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hellock avatar hellock commented on August 19, 2024 34

@PkuRainBow Yet another solution with the package cvbase, its subpackage optflow provides some read/write/visualize methods.

# run `pip install cvbase` first
import cvbase as cvb
# to visualize a flow file
cvb.show_flow('result.flo')
# to visualize a loaded flow map
flow = np.random.rand(100, 100, 2).astype(np.float32)
cvb.show_flow(flow)

or you can simply copy related files from https://github.com/hellock/cvbase/blob/master/cvbase/optflow/visualize.py

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Yuliang-Zou avatar Yuliang-Zou commented on August 19, 2024 1

You can check this one:
https://github.com/sampepose/flownet2-tf/blob/master/src/flowlib.py

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fitsumreda avatar fitsumreda commented on August 19, 2024

Hi @PkuRainBow, this tool will allow you to color code and visualize flow files.

You may find more information about it here :
https://sites.google.com/site/linchaobao/home/eppm,

The actual link to download the FloVisualiser executable.
https://sites.google.com/site/linchaobao/home/cvpr2014_eppm_win32_bin.zip?attredirects=0

We'll also provide scripts to colorcode and pack flow files into a video.

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fitsumreda avatar fitsumreda commented on August 19, 2024

@Yuliang-Zou thanks for your codes.
do you want to do a PR for the flow visualisers?

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