recall evaluation code shows the same stats for trained and random model

[karimhasebou]

I have trained the model on Activity Net Captions and inspected its output manually and the predictions are very good. When I measured it recall with the trained model and the same model using random weights I got the same results. From my understanding, In order to measure the recall I should take top 1k proposals from each video. Is that correct or should I take the top 1k proposals from the entire dataset ?