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This repository has been archived by the owner on Sep 29, 2023. It is now read-only.
Hello!
First of all thanks for uploading the code of the project. I'm trying to understand the code while reading the paper and I have two questions.
1- In the line bellow, you add the layer from the extension network to sources if the index%6 = 3. From what I understand, sources is a list with the nine layers you keep for the dimensionality reduction but in the paper you are keeping layers with index%6 = 5. Why is there this index difference?
ifk%6==3: #done: should select the output of BatchNormalization (-> k%6==2)
2- When training in train_mot17 you have two variables net and sst_net. It seems like you are using net for training and sst_net for saving and loading the model. What is the reason for that?
The text was updated successfully, but these errors were encountered:
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Hello!
First of all thanks for uploading the code of the project. I'm trying to understand the code while reading the paper and I have two questions.
1- In the line bellow, you add the layer from the extension network to sources if the
index%6 = 3
. From what I understand, sources is a list with the nine layers you keep for the dimensionality reduction but in the paper you are keeping layers withindex%6 = 5
. Why is there this index difference?SST/layer/sst.py
Line 194 in 077801b
2- When training in train_mot17 you have two variables net and sst_net. It seems like you are using net for training and sst_net for saving and loading the model. What is the reason for that?
The text was updated successfully, but these errors were encountered: