Upload black_white_to_color.py

black_white_to_color.py

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+import numpy as np 
+import cv2
+from cv2 import dnn
+
+print("loading models.....")
+net = cv2.dnn.readNetFromCaffe('colorization_deploy_v2.prototxt','colorization_release_v2.caffemodel')
+pts = np.load('pts_in_hull.npy')
+
+
+class8 = net.getLayerId("class8_ab")
+conv8 = net.getLayerId("conv8_313_rh")
+pts = pts.transpose().reshape(2,313,1,1)
+
+net.getLayer(class8).blobs = [pts.astype("float32")]
+net.getLayer(conv8).blobs = [np.full([1,313],2.606,dtype='float32')]
+
+
+image = cv2.imread('nnl.jpg')
+scaled = image.astype("float32")/255.0
+lab = cv2.cvtColor(scaled,cv2.COLOR_BGR2LAB)
+
+
+resized = cv2.resize(lab,(224,224))
+L = cv2.split(resized)[0]
+L -= 50
+
+
+net.setInput(cv2.dnn.blobFromImage(L))
+ab = net.forward()[0, :, :, :].transpose((1,2,0))
+
+ab = cv2.resize(ab, (image.shape[1],image.shape[0]))
+
+L = cv2.split(lab)[0]
+colorized = np.concatenate((L[:,:,np.newaxis], ab), axis=2)
+
+colorized = cv2.cvtColor(colorized,cv2.COLOR_LAB2BGR)
+colorized = np.clip(colorized,0,1)
+
+colorized = (255 * colorized).astype("uint8")
+
+cv2.imshow("Original",image)
+cv2.imshow("Colorized",colorized)
+cv2.waitKey(0)