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How to visualize the prediction? #40

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Dean-TianZhang opened this issue Jun 5, 2017 · 5 comments
Closed

How to visualize the prediction? #40

Dean-TianZhang opened this issue Jun 5, 2017 · 5 comments

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@Dean-TianZhang
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I have run the command "python FCN.py --mode=visualize", but I got result far different from the author's result. Here is my result:

image

Does anyone know what should I do, and how to apply the whole model in my own dataset and test data set?

Thanks.

@xiaoxionglin
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You have to train it first. The code does not contain the trained model.

@shekkizh shekkizh closed this as completed Jul 3, 2017
@Nii-co
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Nii-co commented Jul 6, 2017

Hi Dean, got the same issue here, and I see the code downloaded a model from http://www.vlfeat.org/matconvnet/models/beta16/imagenet-vgg-verydeep-19.mat, I thought it was the trained model for this project, but looks like it's not? So we need to trained from the beginning first?

@xiaoxionglin
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That's the model for object recognition. This program trains on the basis of that.

@Nii-co
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Nii-co commented Jul 7, 2017

Thanks for explanation, but why do we need an object recognition model? As I know FCN itself can do the recognition work independently, or maybe this extra model is for a better performance?
By the way, if my requirement is just to find a bottle in the image, and suppose this object recognition model can't recognize bottles, do I need to retrain the object recognition model first?

@ChinmayKalyankar
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@lxx74n74n can you help me how to train a model using this code...?
I mean what all things I have to download before doing it and which commands to fire ??

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5 participants