Models made for Edge Devices and NN Optimizations
-
Updated
Oct 25, 2019 - Python
Models made for Edge Devices and NN Optimizations
web app to recognize whether or not its a picture of tree. final project from generation girl class.
Alert police and switch off ATM upon finding the emotion “fear” on user face
This Project was from Bangkit Capstone Project, the goal from this repository, is to built the sentiment analysis to classified the sentence is it the positive or the negative sentiment about the specific event organizer review.
Pipeline for mask detection over a Pi camera video feed.
NTU Biophotonics and Bioimaging Lab dairy cow face monitoring project. Metric learning experiment.
A tensorflow application with 11 different types of image classification (4 for binary and 7 for multiclass classifications).
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Add a description, image, and links to the tflite-models topic page so that developers can more easily learn about it.
To associate your repository with the tflite-models topic, visit your repo's landing page and select "manage topics."