This project provides a high-performance implementation of YOLOv11 object detection using TensorRT for inference acceleration. The pipeline processes images and videos in batches, leveraging CUDA for preprocessing and inference. Non-Maximum Suppression (NMS) and postprocessing are performed on the CPU to optimize results.
A pioneering open-source project providing an efficient, predictive personal protective equipment (PPE) detection system. This revolutionary technology leverages high-performance object detection models by using TensorRT pair with orchestrated services and asynchronous tasks handling.
a web application base that help you to classify the grabage by using AI. We want you to handle the grabage easier, so we come up with this solution to help you. This project is part of one night miracle team
A API provides face bounding box and face-landmarks for face-detection. this project use face-detection model as MTCNN model that returns 5 points face-landmark and Facenet fro face-recognition model.
This project is part of CPE327 Software Engineer to deverlop a application by using software engineer prnciple. Our team deverlop a learning platform that user can buy a couse with their perference.