Two questions to the " [Getting Started Notebook] Object Detection"

Object Detection
#1

  1. Why score = 0?

  2. Why " Generating Predictions" has the variable ‘n’ in two for-cycles and “image_id”:n+1?
    Mistakes?

#2

Thanks for letting us know :slight_smile: I am looking into the notebook and will give you updates asap

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#3

Hi, it’s fixed now!

For the -

  1. Why score = 0 & Why " Generating Predictions" has the variable ‘n’ in two for-cycles ?

I looked into the issue and turns out there were few mistakes we made in our baselines such as -

  • Not loading the model weights after training it.
    cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, "model_final.pth")

  • Bounding boxes were in the wrong format
    The right format for bounding boxes is (x, y, w, h) instead of (x1, y1, x2, y2) ( which detectron2 outputted )

As for the -

  1. and “image_id”:n+1?

The image_id helps the evaluator identify predictions for each image. So there are 1000 unique images ids because there are 1000 testing images.

To know what is the image_id of each image, it is simply the file number ( for ex. 345 in 345.jpg ) + 1 because the image_id starts from 1 in our ground truth file.

I hope this helps, the getting started notebook is also updated! let me know if you still had any doubts :slight_smile:

Shubhamai

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#4

Yes, it works. Thanks!

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