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Tuesday, September 6, 2022

[FIXED] Why is there an additional "None" dimension in the tensor shape when uploading a dataset to Activeloop Hub?

 September 06, 2022     artificial-intelligence, computer-vision, hub, machine-learning, python     No comments   

Issue

I am trying to upload an image datset to Hub (dataset format with an API for creating, storing, & collaborating on AI datasets). I only uploaded part of the dataset, however upon inspecting the uploaded data I noticed that there was an additional None dimension in the tensor shape. Can someone explain why this occurred?

I am using the following tensor relationship:

ds 
-> images (htype = image)

Solution

The none dimension is present because some of the images might have three channels and the others have four, so dynamic dimensions are shown as None.



Answered By - Kristina from Activeloop
Answer Checked By - Robin (PHPFixing Admin)
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