tensorrt
There are 652 repositories under tensorrt topic.
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
trt_pose
Real-time pose estimation accelerated with NVIDIA TensorRT
Stable-Diffusion-NCNN
Stable Diffusion in NCNN with c++, supported txt2img and img2img
retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
TensorRT-For-YOLO-Series
tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Adlik
Adlik: Toolkit for Accelerating Deep Learning Inference
tiny-tensorrt
Deploy your model with TensorRT quickly.
YOLOU
YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO
bmf
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.
yolort
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
tf_trt_models
TensorFlow models accelerated with NVIDIA TensorRT
flexible-yolov5
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
deepvac
PyTorch Project Specification.
Jetson-Nano-Ubuntu-20-image
Jetson Nano with Ubuntu 20.04 image
yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
TensorFlow-2.x-YOLOv3
YOLOv3 implementation in TensorFlow 2.3.1
mmdetection-to-tensorrt
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
nanosam
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
centerX
This repo is implemented based on detectron2 and centernet
x-stable-diffusion
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
Forward
A library for high performance deep learning inference on NVIDIA GPUs.
enhancr
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app
nndeploy
nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础,致力为用户提供跨平台、简单易用、高性能的模型部署体验。
tensorrt-cpp-api
TensorRT C++ API Tutorial
FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
tensorRT
TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据
Savant
Python Computer Vision & Video Analytics Framework With Batteries Included
cv-detect-robot
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
TensorRT-Yolov3
TensorRT for Yolov3
tflite_gles_app
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
InsightFace-REST
InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
YOLOv8-TensorRT-CPP
YOLOv8 TensorRT C++ Implementation
tf_to_trt_image_classification
Image classification with NVIDIA TensorRT from TensorFlow models.
yolov5
YOLOv5 汉化版,保持官方同步更新
yolov5-deepsort-tensorrt
A c++ implementation of yolov5 and deepsort