Unclear why stabilizer.transforms is returning so many entries

from vidstab import VidStab, layer_overlay, layer_blend
import cv2
import os

# init vid stabilizer
stabilizer = VidStab()

INPUT_FILE_PATH = ".../image_%06d.jpg"
OUT_FILE_PATH = ".../image_%06d.jpg"


stabilizer.stabilize(input_path=INPUT_FILE_PATH,
                     output_path=OUT_FILE_PATH,
                     border_type='black',
                     border_size= 0)

transforms = stabilizer.transforms
print("......", len(transforms))

Unclear why stabilizer.transforms is returning so many entries. This doesn’t happen when border_size = ‘auto’

Using input path “image_%06d.jpg” I am able to read and apply transforms. Why for an input of 48 images do I get len(transforms) = 78?

[AdamSpannbauer]

Hi thanks for reporting. I’ll look into this tomorrow.

Would you please provide an example code snippet that you are using to make investigating and understanding your issue easier?

[AdamSpannbauer]

Progress is limited to converting test to use stabilize method so that this issue causes tests to fail