Comments (3)
@Leo-Thomas , yes the link to MSCOCO seems to be broken indeed. Here is how you can get the 2014 dataset
You can run this in a bash script:
mkdir coco
cd coco
mkdir images
cd images
wget -c http://images.cocodataset.org/zips/train2014.zip
wget -c http://images.cocodataset.org/zips/val2014.zip
wget -c http://images.cocodataset.org/zips/test2014.zip
wget -c http://images.cocodataset.org/zips/unlabeled2014.zip
unzip train2014.zip
unzip val2014.zip
unzip test2014.zip
unzip unlabeled2014.zip
rm train2014.zip
rm val2014.zip
rm test2014.zip
rm unlabeled2014.zip
cd ../
wget -c http://images.cocodataset.org/annotations/annotations_trainval2014.zip
wget -c http://images.cocodataset.org/annotations/stuff_annotations_trainval2014.zip
wget -c http://images.cocodataset.org/annotations/image_info_test2014.zip
wget -c http://images.cocodataset.org/annotations/image_info_unlabeled2014.zip
unzip annotations_trainval2014.zip
unzip stuff_annotations_trainval2014.zip
unzip image_info_test2014.zip
unzip image_info_unlabeled2014.zip
rm annotations_trainval2014.zip
rm stuff_annotations_trainval2014.zip
rm image_info_test2014.zip
rm image_info_unlabeled2014.zip
or you can alternatively call it from a jupyter notebook cell using %%bash
before the commands, or by adding !
in front of each command.
from a-pytorch-tutorial-to-image-captioning.
http://cs.stanford.edu/people/karpathy/deepimagesent/caption_datasets.zip
Here is the link of json file.
from a-pytorch-tutorial-to-image-captioning.
http://cs.stanford.edu/people/karpathy/deepimagesent/caption_datasets.zip
please which folder can i place the downloaded file?
from a-pytorch-tutorial-to-image-captioning.
Related Issues (20)
- Asking about List of Packages Version
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- eval.val is not working.
- Dimension error HOT 2
- ValueError: max() arg is an empty sequence HOT 3
- High loss and low bleu-4 for training HOT 7
- Example Notebook?? HOT 1
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- Please help me with the error:RuntimeError: Expected target size [32, 9490], got [32, 51] HOT 1
- I think this a bug. caption.py 140 HOT 5
- RuntimeError: CUDA error: device-side assert triggered
- Only the author mentions half the bleu-4 score HOT 2
- can this model detect and recognize text in images containing text HOT 1
- I get this issues:Dimension out of range (expected to be in range of [-2, 1], but got 2) HOT 1
- The code is wrong..... HOT 1
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from a-pytorch-tutorial-to-image-captioning.