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Hi, since I'm trying to re-implement your code in Keras (python 3.6), I open this thread for some questions and advice.
1. You defined your input images as 512x512x3, but then your SqueezeNet take …
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1. 如果object bank是单数据集内(train或val)的,在test上提升这么明显,那这个方法确实很有价值。
2. 如果有跨数据集object或者含有test data object(正常来讲不太可能),那应该标明使用了额外的数据(add data),实际价值可能会打折,有点像跨数据集增强的思路。
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Hi, It is a very nice job !
here I have some confusion about the usage of ground_truth.
I want to augment the image and it's masks(here every image has two different mask ) simultaneously,
…
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hi,I used the nature scene pictures to train the textboxes++ model, but in the training, the mbox_loss
changes between 1 and 4, I feel it is so big, so what i can do to reduce the mbox_loss?
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[eval_metrics_geom_model.json](https://github.com/SciKit-Surgery/cmicHACKS2/files/13319873/eval_metrics_geom_model.json)
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Hi , I have a question about MultiBoxTarget layer.
Why ssd uses MultiBoxTarget layer to do things like assigning positive and negative samples?
I think these processings could be done when making a …
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很感谢您的工作,但我有一个较小的问题在
```
class CT_XRAY_Data_Augmentation_Multi(object):
def __init__(self, opt=None):
self.augment = List_Compose([
(None, None, None),
(Resize_image(size=(opt…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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## Introduction
Hi @weiliu89 thanks again for the support, could you confirm my findings from what I learn about SSD so far?
### Training phase
![ssd_blockdiagram_train](https://cloud.githubuserc…
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Hi all, I noticed an issue with the loss computation for small (less than 1/10 of the image dimensions) bounding boxes.
It seems that given such a bounding box as ground truth, the loss function w…