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Do you mind resharing that notebook (or the relevant snippets) for context? Is this for error metric evaluation? If so, you'll need ground truth (user labeled) data on some frames, after which you can generate predictions on those for subsequent evaluation. |
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I was wondering how predictions of a model are generated? I was observing some of the error data points and their corresponding frame id from the excel sheets from the Jupyter notebook Liezl made for me, but there was no yellow box in the frame of the video, so I couldn't see the extent of the error. Is there a way to see the predictions for that frame?
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