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zhai_pro
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Jan 20, 2019
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# coding: utf-8 | ||
import pathlib | ||
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import cv2 | ||
import numpy as np | ||
import scipy.fftpack | ||
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def avhash(im): | ||
im = cv2.resize(im, (8, 8), interpolation=cv2.INTER_CUBIC) | ||
avg = im.mean() | ||
im = im > avg | ||
im = np.packbits(im) | ||
return im | ||
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def phash(im): | ||
im = cv2.resize(im, (32, 32), interpolation=cv2.INTER_CUBIC) | ||
im = scipy.fftpack.dct(scipy.fftpack.dct(im, axis=0), axis=1) | ||
im = im[:8, :8] | ||
med = np.median(im) | ||
im = im > med | ||
im = np.packbits(im) | ||
return im | ||
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def phash_simple(im): | ||
im = cv2.resize(im, (32, 32), interpolation=cv2.INTER_CUBIC) | ||
im = scipy.fftpack.dct(im) | ||
im = im[:8, 1:8 + 1] | ||
avg = im.mean() | ||
im = im > avg | ||
im = np.packbits(im) | ||
return im | ||
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def dhash(im): | ||
im = cv2.resize(im, (8 + 1, 8), interpolation=cv2.INTER_CUBIC) | ||
im = im[:, 1:] > im[:, :-1] | ||
im = np.packbits(im) | ||
return im | ||
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def dhash_vertical(im): | ||
im = cv2.resize(im, (8, 8 + 1), interpolation=cv2.INTER_CUBIC) | ||
im = im[1:, :] > im[:-1, :] | ||
im = np.packbits(im) | ||
return im | ||
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def whash(im): | ||
pass | ||
# 不是说我不做,我是真的看不懂其源码 | ||
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def verify(_hash): | ||
# 用验证集测试各哈希函数的效果 | ||
data = np.load('captcha.npz') | ||
images, labels = data['images'], data['labels'] | ||
print(images.shape) | ||
himages = {} | ||
for idx, (img, label) in enumerate(zip(images, labels)): | ||
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | ||
img = _hash(img) | ||
img.dtype = np.uint64 | ||
img = img[0] | ||
if himages.get(img, (label,))[0] != label: | ||
cv2.imwrite(f'errors/{idx}.{label}.jpg', images[idx]) | ||
pre_label, pre_idx = himages[img] | ||
cv2.imwrite(f'errors/{idx}.{pre_label}.jpg', images[pre_idx]) | ||
else: | ||
himages[img] = label, idx | ||
print(len(himages)) | ||
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if __name__ == '__main__': | ||
pathlib.Path('errors').mkdir(exist_ok=True) | ||
# verify(avhash) | ||
# 我觉得下面这个是最佳的 | ||
verify(phash) | ||
# verify(phash_simple) | ||
# verify(dhash) | ||
# verify(dhash_vertical) |