Open HuitMahoon opened 4 years ago
@HuitMahoon Hi, you should create 'features', 'fps','picks','change_points','n_frame_per_seg' to test your dataset.
refer my repository.
Good Luck!!
I have a question, the features extracted from resnet is not same as the downloaded .h5
data, so, would the data distribution mismatch between two feature extractor network cause not good results? thanks
@SinDongHwan
Have you solved this problem now?Or is there a more detailed video preprocessing process to generate HDF5 files?
Hi, @TriLoo, @MHGCC. I had gotten different key points, too. so I've not solved yet. I think that you will good key points if use a high accuracy model for extracting features.
dear @MHGCC. if you want to generate a HDF5 file of yours dataset for testing, you can refer my repository. but you want to make it for training, you will create "scores" or "summary".
You can refer my repository. https://github.com/anaghazachariah/video_summary_generaton
Hello, I want to ask when I want to use generate_ dataset. py to generate my own datasets, always appear “ K = np.dot(video_feat, video_feat.T) #dot是为了获取两个数的乘积 AttributeError: 'NoneType' object has no attribute 'T' ” What should I do?
i have trained and tested with your datasets h5 file .And i just want to test my own video file ,like 'my_video.mp4'. how can i transform it into h5 file ,and just use your code "python main.py -d datasets/my_own_video.h5 -s datasets/summe_splits.json -m summe --gpu 0 --save-dir log/summe-split0 --split-id 0 --evaluate --resume path_to_your_model.pth.tar --verbose --save-results"