Comments (4)
Hi and thank you for interest.
I did not try to replicate results in the paper, I just limited to translate parameters correctly from the Keras + Theano version.
If you're interesed, another pretrained C3D model (based on ResNet) is available here.
A lot of stuff can affect your result. For example, did you take a peek into this issue?
from c3d-pytorch.
Yeah got it!
Just FYI I achieved 78% with FCN not with linear SVM on split 1.My channels are true, but did not extract mean.
from c3d-pytorch.
Hi, @cagbal @DavideA can you please tell me whether I should do mean subtraction? In the file predict.py
line L18-19
it is left as an open-ended question? @cagbal can you please mention what exactly did you do to get 78% results? Also @cagbal you mentioned something about the channels being true. I could not understand that statement.
from c3d-pytorch.
Sorry, I don't remember the details. it was a long time ago. I probably just added some FC layers and fine-tuned it.
from c3d-pytorch.
Related Issues (14)
- pretrained weights HOT 21
- What's the input tensor size of this C3D net.. HOT 1
- illegal memory access HOT 4
- License HOT 1
- Download the pretrained weights HOT 1
- Broken link for the C3D weights HOT 1
- Train File HOT 2
- pre-trained weights and cuda HOT 1
- Subtract mean value HOT 3
- Fail to load pre-trained model HOT 4
- Video -coding HOT 5
- How to load pickle file HOT 2
- the effect on UCF101 dataset HOT 3
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from c3d-pytorch.