How to create Selfie2Anime from tflite model to Android.

📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

quick and dirty inference time benchmark for TFLite gles delegate

quick and dirty benchmark for TFLite gles delegate on iOS

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Conversion of PyTorch Models into TFLite

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

Drishti is an open-source cross-platform mobile application project at Incubate Nepal that incorporates Machine Learning and Artificial Intelligence to help visually impaired people recognize different currency bills and perform daily cash transactions more effectively. We plan to expand Drishti to other applications like Short Text and Document…

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

YOLOv4 Implemented in Tensorflow 2.

Realtime face recognition with Flutter

Face and iris detection for Python based on MediaPipe

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.