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SelFlow: Self-Supervised Learning of Optical Flow

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Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependencies

@ppliuboy Thanks for your wonderful work. I have some doubts regarding self-supervised training for flow prediction. 1. How to train your model on custom datasets, say youtube videos that do...

Hi, Thanks for the code! I want to evaluate optical flow quantitatively by end-to-end point errors (AEPE) and percentage of erroneous pixels (FI). I didn't find any reference code. Could...

Hi, congrats on your work ! In your work it is said that you "randomly select several superpixels and fill them with noise" to hallucinate occlusions. I wonder what aprox...

Hi, How and where do we integrate superpixel in the DD Flow code? In the earlier issues raised, you mentioned that you did this offline and included it in the...

Hello, If i've got your model right, it takes 3 images - I1, I2, I3 and gives flow between I2 and I3 (and backward, I3 -> I2). So, question is....

Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.2 to 10.0.1. Release notes Sourced from pillow's releases. 10.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/10.0.1.html Changes Updated libwebp to 1.3.2 #7395 [@​radarhere] Updated zlib to 1.3 #7344 [@​radarhere] 10.0.0 https://pillow.readthedocs.io/en/stable/releasenotes/10.0.0.html Changes...

dependencies

Bumps [scipy](https://github.com/scipy/scipy) from 0.19.1 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies