Addition of MobileNet V1 about models HOT 6 CLOSED

Hi, So the models present on the repos we talked about yesterday doesn't have the param alpha and depthMultiplier used so we will only be able to provide weights weights for a single config with a single image size accepted, as the image size given to mobilenet matters.
and the tool i talked about mmdnn that can only take static image sizes and the things are very rigid and hardcoded just because of that fact that any model weight is first converted to an IR and then to the framework.
So at this point i want to move forward with mobilenet V2 if that's okay?

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I don't mind if we only provide weights only for one model config.

from models.

I don't mind if we only provide weights only for one model config.

Should be doable then.

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Mobilenet has all these configs available: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md ignore the quantized ones, but on;y if we somehow manage to import weights from TensorFlow.
For now, I will start with the implementation of mobilenet and care less about how we are going to port the weights as that hinders a lot when I try to code the actual architecture.

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I have also opened #72 to add mobilenet_v1, and also left a comment about a layer that we might need to implement. let me know what you guys think about that.

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This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! 👍

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