@@ -0,0 +1,82 @@
+#!E:\网络与新媒体\github\pythonlearning\Scripts\python.exe
+from __future__ import absolute_import, division, print_function
+
+from PIL import Image
+
+import imagehash
+
+"""
+Demo of hashing
+"""
+
+
+def find_similar_images(userpaths, hashfunc=imagehash.average_hash):
+	def is_image(filename):
+		f = filename.lower()
+		return f.endswith('.png') or f.endswith('.jpg') or \
+			f.endswith('.jpeg') or f.endswith('.bmp') or \
+			f.endswith('.gif') or '.jpg' in f or f.endswith('.svg')
+
+	image_filenames = []
+	for userpath in userpaths:
+		image_filenames += [os.path.join(userpath, path) for path in os.listdir(userpath) if is_image(path)]
+	images = {}
+	for img in sorted(image_filenames):
+		try:
+			hash = hashfunc(Image.open(img))
+		except Exception as e:
+			print('Problem:', e, 'with', img)
+			continue
+		if hash in images:
+			print(img, '  already exists as', ' '.join(images[hash]))
+			if 'dupPictures' in img:
+				print('rm -v', img)
+		images[hash] = images.get(hash, []) + [img]
+
+	# for k, img_list in six.iteritems(images):
+	# 	if len(img_list) > 1:
+	# 		print(" ".join(img_list))
+
+
+if __name__ == '__main__':  # noqa: C901
+	import os
+	import sys
+
+	def usage():
+		sys.stderr.write("""SYNOPSIS: %s [ahash|phash|dhash|...] [<directory>]
+
+Identifies similar images in the directory.
+
+Method:
+  ahash:          Average hash
+  phash:          Perceptual hash
+  dhash:          Difference hash
+  whash-haar:     Haar wavelet hash
+  whash-db4:      Daubechies wavelet hash
+  colorhash:      HSV color hash
+  crop-resistant: Crop-resistant hash
+
+(C) Johannes Buchner, 2013-2017
+""" % sys.argv[0])
+		sys.exit(1)
+
+	hashmethod = sys.argv[1] if len(sys.argv) > 1 else usage()
+	if hashmethod == 'ahash':
+		hashfunc = imagehash.average_hash
+	elif hashmethod == 'phash':
+		hashfunc = imagehash.phash
+	elif hashmethod == 'dhash':
+		hashfunc = imagehash.dhash
+	elif hashmethod == 'whash-haar':
+		hashfunc = imagehash.whash
+	elif hashmethod == 'whash-db4':
+		def hashfunc(img):
+			return imagehash.whash(img, mode='db4')
+	elif hashmethod == 'colorhash':
+		hashfunc = imagehash.colorhash
+	elif hashmethod == 'crop-resistant':
+		hashfunc = imagehash.crop_resistant_hash
+	else:
+		usage()
+	userpaths = sys.argv[2:] if len(sys.argv) > 2 else '.'
+	find_similar_images(userpaths=userpaths, hashfunc=hashfunc)