Delete black_white_to_color.py

black_white_to_color.py

@@ -1,43 +0,0 @@
-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)