Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Replacing the model and label strings for google inception resnet v2 #1

Closed
hannan-sultan opened this issue Dec 9, 2016 · 2 comments

Comments

@hannan-sultan
Copy link

Hi,

Thanks for your good work. Can you guide me, I want to replace the default MODEL_FILE with inception resnet v2. It would be really helpful for me if you provide detailed answer. Thanks

@natanielruiz
Copy link
Owner

Hello,

If I am not mistaken inception-resnet is a network for image recognition or classification. This project adapts the original android tensorflow demo to the object detection task using the YOLO network. I would suggest just using the original demo and replacing the inception network with your choice network: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android

To be able to do this you will have to have a serialized .pb of your trained network and replace the original network with this file. Also you will have to know the name of the input and output layer and the input size of the network. I would also try to use the stripping script provided in tensorflow on your serialized graph. You can find more info by googling all of this. Good luck.

@RiyaMaliakel
Copy link

Hi @CodeLoverr ,

Were you able to use your model trained on resnet in the android application for object detection(tf detect)?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants