863 Open source projects that are alternatives of or similar to Mmdetection To Tensorrt

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Simpler app for tensorflow object detection API

OpenMMLab Detection Toolbox and Benchmark

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

项目注释+论文复现+算法竞赛

High level network definitions with pre-trained weights in TensorFlow

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Train a state-of-the-art yolov3 object detector from scratch!

High quality, fast, modular reference implementation of SSD in PyTorch

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

A PyTorch Detectron codebase for domain adaptation of object detectors.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

yolov3 by pytorch

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

A Keras port of Single Shot MultiBox Detector

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

This is a repository for an object detection inference API using the Tensorflow framework.

A PyTorch Implementation of Knowledge Distillation on SSD

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

🙄 Difficult algorithm, Simple code.

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Boundary-preserving Mask R-CNN (ECCV 2020)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Physical adversarial attack for fooling the Faster R-CNN object detector

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型

Video Platform for Action Recognition and Object Detection in Pytorch

Face detection using deep learning.

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

YoloV3 Implemented in Tensorflow 2.0

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

PyTorch implementation of several SSD based object detection algorithms.

Deep Learning toolkit for Computer Vision.

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

A pytorch Implementation of classical object detection.

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.