Comments (7)
Hi, actually, the shape for prediction is (B, N, 13, 13, A, (5+1)). In RegionLoss the number of classes is actually 1 instead of N, as shown in the config file at
Fewshot_Detection/cfg/darknet_dynamic.cfg
Line 259 in 20c0580
.
So this means that model can only predict only 1 class? Because the model I retrain can only detect 1 class.
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Hi, actually, the shape for prediction is (B, N, 13, 13, A, (5+1)). In RegionLoss the number of classes is actually 1 instead of N, as shown in the config file at
Fewshot_Detection/cfg/darknet_dynamic.cfg
Line 259 in 20c0580
from fewshot_detection.
Thanks for your correction, I'll try it later.
from fewshot_detection.
The result is strange, I wonder that the model can only predict only one class ?
from fewshot_detection.
Hi, actually, the shape for prediction is (B, N, 13, 13, A, (5+1)). In RegionLoss the number of classes is actually 1 instead of N, as shown in the config file at
Fewshot_Detection/cfg/darknet_dynamic.cfg
Line 259 in 20c0580
.
So this means that model can only predict only 1 class? Because the model I retrain can only detect 1 class.
Hi,could you please tell me which cfg file do you use while running detect.py,I just got so many bounding box in one picture and any of them are wrong bounding boxes!!
from fewshot_detection.
The result is strange, I wonder that the model can only predict only one class ?
您好 武汉的前辈 我跑该源码时我遇到了如下问题 这个问题前面也有人提到过 但并未得到解答 您可以解决吗?有偿
“
”
from fewshot_detection.
The result is strange, I wonder that the model can only predict only one class ?
我当时也遇到了相同的问题,原因是我更变了gpu的数量,一定要在配置文件中修改gpu的数量,比如有两块gpu,就是ngpu=0,1
from fewshot_detection.
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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