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About your dataset #2
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Hi @IVparagigm,
The batch_size is preserved. |
1)in Videodataset.py class Videodataset _make_dataset() 2)Yes, I first use github, so there are something wrong with my comment format. This is my test code: Tnank you very much if you could help me. |
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1)Yes, what I metioned is in this file. 2) |
Hi, because I'm a green hands and I could not get Kinetics dataset, I only can read your code. So there are some questions:
(1) In videodataset.py, class videodataset return a clip and a target in training. I notice that the length of clip is equal to the length of frame_indices which is 10, but in your paper, you select 32 frames as input. So could you tell me where you select 32 frames?
(2)About strg.py, I test other size of input like 1332224224, whose batch size is 1 and depth is 32, but the batch size of output of extractor and reducer is 2. If that means I must process all my input with batch_size = 4? Could I use other size of input?
All problems above are just primary but bothering me for several days. I would be very grateful to you if you could help me.
Thanks.
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