def instagram_filter(im, filter_):
buffer = BytesIO()
im = Image.open(im)
filter_ = filter_.lower()
if filter_ == "_1977":
pilgram._1977(im).save(buffer, format="png")
elif filter_ == "aden":
pilgram.aden(im).save(buffer, format="png")
elif filter_ == "brannan":
pilgram.brannan(im).save(buffer, format="png")
elif filter_ == "brooklyn":
pilgram.brooklyn(im).save(buffer, format="png")
elif filter_ == "clarendon":
pilgram.clarendon(im).save(buffer, format="png")
elif filter_ == "gingham":
pilgram.gingham(im).save(buffer, format="png")
elif filter_ == "hudson":
pilgram.hudson(im).save(buffer, format="png")
elif filter_ == "inkwell":
pilgram.inkwell(im).save(buffer, format="png")
elif filter_ == "earlybird":
pilgram.earlybird(im).save(buffer, format="png")
elif filter_ == "kelvin":
pilgram.kelvin(im).save(buffer, format="png")
elif filter_ == "lark":
pilgram.lark(im).save(buffer, format="png")
elif filter_ == "lofi":
pilgram.lofi(im).save(buffer, format="png")
elif filter_ == "maven":
pilgram.maven(im).save(buffer, format="png")
elif filter_ == "mayfair":
pilgram.mayfair(im).save(buffer, format="png")
elif filter_ == "moon":
pilgram.moon(im).save(buffer, format="png")
elif filter_ == "nashville":
pilgram.nashville(im).save(buffer, format="png")
elif filter_ == "perpetua":
pilgram.perpetua(im).save(buffer, format="png")
elif filter_ == "reyes":
pilgram.reyes(im).save(buffer, format="png")
elif filter_ == "rise":
pilgram.rise(im).save(buffer, format="png")
elif filter_ == "slumber":
pilgram.slumber(im).save(buffer, format="png")
elif filter_ == "stinson":
pilgram.stinson(im).save(buffer, format="png")
elif filter_ == "toaster":
pilgram.toaster(im).save(buffer, format="png")
elif filter_ == "valencia":
pilgram.valencia(im).save(buffer, format="png")
elif filter_ == "walden":
pilgram.walden(im).save(buffer, format="png")
elif filter_ == "willow":
pilgram.willow(im).save(buffer, format="png")
elif filter_ == "xpro2":
pilgram.xpro2(im).save(buffer, format="png")
else:
return "Nama Filter Belum Tersedia"
return buffer
def apply_gingham(image, id):
result = pilgram.gingham(image)
#a = np.asarray(copyim)[:, :, ::-1].copy()
BackToSwift().prepare_data(type=ResultType.image.value,
node_id=id,
data=result,
tool_type="pil",
extension="jpg")
return result
elif filter == 'brooklyn':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.brooklyn(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'clarendon':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.clarendon(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'earlybird':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.earlybird(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'gingham':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.gingham(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'hudson':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.hudson(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'inkwell':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.inkwell(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'kelvin':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
pilgram.kelvin(Image.open(os.path.join(original_images_dir_path, original_image_file))).save(os.path.join(_path, original_image_file))
elif filter == 'lark':
_path = os.path.join(split_root, filter)
os.makedirs(_path, exist_ok=True)
def test_gingham():
im = util.fill((32, 32), [255] * 3)
gingham(im)
def apply_gingham(image):
copyim = Image.fromarray(image)
filtered = pilgram.gingham(copyim)
imcv = np.asarray(filtered)[:, :, ::-1].copy()
return imcv
def Gingham(image):
return pilgram.gingham(image)