227 Open source projects that are alternatives of or similar to Yolov3-TensorRT-py

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

You can import this module directly

YOLOv4 object detector using TensorRT engine

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Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

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Example of loading a Keras model into TensorRT C++ API

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Sample projects for TensorRT in C++

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

pnn is Darknet compatible neural nets inference engine implemented in Rust.

Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

using yolox+deepsort for object-tracking

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

A simplification of Tensorflow Tensor Operations

A pytorch implementation of YOLOv1-v3

Tensorflow to TensorRT Model Converter

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

A flexible Python front-end inference SDK based on TensorRT

Go bindings for Darknet (YOLO v4 / v3)

Scaled-YOLOv4: Scaling Cross Stage Partial Network

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

openpose, yolov3 with tiny-tensorrt

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

基于opencv的4种YOLO目标检测，C++和Python两个版本的实现，仅仅只依赖opencv库就可以运行

Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.

The back-end for the YOLOv3 object detector running as a webapp

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Using yolo v3 object detection on ios platform.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

TensorRT int8 量化部署 yolov5s 模型，实测3.3ms一帧！

Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"

YOLOv3 for iOS implemented using CoreML.

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YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

The purpose of this project is to apply mediapipe to more AI chips.

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YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

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Got 100fps on TX2. Got 500fps on GeForce GTX 1660 Ti. If the project is useful to you, please Star it.

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

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电力人工智能数据竞赛——安全帽未佩戴行为目标检测赛道基准模型

The library is MJPEG stream decoder based on libcurl and OpenCV, and written in C/C++.

Framework to build your own reverse image search engine

Object detection for video surveillance

Neural Network to predict face touch on live feed and warn you, "don't touch the face".

Social distance monitoring in real-time with an IP camera. Optimized for better performance with threading.