#IOS#YOLOv5 🚀 是在 COCO 数据集上预训练的一系列对象检测架构和模型,代表 Ultralytics 对未来视觉 AI 方法的开源研究,结合了经过数千小时研究和开发的经验教训和最佳实践。
#IOS#YOLOv3 in PyTorch > ONNX > CoreML > TFLite
翻译 - PyTorch中的YOLOv3> ONNX> CoreML> iOS
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
翻译 - 用于微控制器的 TensorFlow Lite
#安卓#YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
翻译 - YOLOv4,YOLOv4-tiny,YOLOv3,YOLOv3-tiny在Tensorflow 2.0,Android中实现。转换YOLO v4 .weights张量流,张量和tflite
Flutter plugin for TensorFlow Lite
TensorFlow Lite Flutter Plugin
Examples using TensorFlow Lite API to run inference on Coral devices
TensorFlow Lite Flutter Helper Library
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
Depoly yolov5.tflite in android.
YOLOv5 in TF2 > TFLite > ONNX > TensorRT
Conversion of PyTorch Models into TFLite
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Real-time detection demo for Flutter tflite plugin
STMF429 Tflite Micro mnist
Tflite Mnist Digit Recognizer
Convert TensorFlow Lite models (*.tflite) to ONNX.
Port of MediaPipe tflite models to PyTorch
Person Detection using Yolov4-tiny-tflite
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
Go binding for TensorFlow Lite
翻译 - 绑定TensorFlow Lite
Export yolov5 model to run on cpu using tflite