 250, 0, (0, 0, 255),
50) # Red
img = cv2.ellipse(img, (120, 220), (50, 50), 0, 250, 0, (0, 255, 0),
50) # Green
img = cv2.ellipse(img, (280, 220), (50, 50), 320, 250, 0, (255, 0, 0),
50) # Blue
display_image(img)
def slideshow(dir_path):
files = get_files_in_folder(dir_path)
prev_img = None
for file_ in files:
# Display only jpg files
if file_.endswith(".jpg"):
img = cv2.imread(os.path.join(dir_path, file_))
if prev_img is not None:
print("transitioning image: {}".format(file_))
image_transition(img, prev_img)
else:
print("displaying image: {}".format(file_))
display_image(img, wait_key=2000, destroy_windows=False)
prev_img = img
else:
print("File: {} will not be displayed".format(file_))
def paste_logo_over_image(img1, img2):
# Creating region of interest
rows, cols, channels = img2.shape
roi = img1[0:rows, 0:cols]
# Create mask of logos and its inverse mask.
img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
ret, mask = cv2.threshold(img2gray, 10, 255,
cv2.THRESH_BINARY) # This will enhance contrast thus showcasing logo in white
inv_mask = cv2.bitwise_not(mask)
# Blackout area of logo in ROI
img1_bg = cv2.bitwise_and(roi, roi, mask=inv_mask)
img2_fg = cv2.bitwise_and(img2, img2, mask=mask)
# Put log in image
dst = cv2.add(img1_bg, img2_fg)
img1[0:rows, 0:cols] = dst
display_image(img1)
def splitting_channels(image=None):
image = get_image(image)
b, g, r = cv2.split(image)
print(b.shape)
# Displaying only a channel will display a grey image
display_image(b)