nndl course proj
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from skimage.io import imread, imshow
from skimage.transform import resize
from skimage.feature import hog
from skimage import exposure
import matplotlib.pyplot as plt
import sys
def display_image(img):
plt.imshow(img)
plt.show()
if len(sys.argv) < 2:
print("no input image")
exit(1)
img = imread(sys.argv[1], as_gray=True)
print(img.shape)
##resizing to 1:2 aspect ratio for easier calc
resized_img = resize(img,(1024,512))
print(resized_img.shape)
display_image(resized_img)
fd, hog_img = hog(resized_img,
orientations=9,
pixels_per_cell=(4,4),
cells_per_block=(2,2),
visualize=True,
multichannel=False )
display_image(hog_img)