86 Open source projects that are alternatives of or similar to tensorflow-yolov4

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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.

OpenVisionAPI server

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

No description or website provided.

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

A food ordering android application with feedback analyzer to improve food suggestions to customer.

Real time image classification with React Native and Tensorflow lite.

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Small-scale Tensor Processing Unit built on an FPGA

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Push-pull streaming and Web display of YOLO series

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

Managed Machine Learning Systems and Internet of Things Live Lesson

This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)

Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。

Object detection for video surveillance

End to end training MNIST image classifier with tf.Keras, convert to TFLite and deploy to Android

quick and dirty benchmark for TFLite gles delegate on iOS

Sensifai image and video enhancement module on mobiles

Address book for computer vision models.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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

Berserker - BERt chineSE woRd toKenizER

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin

php ffi darknet

TF2 implementation of PointNet for segmenting point clouds

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Implementation of popular deep learning networks with TensorRT network definition API

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

Custom object detection with the TFLite Model Maker

Tensorflow Lite external delegate based on TIM-VX

离线端阅读理解应用 QA for mobile, Android & iPhone

Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.

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

Offers a set of tools that create Granite UI authoring interfaces for Adobe Experience Manager components from Java code. This is a comprehensive solution that makes different widgets work in a coordinated manner, provides greater interactivity in AEM dialogs, and introduces additional features (customizable data lists, options selection, etc.)

How to create Selfie2Anime from tflite model to Android.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

🍅🍅🍅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~

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

mango is a man-page generator for the Go flag, pflag, cobra, coral, and kong packages

PyTorch ,ONNX and TensorRT implementation of YOLOv4

quick and dirty inference time benchmark for TFLite gles delegate

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

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…

Fast and flexible AutoML with learning guarantees.

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

A Dart interface to TensorFlow Lite (tflite) through dart:ffi

Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion

Conversion of PyTorch Models into TFLite

This is a code repository for pytorch c++ (or libtorch) tutorial.

Repo of paper title 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi

BERT Model Fine-tuning on Quora Questions Pairs