from inception.image.matte.bordermatte import *
if __name__ == '__main__':
from inception.image.image import Image
#image = Image.from_filepath("../../../../test/images/buff_small.png")#traditional-buffets-and-sideboards.jpg")
image = Image.from_filepath("../../../../test/images/traditional-buffets-and-sideboards.jpg")
image = Image.from_filepath("../../../../test/images/cookiejar.jpg")
#image = Image.from_filepath("../../../../test/images/buff_small.png")
import time
t1 = time.time()
print("Starting")
result = alphamatte(image.data)
t2 = time.time()
print("Done (in %2.2f seconds)!" % (t2-t1))
filename = image.filename
image.to_rgba()
image[..., 3] = result
"""
image = image[...,0]
image = Image(image)
image.to_rgb()
image[..., 0] = result
image[..., 1] = result
image[..., 2] = result
"""
from inception.image.shadow.shadow import *
if __name__ == '__main__':
import os
from inception.image.image import Image
from inception.image.matte.bordermatte import alphamatte
from inception.image.operation.merge import MergeOperation
from inception.image.operation.scale import ScaleOperation
from PIL import Image as PILImage
image = Image.from_filepath("../../../../test/images/traditional-buffets-and-sideboards.jpg")
bg = Image.from_filepath("../../../../test/images/vanishing.jpg")
result = alphamatte(image.data)
filename = image.filename
image.to_rgba()
image[..., 3] = result
image = ScaleOperation(image, image.width/3.0).run()
offset = 20, 200
pickle_path = bg.filename.rsplit('.', 1)[0] + '.scene.pkl'
#pickle_path = bg.filename.rsplit('/',1)[0] + '/definitive.vanishing.pkl'
import cPickle
if (os.path.exists(pickle_path)):
with open(pickle_path, 'r') as f:
sd = cPickle.load(f)
print("Detected vanishing points (x,y,z): %s" % sd.get_vanishing_points())
print("Focal length: %s" % sd.focal_length)
print(sd.vpestimator.vanishing_points)
from inception.image.analyze import *
if __name__ == '__main__':
import os
import urllib, cStringIO
from inception.image.image import Image
urlfilepath = "../../../test/urls.txt"
urls = []
if os.path.exists(urlfilepath):
with open(urlfilepath) as fileobj:
urls = [l.strip() for l in fileobj.readlines() if l.strip()]
for url in urls:
fileobj = cStringIO.StringIO(urllib.urlopen(url).read())
img = Image.from_any(fileobj)
print validate_as_foreground(img), url
print("DONE")
"""
from inception.image.image import Image
from inception.image.operation import merge
import os, glob
testdir = os.path.abspath(os.path.dirname(__file__) + '/../../../../test/images/statadjust')
#mattes = glob.glob(testdir + "/brigh*_small_matte.jpg")
mattes = glob.glob(testdir + "/ice_stand_small_matte.jpg")
#mattes.extend(glob.glob(testdir + "/col*_small_matte.jpg"))
mattes.extend(glob.glob(testdir + "/dance_small_matte.jpg"))
backgrounds = [a.rsplit("_matte.jpg",1)[0] + ".jpg" for a in mattes]
foregroundImages = []
backgroundImages = []
for i, matte in enumerate(mattes):
backgroundImages.append(Image.from_filepath(backgrounds[i]))
matteImage = Image.from_filepath(matte)
foregroundImage = backgroundImages[-1].clone()
foregroundImage.to_rgba()
foregroundImage[..., 3] = linear_to_srgb(getluminance(srgb_to_linear(matteImage.data)))
foregroundImages.append(foregroundImage)
foregroundImage.filename = matteImage.filename
# test the images
for i in range(len(backgroundImages)):
bg = backgroundImages[i]
fg = i + 1 if (i < len(backgroundImages) - 1) else 0
fg = foregroundImages[fg]
print("-------- Running on %s over %s ----------" % (os.path.basename(fg.filename), os.path.basename(bg.filename)))
results = statadjust(fg.data, bg.data, intermediary_results=True)
