Deployment Platform: SeeMe.ai

zerotosingularity · November 5, 2020, 4:38am

Quick update:

Added support for v2.1.4 and v2.0.19 over the last couple of days.
Android: Uploaded models are automatically converted to Tensorflow Lite, and can be installed in the App for offline predictions: https://play.google.com/store/apps/details?id=ai.seeme&hl=en_US

Hope to show a more complete demo soon…

zerotosingularity · December 15, 2020, 8:33am

We added support for the latest v2.1.9, as we always do. However, to upload your v2.1.9 model, you need to manually set the version, because of a small bug (already fixed for v2.1.10):

print(fastai.__version__)
> 2.1.8

So set the fastai version manually like below:

# SeeMe support different types of applications, with different frameworks and versions.

# Get the application_id for your framework (version).

# Do this
application_id = client.get_application_id(
    base_framework="pytorch",
    framework="fastai",
    base_framework_version=str(torch.__version__),
    framework_version="2.1.9",
    application="image_classification"
)

# Instead of the default (should be fixed in v2.1.10)

application_id = client.get_application_id(
    base_framework="pytorch",
    framework="fastai",
    base_framework_version=str(torch.__version__),
    framework_version=str(fastai.__version__),
    application="image_classification"
)

sabzo · December 28, 2020, 5:56am

Have you considered Android | PyTorch?

zerotosingularity · January 1, 2021, 9:10am

It’s on the list for 2021:grinning:

Meaning:

automatically convert on upload
try/verify/auotmatate optimizations
downloadable via SDK/API
benchmark vs CoreML/TFLite for size/speed/accuracy
include in iOS/Android app

zerotosingularity · January 7, 2021, 7:48pm

A good day to return from a small home renovation holiday.

Added support for v2.2.0, v2.2.1, v2.2.2.

Obviously, I’d recommend v2.2.2, but if you really need them, the others are available.

zerotosingularity · May 6, 2021, 8:14am

Added support for the newly released v2.3.1, with both PyTorch 1.7.1 and 1.8.1 support.

Personal reminder: I need to update the quick guide on SeeMe.ai Deployment. | Practical Deep Learning for Coders to include:

the automatic conversion to TFLite models,
web uploads
model version management
Data flywheel to sync and incorporate model predictions
dataset mgmt

adityaojha075 · October 19, 2021, 6:18am

HI @zerotosingularity I have been trying to deploy my model. While getting the application_id for framework, I am getting the NotImplementedError. Kindly help

zerotosingularity · October 19, 2021, 7:12am

Hi @adityaojha075 ,

thanks for trying our beta and reaching out. I’ve sent you an email to help you get your model deployed!

Help is on the way.

adityaojha075 · October 19, 2021, 7:26am

Thanks @zerotosingularity ,

I have replied you on the mail. Looking forward to.

zerotosingularity · November 5, 2021, 8:27am

We’ve added documentation for the Python SDK: Python SDK | SeeMe.ai Docs

It gives a better insight into what we have been working on:

Models:

Create
Upload
Try
Deploy
Download
Version

Datasets:

Create
Version
Manage (labels, data splits)
Upload/Download items (images, text)
Import/Export dataset versions

Hope it helps, and looking forward to learn from your feedback!