def normalize(relativePath, offsetX=None, offsetY=None, dryRun=True):
images = core.get_files_in_folder(core.PNG_PATH + relativePath)
maxWidth = 0
maxHeight = 0
maxWidthImageName = ""
maxHeightImageName = ""
for image in images:
im = Image.open(core.get_image_path(image, core.PNG_PATH))
if (im.size[0] > maxWidth):
maxWidth = im.size[0]
maxWidthImageName = image
if (im.size[1] > maxHeight):
maxHeight = im.size[1]
maxHeightImageName = image
print "size.max = (%s,%s), names=(%s,%s)" % (maxWidth, maxHeight, maxWidthImageName, maxHeightImageName)
for image in images:
newImage = Image.new("RGBA", (maxWidth, maxHeight))
oldImage = Image.open(core.get_image_path(image, core.PNG_PATH))
offsetX_ = offsetX if offsetX is not None else (maxWidth-oldImage.size[0])/2
offsetY_ = offsetY if offsetY is not None else (maxHeight-oldImage.size[1])/2
newImage.paste(oldImage, (offsetX_, offsetY_))
if not dryRun:
newImage.save(core.get_image_path(image, core.PNG_PATH))
print "Normalizing: %s, %s, offset=(%s,%s)" % (image, oldImage.size, offsetX_, offsetY_)
def normalize_hair():
hairColors = ["Black", "Blonde", "Brown 1", "Brown 2", "Grey", "Red", "Tan", "White"]
# gender = "Man"
# gender = "Woman"
gender = "an" # "an" is contained in both "Man" and "Woman"
for hairColor in hairColors:
folder = "Hair" + "/" + hairColor
images = [image for image in core.get_files_in_folder(core.PNG_PATH + "Hair" + "/" + hairColor)]
images = [image for image in images if image.find(gender) >= 0]
print "Analyzing %s" % (folder)
maxWidth = 0
maxHeight = 0
maxWidthImageName = ""
maxHeightImageName = ""
for image in images:
im = Image.open(core.get_image_path(image, core.PNG_PATH))
if (im.size[0] > maxWidth):
maxWidth = im.size[0]
maxWidthImageName = image
if (im.size[1] > maxHeight):
maxHeight = im.size[1]
maxHeightImageName = image
print "size.max = (%s,%s), names=(%s,%s)" % (maxWidth, maxHeight, maxWidthImageName, maxHeightImageName)
for image in images:
newImage = Image.new("RGBA", (maxWidth, maxHeight))
oldImage = Image.open(core.get_image_path(image, core.PNG_PATH))
offsetX = 0
offsetY = 0
# Male
# offsetX = 0
# offsetY = (maxHeight - oldImage.size[1])
# Female
# offsetX = (maxWidth - oldImage.size[0])/2
# offsetY = 0
# an
# Only do this after normalizing both male and females!
if image.find("Woman") >= 0:
offsetX = (maxWidth - oldImage.size[0])/2
offsetY = 0
elif image.find("Man") >= 0:
offsetX = 7 # magic number from photoshop
offsetY = -18 # magic number from photoshop
newImage.paste(oldImage, (offsetX, offsetY))
newImage.save(core.get_image_path(image, core.PNG_PATH))
print "Normalizing: %s, %s, offset=(%s,%s)" % (image, oldImage.size, offsetX, offsetY)
def main():
images = core.get_files_in_folder(SPINE_IMAGES_PATH)
for image in images:
if image == ".DS_Store":
continue
imageName = image.split("-")[1]
src = core.get_image_path(imageName, core.PNG_PATH)
dst = SPINE_IMAGES_PATH + image
shutil.copyfile(src, dst)
print "Copying from %s to %s ..." % (src, dst)
def normalize_shirts_or_pants(shirtsOrPants="Shirts"):
shirtsFolder = core.PNG_PATH + shirtsOrPants
images = [image for image in core.get_files_in_folder(shirtsFolder) if is_shirt(image)]
prefixes = list(set([image.split("_")[0] for image in images]))
for prefix in prefixes:
print "Normalizing %s" % (prefix)
longImage = Image.open(core.get_image_path(prefix + "_long.png", core.PNG_PATH))
shortImage = Image.open(core.get_image_path(prefix + "_short.png", core.PNG_PATH))
shorterImage = Image.open(core.get_image_path(prefix + "_shorter.png", core.PNG_PATH))
newShortImage = Image.new("RGBA", longImage.size)
newShortImage.paste(shortImage, (0, 0))
newShortImage.save(core.get_image_path(prefix + "_short.png", core.PNG_PATH))
newShorterImage = Image.new("RGBA", longImage.size)
newShorterImage.paste(shorterImage, (0, 0))
newShorterImage.save(core.get_image_path(prefix + "_shorter.png", core.PNG_PATH))