#!/usr/bin/env python
from __future__ import absolute_import, division, print_function

import sys

import numpy as np
from PIL import Image

import imagehash

hashfuncs = [
	('ahash', imagehash.average_hash),
	('phash', imagehash.phash),
	('dhash', imagehash.dhash),
	('whash-haar', imagehash.whash),
	('whash-db4', lambda img: imagehash.whash(img, mode='db4')),
	('colorhash', imagehash.colorhash),
]


def alpharemover(image):
	if image.mode != 'RGBA':
		return image
	canvas = Image.new('RGBA', image.size, (255, 255, 255, 255))
	canvas.paste(image, mask=image)
	return canvas.convert('RGB')


def image_loader(hashfunc, hash_size=8):
	def function(path):
		image = alpharemover(Image.open(path))
		return hashfunc(image)
	return function


def with_ztransform_preprocess(hashfunc, hash_size=8):
	def function(path):
		image = alpharemover(Image.open(path))
		image = image.convert('L').resize((hash_size, hash_size), Image.ANTIALIAS)
		data = image.getdata()
		quantiles = np.arange(100)
		quantiles_values = np.percentile(data, quantiles)
		zdata = (np.interp(data, quantiles_values, quantiles) / 100 * 255).astype(np.uint8)
		image.putdata(zdata)
		return hashfunc(image)
	return function


hashfuncopeners = [(name, image_loader(func)) for name, func in hashfuncs]
hashfuncopeners += [(name + '-z', with_ztransform_preprocess(func)) for name, func in hashfuncs if name != 'colorhash']

files = sys.argv[1:]
for path in files:
	hashes = [str(hashfuncopener(path)) for name, hashfuncopener in hashfuncopeners]
	print(path, ' '.join(hashes))
	# print(path, colorhash(path))