Python sample for referencing object detection model with TensorRT

Deployment of quantized TRT object detection models on Triton inference server

Real time object detection using tensorflow for Jetson Nano. Model in used is Mobilenet_SSD_V2 trained on COCO dataset and optimized using TensorRT (Tensorflow, TF-TRT)

script to perform object detection, tracking, and prediction w/depth from zed using tensorrt

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Bottleneck quantization for FasterRCNN object detection and encoder quantization (TRT)

Object detection using TF-TRT with TensorFlow v2 and YOLOv3

CMPE_DL hw02 object detection with yolo+vitdetr,onnx and trt

TRT SSD Object Detection from https://github.com/jkjung-avt/tensorrt_demos