Comments (8)
You could try my trained base model: https://drive.google.com/open?id=1CSVFhfOHmRlbUsMu_eyBCvBWn_06a9zH
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Thanks for sharing your trained base model. This is very helpful!
No problem, Chris. Give it a go. I didn't change any setting, it should give decent results on the base classes.
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@christegho Hi, I try to train the base with torch 1.2.0 , torchvision 0.4.0 and CUDA 10.1. However, I get this error:
File "/home/hl/hl/Fewshot_Detection-master/region_loss.py", line 330, in forward
pred_boxes[0] = x.data + grid_x
RuntimeError: The size of tensor a (13) must match the size of tensor b (38870) at non-singleton dimension 3
The shape of x is torch[46,5,13,13], and the shape of x is torch[38870]. How do you fix this error?
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Have you solved it ? @ HuangLian126
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@XinyiYS @christegho Could you please share your base model? The google drive link has expired. Many thanks!
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@XinyiYS @christegho Could you please share your base model? The google drive link has expired. Many thanks!
Hi yanling, sorry that I have removed the model from my google drive due to storage limit. Somehow I don't have a local backup of it. Apologies. Perhaps see if Chris would be able to provide a copy.
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@XinyiYS @christegho Could you please share your base model? The google drive link has expired. Many thanks!
Hi yanling, sorry that I have removed the model from my google drive due to storage limit. Somehow I don't have a local backup of it. Apologies. Perhaps see if Chris would be able to provide a copy.
Hi Xinyi, thanks for your reply:)
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Related Issues (20)
- 能否共享一下t-SNE的代码?并分享一下如何使用。感谢
- Which version of cuda is needed
- RuntimeError: The size of tensor a (3) must match the size of tensor b (864) at non-singleton dimension 3 HOT 5
- Strange Code in Dataset.py
- Strange about the meta-learning?
- few-shot training issues
- TypeError: conv2d() received an invalid combination of arguments HOT 6
- map all get 0 HOT 6
- Question about the paper
- Request for learnet module
- Inconsistencies in COCO splits HOT 1
- How long does the training step take? HOT 1
- TypeError: conv2d() received an invalid combination of arguments HOT 1
- ValueError: Expected input batch_size (20) to match target batch_size (8).
- ???
- How to duplicate the results?
- TypeError: only integer tensors of a single element can be converted to an index
- AttributeError:"Easydict" object has no attribute "data"
- 模型训练完成后,推理时间只有3ms,但是box filter却有上百毫秒,请问是为什么呢。 HOT 5
- expected tensor [64 x 32 x 3 x 3] and src [1776] to have the same number of elements, but got 18432 and 1776 elements respectively HOT 1
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