本文整理匯總了Python中PIL.ImageFilter.UnsharpMask方法的典型用法代碼示例。如果您正苦於以下問題：Python ImageFilter.UnsharpMask方法的具體用法？Python ImageFilter.UnsharpMask怎麽用？Python ImageFilter.UnsharpMask使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類PIL.ImageFilter的用法示例。
在下文中一共展示了ImageFilter.UnsharpMask方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: decoder_retraining_dataset
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def decoder_retraining_dataset(self):
"""
Generating the dataset for the decoder retraining technique with unsharp masking
:return: training samples and labels for decoder retraining
"""
model = self.model
data = self.data
args = self.args
x_recon = self.reconstructions
(x_train, y_train), (x_test, y_test) = data
if not os.path.exists(args.save_dir+"/check"):
os.makedirs(args.save_dir+"/check")
if not os.path.exists(args.save_dir+"/check/x_decoder_retrain.npy"):
for q in range(0,x_recon.shape[0]):
save_img = Image.fromarray((x_recon[q]*255).reshape(28,28).astype(np.uint8))
image_more_sharp = save_img.filter(ImageFilter.UnsharpMask(radius=1, percent=1000, threshold=1))
img_arr = np.asarray(image_more_sharp)
img_arr = img_arr.reshape(-1,28,28,1).astype('float32') / 255.
if (q==0):
x_recon_sharped = np.concatenate([img_arr])
else:
x_recon_sharped = np.concatenate([x_recon_sharped,img_arr])
self.save_output_image(x_recon_sharped[:100],"sharpened reconstructions")
x_decoder_retrain = self.masked_inst_parameter
y_decoder_retrain = x_recon_sharped
np.save(args.save_dir+"/check/x_decoder_retrain",x_decoder_retrain)
np.save(args.save_dir+"/check/y_decoder_retrain",y_decoder_retrain)
else:
x_decoder_retrain = np.load(args.save_dir+"/check/x_decoder_retrain.npy")
y_decoder_retrain = np.load(args.save_dir+"/check/y_decoder_retrain.npy")
return x_decoder_retrain,y_decoder_retrain 示例2: test_sanity
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def test_sanity(self):
def filter(filter):
for mode in ["L", "RGB", "CMYK"]:
im = hopper(mode)
out = im.filter(filter)
self.assertEqual(out.mode, im.mode)
self.assertEqual(out.size, im.size)
filter(ImageFilter.BLUR)
filter(ImageFilter.CONTOUR)
filter(ImageFilter.DETAIL)
filter(ImageFilter.EDGE_ENHANCE)
filter(ImageFilter.EDGE_ENHANCE_MORE)
filter(ImageFilter.EMBOSS)
filter(ImageFilter.FIND_EDGES)
filter(ImageFilter.SMOOTH)
filter(ImageFilter.SMOOTH_MORE)
filter(ImageFilter.SHARPEN)
filter(ImageFilter.MaxFilter)
filter(ImageFilter.MedianFilter)
filter(ImageFilter.MinFilter)
filter(ImageFilter.ModeFilter)
filter(ImageFilter.GaussianBlur)
filter(ImageFilter.GaussianBlur(5))
filter(ImageFilter.BoxBlur(5))
filter(ImageFilter.UnsharpMask)
filter(ImageFilter.UnsharpMask(10))
self.assertRaises(TypeError, filter, "hello") 示例3: test_filter_api
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def test_filter_api(self):
test_filter = ImageFilter.GaussianBlur(2.0)
i = im.filter(test_filter)
self.assertEqual(i.mode, "RGB")
self.assertEqual(i.size, (128, 128))
test_filter = ImageFilter.UnsharpMask(2.0, 125, 8)
i = im.filter(test_filter)
self.assertEqual(i.mode, "RGB")
self.assertEqual(i.size, (128, 128)) 示例4: test_usm_formats
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def test_usm_formats(self):
usm = ImageFilter.UnsharpMask
self.assertRaises(ValueError, im.convert("1").filter, usm)
im.convert("L").filter(usm)
self.assertRaises(ValueError, im.convert("I").filter, usm)
self.assertRaises(ValueError, im.convert("F").filter, usm)
im.convert("RGB").filter(usm)
im.convert("RGBA").filter(usm)
im.convert("CMYK").filter(usm)
self.assertRaises(ValueError, im.convert("YCbCr").filter, usm) 示例5: test_usm_accuracy
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def test_usm_accuracy(self):
src = snakes.convert('RGB')
i = src.filter(ImageFilter.UnsharpMask(5, 1024, 0))
# Image should not be changed because it have only 0 and 255 levels.
self.assertEqual(i.tobytes(), src.tobytes()) 示例6: unsharp_mask
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import UnsharpMask [as 別名]
def unsharp_mask(src, p):
if np.random.uniform() < p:
tmp = Image.fromarray(src)
percent = random.randint(10, 90)
threshold = random.randint(0, 5)
mask = ImageFilter.UnsharpMask(percent=percent, threshold=threshold)
dst = np.array(tmp.filter(mask), dtype=np.uint8)
return dst
else:
return src