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android-bootstrap
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Rasp Pi OS Bullseye has dropped support of PiCamera - breaks Lobe on Rasp P
Found a fix here? There is some bugs in the lobe.ai code:
I'm having similar AttributeError . Wondering if this is due to the recent version changes in lobe.ai?
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can't deploy lobe ai web
I can run the lobe.ai web version locally.
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[Aurora Nutrio] A smart cutting board that scans your food and knows its content.
You don't need any "contact measurement" or any magic "near infra-red specroscopy" nonsense. Just pictures of things in a specific location. Image Classification is not magic - and is only getting easier as time goes on as more and more tools are developed for building them. Heck, if you have a webcam you could build a classifier yourself with Microsoft's Lobe in half an hour that can tell an apple from a banana.
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I'm creating a mobile app, that would use machine learning to show Item name and specs when you point camera at it. I made a prototype that kinda works on 7 items, I made a dataset to train the full model. Share your thoughts/advises in the comments. Would you like an app like this?
For the model I'm looking for a good advise. Now I'm trying to load it up to no-code ML app called lobe.ai. It worked satisfactory for 7 items and screenshots (instead of photos). The first prototype dataset also didn't have position, size, blur and perspective variations.
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PalletML (Beta) - Deploy TensorFlow models to Android without code, make real-time classifications, and share models easily
Pallet supports most image classification models with a standard signature, including models exported from AutoML tools including Lobe.ai, Google Cloud Vision, and Teachable Machine.
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
If you are looking to train vision models for free, I would recommend Lobe
metaflow-on-kubernetes-docs
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
There are community Forks supporting Kubernetes and KFP. But they are not yet a part of the main framework and support is fluctuating. I think support should be available in the future.
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
metaflow - Build and manage real-life data science projects with ease.
BentoML - Build Production-Grade AI Applications
kedro-great - The easiest way to integrate Kedro and Great Expectations
great_expectations - Always know what to expect from your data.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
cld3-kotlin - Bindings to Google's Compact Language Detector 3 to JVM Based Languages
getting-started-with-genomics-tools-and-resources - Unix, R and python tools for genomics and data science