Adversarial_Video_Summary
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j-min
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
I tried to get change points using KTS code. But i couldn't get proper change points. If someone get change points using KTS, please help me?
Hello and thanks for the code! Is it possible to add in README the version specifications for the packages used? If they exist, it seems that I've missed them. Packages...
There is not split attribute... 6nipdb> ipdb> logdir PosixPath('/content/data1/jmcho/SUM_GAN/360airballoon') 6nipdb> ipdb> n --Return-- None > /content/Adversarial_Video_Summary/utils.py(13)__init__() 12 import ipdb; ipdb.set_trace() ---> 13 super(TensorboardWriter, self).__init__(logdir) 14 self.logdir = self.file_writer.get_logdir() 6nipdb> ipdb>...
hi, thank you for your codes. I have tried the codes, but failed. About the training, could you share a pre-trained one or give more guides?
Can you provide the pre-trained model for testing?
Sorry to impose, I could only see 360airballoon in your code. Can you release the code to evaluate on TVSUM or SUMME?
Hi, in this code, the video features is extracted using resnet，but I don't know if the features are extracted for one by one frame and what is the number of...
if you are planning to use this repo, dont waste time and just skip it. - literally 0 support from the author - No single issue was closed or even...
