msg

app.py

@@ -11,30 +11,30 @@ model = from_pretrained_keras("keras-io/super-resolution")
 model.summary()
 
 def infer(image):
-	img = Image.fromarray(image)
-	# img = img.resize((100,100))
+   img = Image.fromarray(image)
+   # img = img.resize((100,100))
    img = img.crop((0,100,0,100))
-	ycbcr = img.convert("YCbCr")
-	y, cb, cr = ycbcr.split()
-	y = img_to_array(y)
-	y = y.astype("float32") / 255.0
-
-	input = np.expand_dims(y, axis=0)
-	out = model.predict(input)
-
-	out_img_y = out[0]
-	out_img_y *= 255.0
-
-	# Restore the image in RGB color space.
-	out_img_y = out_img_y.clip(0, 255)
-	out_img_y = out_img_y.reshape((np.shape(out_img_y)[0], np.shape(out_img_y)[1]))
-	out_img_y = Image.fromarray(np.uint8(out_img_y), mode="L")
-	out_img_cb = cb.resize(out_img_y.size, Image.BICUBIC)
-	out_img_cr = cr.resize(out_img_y.size, Image.BICUBIC)
-	out_img = Image.merge("YCbCr", (out_img_y, out_img_cb, out_img_cr)).convert(
-		"RGB"
-	)
-	return (img,out_img)
+   ycbcr = img.convert("YCbCr")
+   y, cb, cr = ycbcr.split()
+   y = img_to_array(y)
+   y = y.astype("float32") / 255.0
+
+   input = np.expand_dims(y, axis=0)
+   out = model.predict(input)
+
+   out_img_y = out[0]
+   out_img_y *= 255.0
+
+   # Restore the image in RGB color space.
+   out_img_y = out_img_y.clip(0, 255)
+   out_img_y = out_img_y.reshape((np.shape(out_img_y)[0], np.shape(out_img_y)[1]))
+   out_img_y = Image.fromarray(np.uint8(out_img_y), mode="L")
+   out_img_cb = cb.resize(out_img_y.size, Image.BICUBIC)
+   out_img_cr = cr.resize(out_img_y.size, Image.BICUBIC)
+   out_img = Image.merge("YCbCr", (out_img_y, out_img_cb, out_img_cr)).convert(
+   "RGB"
+   )
+   return (img,out_img)
 	
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1609.05158' target='_blank'>Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network</a></p><center> <a href='https://keras.io/examples/vision/super_resolution_sub_pixel/' target='_blank'>Image Super-Resolution using an Efficient Sub-Pixel CNN</a></p> <center>Contributors: <a href='https://twitter.com/Cr0wley_zz'>Devjyoti Chakraborty</a>|<a href='https://twitter.com/ritwik_raha'>Ritwik Raha</a>|<a href='https://twitter.com/ariG23498'>Aritra Roy Gosthipaty</a></center>"