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# transform binary attribute to clustered attribute
nb_attr = len(start_idxs)-1
A_all = np.zeros((**11788**,nb_attr))
image_attribute_file = '../CUB_200_2011/attributes/image_attribute_labels.txt'
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```text
KeyError Traceback (most recent call last)
in ()
----> 1 path = untar_data('https://s3.amazonaws.com/fast-ai-imageclas/CUB_200_2011'); path
/u…
pnlph updated
5 years ago
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I'm really interested in your paper and I want to test the proposed algorithm in the CUB_200_2011 dataset. However, the generated positive pool on my machine only achieves a true positive rate of 28%.…
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Author Name: **Lynn Weller** (Lynn Weller)
Original Assignee: Steven Lambright
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I've tried several times to import an image list into the isis3.3.1 version of qmos (as well as the isis3.3…
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Datasets:
CUB-200-2011
http://www.vision.caltech.edu/visipedia/CUB-200-2011.html 1.1GB
Online Product
http://cvgl.stanford.edu/projects/lifted_struct/ 2.9G
Two datasets are for birds classi…
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Do you reach the performance as the paper listed on CUB-200-2011?
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there is a classes.txt in datasets CUB_200_2011 which is from your link, I used the classes.py as the 'trainclasses_file' but get the error like below:
Traceback (most recent call last):
File "/h…
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Thanks for sharing your codes. But how do you handle the data splits? It seems that your data loader always reads all the images from the same directory regardless of the train or validation. Can you …
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in the cub_loader train_test_split.txt classes.txt images.txt image_class_labels.txt been used. will U please tell me what each file look like and what's have in it.