ONNX ML model inference using FastAPI and Streamlit
-
Updated
Mar 14, 2024 - Python
ONNX ML model inference using FastAPI and Streamlit
License plate number recognition with YOLOv5 object detection algorithm and EasyOCR
Converted clone of PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)
This ML model is especially designed for Ed-Tech organizations who are confused to categorized their courses according to proper guidance. To solve this major problem, it's here to help you.
Computer Vision and Deep Learning
Final Project for Deep Learning course at NEU
Computer Vision and Deep Learning
Various Codes for azure function with python runtime
In this project, I used PyTorch and ONNX along with facenet-pytorch, Matplotlib,Yolov8, OpenCV, and computer vision techniques to detect multiple object. It uses a deep learning model to detect object in low-quality images
Computer Vision API V3 - Sanic, OpenCV, OpenVINO, ONNX
A simple package for installing & running Segment Anything (SAM) model in ONNX format.
FastAPI & ONNXmodel video frames analyzer
Pytorch_to_Tensorflow
Yolov4 ONNX Object Detector
A CLI tool to convert Keras models to ONNX models and TensorRT engines
Converted clone of PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)
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
Computer Vision and Deep Learning
Add a description, image, and links to the onnx-models topic page so that developers can more easily learn about it.
To associate your repository with the onnx-models topic, visit your repo's landing page and select "manage topics."