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import argparse
import cv2
import numpy as np
from creedsolo import RSCodec
from raptorq import Decoder
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("file", help="output file for decoded data")
parser.add_argument("--len", help="number of bytes to decode", default=2**16, type=int)
parser.add_argument("--height", help="grid height", default=100, type=int)
parser.add_argument("--width", help="grid width", default=100, type=int)
parser.add_argument("--fps", help="framerate", default=30, type=int)
parser.add_argument("--level", help="error correction level", default=0.1, type=float)
parser.add_argument("--device", help="camera device index", default=1, type=int)
args = parser.parse_args()
cheight = args.height // 10
cwidth = args.width // 10
frame_size = args.height * args.width - 4 * cheight * cwidth
frame_xor = np.arange(frame_size, dtype=np.uint8)
rs_size = int(frame_size * (1 - args.level))
rsc = RSCodec(frame_size - rs_size)
raptor_decoder = Decoder.with_defaults(args.len, rs_size)
data = None
cap = cv2.VideoCapture(args.device)
while data is None:
ret, raw_frame = cap.read()
if not ret:
continue
color_frame = decode(raw_frame) # TODO
frame = (
(color_frame[:, :, 0] >> 5 & 0b00000111)
+ (color_frame[:, :, 1] >> 2 & 0b00111000)
+ (color_frame[:, :, 2] & 0b11000000)
)
frame_data = np.concatenate(
(
frame[:cheight, cwidth : args.width - cwidth].flatten(),
frame[cheight : args.height - cheight].flatten(),
frame[args.heigth - cheight, cwidth : args.width - cwidth].flatten(),
)
)
data = raptor_decoder.decode(rsc.decode(frame_data ^ frame_xor))
with open(args.file, "wb") as f:
f.write(data)
cap.release()
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