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Unclear why stabilizer.transforms is returning so many entries

See original GitHub issue

Issue Description

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?

Issue Analytics

  • State:closed
  • Created 3 years ago
  • Comments:5 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
AdamSpannbauercommented, Jun 11, 2020

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?

0reactions
AdamSpannbauercommented, Jun 12, 2020

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

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