Fine-tuned model "model_best.t7" is worng.

[Datasharing-wow]

Hi:
I got new error,
After spent almost two weeks to fine tuned both flow and RGB model("model_best.t7" in the folder CNN-GPUs),when I use the two models to generat the feature(in CNN-Pred-Feat),the error appear:

inconsistent tensor size, expected tensor [1 x 25 x 101] and src [400 x 101] to have the same number of elements, but got 2525 and 40400 elements respectively at /home/gtune/torch/pkg/torch/lib/TH/generic/THTensorCopy.c:86

How to correct the code?

[cmhungsteve]

where does the number "400" come from?
25 means we sample 25 frames for each video, and 101 means there are 101 classes.

[Datasharing-wow]

Thank you for the reply.
After reviewed the code entirely, I'm not really sure where the "400" came from.
Here is my steps to use CNN-GPUs package:
step1:use CNN-GPUs/datasets/video2frame_dataset.lua to generate frame image from videos
step2:download resnet-101 model from https://github.com/facebook/fb.resnet.torch
step3:change the folder path in CNN-GPUs/opts.lua(line #39 and #73)
step4:for RGB image.I change the "nChannel" to 3,in opts.lua
step5:run the command in terminal. "th main.lua -nGPU 2"
step6:when the "model_best.t7" is generated,copy it to CNN-Pred-Feat.Then when I run the command to generate feature the error shows up.But I can use your model_best.t7 to generate feature correctly.So definitely I trained the wrong model_best.t7.

Can you say some details about how to train the model_best.t7(How to use CNN-GPUs)?

[cmhungsteve]

There is no special trick to use CNN-GPU. Maybe first you need to figure out where the number "400" comes from.

[Datasharing-wow]

Thank you for the reply.

After I checked the program again and again.
I'm still confused about the wired "400" ....