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LisaAnne / ECCV2016

Code to replicate "Generating Visual Explanations"
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Regarding Computation of Class Embeddings #7

Closed saurabhsharma1993 closed 6 years ago

saurabhsharma1993 commented 6 years ago

Hi Lisa,

Thanx a lot for your code. I'm running into a problem while using your code. For computing the class embeddings, one needs to run the description model. The steps in your README direct one to use the make_class_embeddings.sh file, which runs the following code :

python utils/extract_train_val.py --model_name $model \ --LM_net $word_net \ --dataset_name $dataset_name \ --split_name $split_name \ --vocab $vocab \ --image_net $image_net \ --size_input_feature $size_input_feature \ --prev_word_restriction \ --precomputed_h5 data/CUB_feature_010517.p

There is no such utils/extract_train_val.py file in the repo. Moreover, this file isn't generated by the build_models.sh code either. So I'm confused, and am unable to use the code. Would be glad if you can clear this doubt.

Regards, Saurabh

LisaAnne commented 6 years ago

Hi --

I tried to clean this code a while ago and moved some things around; I found the file you are looking for in my deprecated branch:

https://github.com/LisaAnne/ECCV2016/blob/deprecated/examples/ECCV2016/extract_train_val.py

Sorry about that!

On Tue, Oct 16, 2018 at 4:14 PM ssfootball04 notifications@github.com wrote:

Hi Lisa,

Thanx a lot for your code. I'm running into a problem while using your code. For computing the class embeddings, one needs to run the description model. The steps in your README direct one to use the make_class_embeddings.sh file, which runs the following code :

python utils/extract_train_val.py --model_name $model --LM_net $word_net --dataset_name $dataset_name --split_name $split_name --vocab $vocab --image_net $image_net --size_input_feature $size_input_feature --prev_word_restriction --precomputed_h5 data/CUB_feature_010517.p

There is no such utils/extract_train_val.py file in the repo. Moreover, this file isn't generated by the build_models.sh code either. So I'm confused, and am unable to use the code. Would be glad if you can clear these doubts.

Regards, Saurabh

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