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crack3n-collab
Obsidian | Level 7

I have been running simpleObjectDetection on jupyter hub.

https://github.com/sassoftware/python-dlpy/blob/master/examples/object_detection/SimpleObjectDetecti...

And I have come across issues with the table columns.

Below is the column information of the sample data(Soccer_Images_416.sashdat) converted to CASTable

crack3ncollab_0-1704944543721.png

Here is my data:

crack3ncollab_1-1704944661280.png

In the later part of the code, the CASTable will be split into trainset and testset. The soccer images can be split but my data can't.

The error message:

crack3ncollab_0-1704944855852.png

I generated my CASTable using code from the image augmentation example.

https://github.com/michaelgorkow/SAS_DeepLearning/blob/master/Face_Mask_Detection/image_augmentation...

crack3ncollab_1-1704945202124.png

 

So issue is I am not sure if I need to add in the missing columns or if I have to redo the generation of CASTable.

I previously tried loading images to SAS Data explorer and it generated the CASTable there for the images without the annotations and it had the _id_ column.

crack3ncollab_2-1704945395172.png

 

Any help will be very much appreciated. Thank you

 

1 ACCEPTED SOLUTION

Accepted Solutions
crack3n-collab
Obsidian | Level 7

It has been resolved. I was missing a parameter in one of the code.

View solution in original post

3 REPLIES 3
sbxkoenk
SAS Super FREQ

I moved this post to SAS Data Science board.

It's about Computer Vision and Object Detection.

 

Koen

crack3n-collab
Obsidian | Level 7

 I wasn't quite sure where to post this discussion. Thank you.

crack3n-collab
Obsidian | Level 7

It has been resolved. I was missing a parameter in one of the code.

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