Comments (9)
scale & aspect ratio augmentation.
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caffe how to implement centre crop? The default is random crop
would you mind share train.prototxt? Thanks!
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in test phase, center crop is the the default setting.
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Thanks
from senet-caffe.
May I ask another question?
What is the use of scale?I know it can adjust the value of data to 0-4.352
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Lots of guys asked me this question.
You can find answers here: shicai/MobileNet-Caffe#17
(If you are Chinese, you can also take a look at this link: https://www.zhihu.com/question/63649386/answer/211508137)
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Thanks!
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You only use scale and aspect ratio augmentation in training? What is the parameter of aspect ratio you set? You don't use random_mirror in training?
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One more question, do you resize the original image to one size (for example, resize shorter side to 256) before other data argumentations during training?
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Related Issues (14)
- train & solver prototxt HOT 11
- There is no license listed HOT 3
- How to fine-tune the pretrained SE-ResNet-50 model on custom dataset?
- why your model input is 225 HOT 3
- scale & mean_values HOT 1
- Something about the source code?
- about mean value and scale
- Should it be "axis: 1" instead of "axis: 0" in the scale layer below because Caffe Blobs are in NCWH shape? HOT 1
- Caffe2
- Caffe2 GAN No Gradients in Generator
- Check failed: ExactNumBottomBlobs() == bottom.size() (3 vs. 2) Axpy Layer takes 3 bottom blob(s) as input.
- 请问下你是怎么转换a*b[:,:,1,:]的????
- could you provide the solver files and test code
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