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import numpy as np
from PIL import Image
import av
import av.datasets
container = av.open(
av.datasets.curated("pexels/time-lapse-video-of-sunset-by-the-sea-854400.mp4")
)
container.streams.video[0].thread_type = "AUTO" # Go faster!
columns = []
for frame in container.decode(video=0):
print(frame)
array = frame.to_ndarray(format="rgb24")
# Collapse down to a column.
column = array.mean(axis=1)
# Convert to bytes, as the `mean` turned our array into floats.
column = column.clip(0, 255).astype("uint8")
# Get us in the right shape for the `hstack` below.
column = column.reshape(-1, 1, 3)
columns.append(column)
# Close the file, free memory
container.close()
full_array = np.hstack(columns)
full_img = Image.fromarray(full_array, "RGB")
full_img = full_img.resize((800, 200))
full_img.save("barcode.jpg", quality=85)
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