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"""
visulize event frame (npy file).
"""
import argparse
from pathlib import Path
import numpy as np
from tqdm import tqdm
import cv2 as cv
parser = argparse.ArgumentParser(description="Convert the event file to frame.")
parser.add_argument("--input", type=str, help="the path of npz file or dir.")
parser.add_argument("--output", type=str, help="the dir of out event.")
parser.add_argument("--show", action="store_true", help="show the event frame on screen.")
parser.add_argument("--save", action="store_true", help="write the visualization results to dir.")
args = parser.parse_args()
def render_ev_accumulation(ev_frame) -> np.ndarray:
img= np.full((*ev_frame.shape, 3), fill_value=255, dtype="uint8")
# img[ev_frame == 0] = [255, 255, 255]
# img[ev_frame < 0] = [255, 0, 0]
# img[ev_frame > 0] = [0, 0, 255]
img[ev_frame < -1] = [255, 0, 0]
img[ev_frame > 1] = [0, 0, 255]
return img
if __name__ == "__main__":
print(args)
in_path = Path(args.input)
out_path = Path(args.output)
out_path.mkdir(parents=True, exist_ok=True)
if in_path.is_dir():
ev_list = list(in_path.glob("*.npy"))
else:
ev_list = [in_path]
for ev_path in tqdm(ev_list):
ev_frame = np.load(ev_path)
img = render_ev_accumulation(ev_frame)
if args.save:
cv.imwrite(str(out_path / ev_path.stem) + ".png", img)
if args.show:
cv.imshow("img", img)
cv.waitKey(0)
cv.destroyAllWindows() |