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I came across this code and have been trying to implement it for creative analysis on a set of images.
When I run the pipeline, it works fine for a dataset of images that don't have faces in them. However, when the dataset has images with faces, the pipeline fails in Dataflow and the BQ output has all tables except face_annotations.
I'm not sure if this is an issue since Dataflow is deprecated for python 2 or an issue within the code itself. Has anyone else faced this issue?
Hello,
I came across this code and have been trying to implement it for creative analysis on a set of images.
When I run the pipeline, it works fine for a dataset of images that don't have faces in them. However, when the dataset has images with faces, the pipeline fails in Dataflow and the BQ output has all tables except face_annotations.
I'm not sure if this is an issue since Dataflow is deprecated for python 2 or an issue within the code itself. Has anyone else faced this issue?
Can somebody who has implemented this code help please? @ @xerebus @cdibona @dberlin @kalpanasuresh @sisrikshab
Thanks
-Abhi
Dataflow Screenshot -
Dataflow Errorlog Screenshot -
BQ Screenshot when pipeline ran successfully on set of images without faces
BQ Screenshot when pipeline failed on set of images with faces
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