forked from 170010011/fr
52 lines
1.0 KiB
Python
Executable File
52 lines
1.0 KiB
Python
Executable File
from skimage.io import imread, imshow, imsave
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from skimage.transform import resize
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from skimage.feature import hog
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from skimage import exposure
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import matplotlib.pyplot as plt
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import sys
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import cv2
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import numpy as np
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import ntpath
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def display_image(img):
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plt.imshow(img)
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plt.show()
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def path_leaf(path):
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head, tail = ntpath.split(path)
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return tail or ntpath.basename(head)
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if len(sys.argv) < 2:
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print("no input image")
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exit(1)
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if len(sys.argv) < 3:
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print("no output folder")
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exit(1)
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op_path = sys.argv[2]
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img = imread(sys.argv[1], as_gray=True)
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print(img.shape)
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##resizing to 1:2 aspect ratio for easier calc
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# resized_img = resize(img,(1024,512))
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resized_img = img
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print(resized_img.shape)
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# display_image(resized_img)
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# calc hog
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fd, hog_img = hog(resized_img,
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orientations=9,
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pixels_per_cell=(2,2),
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cells_per_block=(2,2),
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visualize=True,
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multichannel=False )
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# display_image(hog_img)
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hog_img = np.array(hog_img, dtype='uint8')
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imsave( op_path + "/hog_of" + path_leaf(sys.argv[1]), hog_img)
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