import imageutils
import cv2
def rotated(image, degrees, x_offset=None, y_offset=None):
(h, w) = image.shape[:2]
(cX, cY) = (w / 2, h / 2)
if x_offset is int:
cX += x_offset
if y_offset is int:
cY += y_offset
rot_mat = cv2.getRotationMatrix2D((cX, cY), degrees, 1.0)
return cv2.warpAffine(image, rot_mat, (w, h))
image = imageutils.image_arg()
cv2.imshow("Original", image)
cv2.imshow("Rotated by 45 degrees counter-clockwise", rotated(image, 45))
cv2.imshow("Rotated by 45 degrees c-c minus 50px offset on both axis", rotated(image, 45, x_offset=-50, y_offset=-50))
cv2.waitKey(0)
import numpy as np
import matplotlib
matplotlib.use('macosx')
from matplotlib import pyplot as plt
from imageutils import image_arg
def plot_histogram(image, title, mask=None):
chans = cv2.split(image)
colors = ("b", "g", "r")
plt.figure()
plt.title(title)
plt.xlabel("Bins")
plt.ylabel("# of Pixels")
for chan, color in zip(chans, colors):
hist = cv2.calcHist([chan], [0], mask, [256], [0, 256])
plt.plot(hist, color=color)
plt.xlim([0, 256])
image = image_arg()
cv2.imshow("Original", image)
plot_histogram(image, "Histogram for Original")
mask = np.zeros(image.shape[:2], dtype="uint8")
cv2.rectangle(mask, (60, 290), (210, 390), 255, -1)
cv2.imshow("Mask", mask)
masked = cv2.bitwise_and(image, image, mask=mask)
plot_histogram(image, "Histogram for Masked", mask=mask)
cv2.imshow("Masked", masked)
plt.show()
import cv2
from imageutils import image_arg
def empty_canvas():
return np.zeros(img.shape[:2], dtype="uint8")
def circle_mask():
mask = empty_canvas()
cv2.circle(mask, (145, 200), radius=100, color=255, thickness=-1)
return mask
def rect_mask():
mask = empty_canvas()
cv2.rectangle(mask, (0, 90), (290, 450), color=255, thickness=-1)
return mask
img = image_arg()
r_mask = rect_mask()
c_mask = circle_mask()
r_masked_img = cv2.bitwise_and(img, img, mask=r_mask)
c_masked_img = cv2.bitwise_and(img, img, mask=c_mask)
cv2.imshow("Original", img)
cv2.imshow("Mask", r_mask)
cv2.imshow("Rect masked image", r_masked_img)
cv2.imshow("Circle masked image", c_masked_img)
cv2.waitKey(0)
