License plate number recognition with YOLOv5 object detection algorithm and EasyOCR
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Updated
May 17, 2023 - Python
License plate number recognition with YOLOv5 object detection algorithm and EasyOCR
ONNX ML model inference using FastAPI and Streamlit
Yolov4 ONNX Object Detector
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.
Converted clone of PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)
Computer Vision and Deep Learning
Final Project for Deep Learning course at NEU
A simple package for installing & running Segment Anything (SAM) model in ONNX format.
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
Pytorch_to_Tensorflow
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
PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))
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