Comments (1)
Also, it seems there is a typo in the comment to the MDETR's forward()
. It is written:
- "pred_boxes": The normalized boxes coordinates for all queries, represented as
(center_x, center_y, height, width). These values are normalized in [0, 1],
relative to the size of each individual image (disregarding possible padding).
Although util.box_cxcywh_to_xyxy
accepts x_c, y_c, w, h
, not x_c, y_c, h, w
.
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Related Issues (20)
- Can you provide the final_vg json files?
- colab sandbox is deactivated HOT 1
- Pre-training question
- Pre-trained model gives nan prediction in Colab HOT 7
- Seems cannot verify the existence of objects HOT 2
- How to define "Negative Tokens" ? HOT 1
- Bbox assertion error when using ENB models (eval & pretrain as well): assert (boxes1[:, 2:] >= boxes1[:, :2]).all() HOT 8
- how to define positive tokens? HOT 1
- ValueError: char_to_token() is not available when using Python based tokenizers HOT 1
- How to generate "tokens_negative" and "tokens_positive" when we convert our own dataset into mdetr annotations? HOT 1
- finetune have bug!!ValueError: char_to_token() is not available when using Python based tokenizers HOT 3
- Cannot find finetune_phrasecut_miniv.json HOT 1
- [Colab Error] InvalidVersion: Invalid version: '0.10.1,<0.11' HOT 2
- With the increase of MDETR training time, GPU memory occupation keeps increasing. After several epoch training, memory explodes,i.e. OOM, out of memory. HOT 1
- issue #44 "I guess its uncompleted project so I gave up this essay" HOT 1
- I would like to know how to use the model in clevr-ref+.
- Weird results while evaluating & reproducing ENB3 model on PhraseCut
- How to decode GQA evaluation results HOT 1
- run
- CLEVR-REF+ training
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