You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Please, the "channel_scores" is the feature vector of the "fc8" layer for a specific channel, then why did you loop over the "categoryid" to compute modified_fc8_score = channel_scores[categoryid] * ( 1 - wscore*ranked_alpha[categoryid] ) ?
Yet, the Len(channel_scores) is not equal to NCHANNELS.
Thank you.
The text was updated successfully, but these errors were encountered:
Hi, I've noticed the same issue...It seems that the code has been written with the idea to generalize to more channel but in the end he didn't finish to debug it with more than one channel. In fact, it runs only if NCHANNELS=1.
Thanks @sgnet91 and @Bestyasser . The code was written to generalize to many channels but for now it only works for grey images. I have updated the repo with example and details step to use your own model and data. Hope this helps.
Hello,
Please, the "channel_scores" is the feature vector of the "fc8" layer for a specific channel, then why did you loop over the "categoryid" to compute modified_fc8_score = channel_scores[categoryid] * ( 1 - wscore*ranked_alpha[categoryid] ) ?
Yet, the Len(channel_scores) is not equal to NCHANNELS.
Thank you.
The text was updated successfully, but these errors were encountered: