How do I interpret the results from the detect_predictor?

[vedantroy]

How do I understand what result does in this code?

from pathlib import Path
from doctr.models import detection_predictor
from doctr.io import DocumentFile

model = detection_predictor(
    arch="fast_tiny",
    pretrained=True,
)

images = list(Path("test_imgs").glob("*.png"))
images = [image for image in images if "output" not in image.stem]
images = images[0]
docs = DocumentFile.from_images(images)
results = model(docs)


print(results)

It looks like I got a 5x5 array:

[{'words': array([[0.        , 0.        , 1.        , 1.        , 0.98013151],
       [0.99414062, 0.        , 1.        , 0.0078125 , 0.75734323],
       [0.37695312, 0.        , 0.85546875, 0.00683594, 0.69200188],
       [0.19628906, 0.        , 0.31445312, 0.0078125 , 0.67702055],
       [0.06542969, 0.        , 0.15039062, 0.00976562, 0.5844748 ]])}]

[vedantroy]

Found answer: #1619