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bw_to_video.py
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bw_to_video.py
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from imutils.video import VideoStream
import numpy as np
import argparse
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", type=str,
help="path to optional input video (webcam will be used otherwise)")
ap.add_argument("-p", "--prototxt", type=str, required=True,
help="path to Caffe prototxt file")
ap.add_argument("-m", "--model", type=str, required=True,
help="path to Caffe pre-trained model")
ap.add_argument("-c", "--points", type=str, required=True,
help="path to cluster center points")
ap.add_argument("-w", "--width", type=int, default=500,
help="input width dimension of frame")
args = vars(ap.parse_args())
webcam = not args.get("input", False)
if webcam:
print("[INFO] starting video stream...")
vs = VideoStream(src=0).start()
time.sleep(2.0)
else:
print("[INFO] opening video file...")
vs = cv2.VideoCapture(args["input"])
print("[INFO] loading model...")
net = cv2.dnn.readNetFromCaffe(args["prototxt"], args["model"])
pts = np.load(args["points"])
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")]
while True:
frame = vs.read()
frame = frame if webcam else frame[1]
if not webcam and frame is None:
break
frame = imutils.resize(frame, width=args["width"])
scaled = frame.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, (frame.shape[1], frame.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", frame)
cv2.imshow("Grayscale", cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY))
cv2.imshow("Colorized", colorized)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
if webcam:
vs.stop()
else:
vs.release()
cv2.destroyAllWindows()