YOLOR with TensorRT

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.

GitHub Repository

Feature

• Based on the combination of FastAPI, TensorRT and Celery for distributed PPE detection using image data sent via API calls.
• Task queue and message brokering are managed by RabbitMQ and Redis, ensuring a robust, high-performance system.
• TensorRT environment is prepared through a Dockerfile, ensuring smooth operation of the system.

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