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Cannot eval on COCO test-dev on Google Colab

See original GitHub issue

I am trying to use YOLACT++ from Google Colab. Inference on images/videos works fine, but I can’t evaluate on COCO test-dev. I run this command: python --trained_model=weights/yolact_plus_resnet50_54_800000.pth --dataset=coco2017_testdev_dataset And I get:

Traceback (most recent call last):
 File "", line 1105, in <module>
  evaluate(net, dataset)
 File "", line 936, in evaluate
  img, gt, gt_masks, h, w, num_crowd = dataset.pull_item(image_idx)
 File "/content/yolact/data/", line 172, in pull_item
  if target.shape[0] == 0:
AttributeError: 'NoneType' object has no attribute 'shape'

If I change line 172 in to check if target is None I get another error:

Traceback (most recent call last):
  File "", line 1105, in <module>
    evaluate(net, dataset)
  File "", line 956, in evaluate
    prep_metrics(ap_data, preds, img, gt, gt_masks, h, w, num_crowd, dataset.ids[image_idx], detections)
  File "", line 390, in prep_metrics
    gt_boxes = torch.Tensor(gt[:, :4])
TypeError: 'NoneType' object is not subscriptable

I can get past this error by adding the argument --output_coco_json, but I don’t think it’s the right way to use the script. I think it’s a bug but could also be a Colab related issue (or some error of mine).

Issue Analytics

  • State:open
  • Created 4 years ago
  • Comments:9 (1 by maintainers)

github_iconTop GitHub Comments

dbolyacommented, Mar 12, 2020

You can use --score_threshold=0.05 to reduce the file size. As for the first bug, that’s an oversight on my part. For now you can comment it out. I’ll try to get a fix out today.

ShihuaHuang95commented, Aug 11, 2020

i got the same error, how to solves?

Comment these lines:

and use --output_coco_json flag.

For me, I add another condition based on the previous one as below: “if target.shape[0] == 0 and self.has_gt:”

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