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Hi,
We downloaded the LaSOT dataset and tried running TaMOs but got an error. We suspect there is a preprocessing step that we missed in our setup. Can you please share your insights about our prob…
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In line 38
`elif self.loss_type == "giou" or 'ciou':`
will always be True
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Hi, I have a question. I replaced giou in the configuration file with diou, and the code can be trained normally without encountering the Nan situation, which may be because diou considers the situati…
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File "/home/hongyang/codebase/pytorch_code/yolov5-knowledge-distillation/utils/loss.py", line 57, in compute_distillation_output_loss
t_lbox *= h['giou'] * h['dist']
KeyError: 'giou'
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Thank you for your great work!
Do you try GIoU or CIoU loss in your experiments?
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您好,您这个GIOU loss的计算方式有点没明白?这不是回归的偏差吧
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` boxes1 = tf.concat([tf.minimum(boxes1[..., :2], boxes1[..., 2:]),
tf.maximum(boxes1[..., :2], boxes1[..., 2:])], axis=-1)
boxes2 = tf.concat([tf.minimum(boxes2[..., …
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The GIoU loss becomes NaN when the gt boxes and predicted boxes are both decoded in center and size (xc, yc, w, h).
I am wondering if the boxes have to decoded in two corners (x1, y1, x2, y2).
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Hi @X-Lai, @tianzhuotao, @yukang2017, @yanwei-li , @xbkaishui
I am evaluating your method with your provided model (xinlai/LISA-13B-llama2-v1) as a part of my research studies. I see the significant …
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**Description:**
I have encountered an issue while training Mdetr model on the RefEgo dataset, using the provided training script and checkpoints from the MDETR repository. The training process exhib…