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This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microsoft.com/developerblog/2017/07/31/using-object-detection-complex-image-classification-scenarios/)
License: MIT License
Jupyter Notebook 99.93%
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In notebook 3, step 11 (Train data) I get the following error:
FileNotFoundError: [Errno 2] No such file or directory: 'data/dataset/Beverages/Train/'
It seems the suggested Azure DSVM cannot be created on a free trial account (freshly created):
"Operation results in exceeding quota limits of Core. Maximum allowed: 4, Current in use: 0, Additional requested: 6".
(the animated gifs were very cumbersome to figure out the steps to create the DSVM btw)
Please primarily make sure people can follow your workshop using option 1 (run locally) or provide a workaround for using Azure.
There are some small documentation fixes needed in Option 2
Step 1: GIF shows example with DLVM while documentation requires DSVM
Step 2: Default DLVM machine on azure has 6 cores, free trial accounts cannot go beyond 4 cores
Step 5: Token appears twice in the URL