C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
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Updated
Dec 13, 2021 - C++
C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
Dog Breed Classification app trained with ResNet18 and EfficientNetB0, achieved ~90% accuracy
Evaluation for object detection models
morse code decoder for Pi4
A Real Time Object Detection using YOLO
Which framework is the fastest on the most popular mobile platform
Convert a large ONNX model file into smaller JSON chunks
Rede neural YOLOv7-fork para detecção de garfos em C++ usando OpenCV e ONNXRunTime.
Machine Learning API built using Fast API.
The project is a Dockerized microservice utilizing YOLO for object detection, managed with Docker Compose. It exposes a REST API for detection tasks, ensuring scalability and ease of deployment. Developed with FastAPI, it accurately detects and reports objects within images, prioritizing code quality, containerization efficiency, and clear document
Model lightweighting example using ONNX.
A multilabel text classifier model which can predict book genres based on the description provided.
Simple CNN classification example using pytorch. Training, exporting from pytorch to onnx and inference both pytorch and onnxruntime.
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State of the art image upscaling, directly in your browser.
Real-time face detection system for security checkpoints
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