Convert popular Deep learning models to TensorRT using C++ API (preferably)

An oriented object detection framework based on TensorRT

Using TensorRT integration in Tensorflow to perform CNN inference.

剥离mmdeploy写的tensorrt plugins，直接在tensorrt编程环境中使用。主要是mmdeploy整合太狠，给整懵了。额，平时还是语义分割用的比较多，实例分割就玩一下。

A MNIST model is defined and trained in Jax, then converted to TensorRT for inference.

In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary language, even low-resource.

This is an mnist example of how to transfer a .pt file to .onnx, then transfer .onnx file to .trt file.

Script to check ONNX model compatibility against TensorRT versions using docker images

Simply crop the face from the image at high speed and save.

Inference YOLOv7 tiny detection on ONNX, RKNN, Horizon and TensorRT

A model weights quantization library which converts weights to fp32, fp16 or calibrated int8 for faster inference using Nvidia Tensor-rt backend . Compatible with vision models inside keras applications.

Fork from triple-Mu/YOLOv8-TensorRT, add dynamic batch size to allow batch inference

Forward Prediction of (.engine) generated by YOLOV5 6.1 Only need TensorRT package

Rankings include: Depth Anything DPT FutureDepth GBDMF GenPercept LeReS LightedDepth LFVRT Marigold Metric3D MiDaS NeWCRFs PatchFusion UniDepth ZoeDepth

Interactive AI Light Show

C++ library based on tensorrt integration

Implementation of popular deep learning networks with TensorRT network definition API

An algorithm of detecting vehicle orientation from single camera