Closed jaypatravali closed 3 years ago
from the paper,
Start frame of each video clip is randomly generated and will loop over the video sample if the desired training clip is longer.than the original video sample.
Oh okay this answer my question.
I have the same question as you did. Even there is some descriptions here. In my intuition, I think this may cause some problems in training. And I am curious that whether it makes a difference when using some other sampling ways to instead.
@BestJuly I ended up with NaNs after 4 epochs of training.
I do not have the same problem. Here is my logs:
[Epoch1/3178] Loss: 1.4752 Acc: 0.2333 Time 0.3074
[Epoch2/3178] Loss: 1.2507 Acc: 0.4000 Time 0.3041
[Epoch3/3178] Loss: 1.3052 Acc: 0.3000 Time 0.3037
[Epoch4/3178] Loss: 1.2141 Acc: 0.3667 Time 0.3039
[Epoch5/3178] Loss: 1.3436 Acc: 0.2333 Time 0.3041
[Epoch6/3178] Loss: 1.0533 Acc: 0.6000 Time 0.3044
[Epoch7/3178] Loss: 1.1387 Acc: 0.4333 Time 0.3057
[Epoch8/3178] Loss: 1.1614 Acc: 0.4667 Time 0.3002
[Epoch9/3178] Loss: 1.1103 Acc: 0.3667 Time 0.3032
[Epoch10/3178] Loss: 1.1639 Acc: 0.3667 Time 0.3034
[Epoch11/3178] Loss: 1.0448 Acc: 0.5667 Time 0.3037
[Epoch12/3178] Loss: 1.1925 Acc: 0.3333 Time 0.3040
[Epoch13/3178] Loss: 1.0283 Acc: 0.5333 Time 0.3041
[Epoch14/3178] Loss: 0.9437 Acc: 0.6000 Time 0.2997
[Epoch15/3178] Loss: 0.9926 Acc: 0.5000 Time 0.2996
[Epoch16/3178] Loss: 1.0129 Acc: 0.5000 Time 0.3039
[Epoch17/3178] Loss: 1.3208 Acc: 0.3667 Time 0.3015
[Epoch18/3178] Loss: 1.0250 Acc: 0.4667 Time 0.3018
There are three things I want to mention:
I do not have the same problem. Here is my logs:
[Epoch1/3178] Loss: 1.4752 Acc: 0.2333 Time 0.3074 [Epoch2/3178] Loss: 1.2507 Acc: 0.4000 Time 0.3041 [Epoch3/3178] Loss: 1.3052 Acc: 0.3000 Time 0.3037 [Epoch4/3178] Loss: 1.2141 Acc: 0.3667 Time 0.3039 [Epoch5/3178] Loss: 1.3436 Acc: 0.2333 Time 0.3041 [Epoch6/3178] Loss: 1.0533 Acc: 0.6000 Time 0.3044 [Epoch7/3178] Loss: 1.1387 Acc: 0.4333 Time 0.3057 [Epoch8/3178] Loss: 1.1614 Acc: 0.4667 Time 0.3002 [Epoch9/3178] Loss: 1.1103 Acc: 0.3667 Time 0.3032 [Epoch10/3178] Loss: 1.1639 Acc: 0.3667 Time 0.3034 [Epoch11/3178] Loss: 1.0448 Acc: 0.5667 Time 0.3037 [Epoch12/3178] Loss: 1.1925 Acc: 0.3333 Time 0.3040 [Epoch13/3178] Loss: 1.0283 Acc: 0.5333 Time 0.3041 [Epoch14/3178] Loss: 0.9437 Acc: 0.6000 Time 0.2997 [Epoch15/3178] Loss: 0.9926 Acc: 0.5000 Time 0.2996 [Epoch16/3178] Loss: 1.0129 Acc: 0.5000 Time 0.3039 [Epoch17/3178] Loss: 1.3208 Acc: 0.3667 Time 0.3015 [Epoch18/3178] Loss: 1.0250 Acc: 0.4667 Time 0.3018
There are three things I want to mention:
- The random seed is not fixed;
- The reported loss/accuracy is not an average of the corresponding epoch, just the results for the last iteration;
- The used data is pre-computed, downloaded from here.
hello! Could you tell me how to arrange the training data? I have download the data like this:
but i don't know how to process them to run train.py?
Please help me.
why is the blank frames starting from the begining? should the start_frame be commented out?