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Search results for python object detection
1,851 search results found
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Deep Learning For Image Processing
deep learning for image processing including classification and object-detection etc.
Cvpr2023 Papers With Code
CVPR 2023 论文和开源项目合集
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
End-to-End Object Detection with Transformers
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
A paper list of object detection using deep learning.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Best Practices, code samples, and documentation for Computer Vision.
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
NVR with realtime local object detection for IP cameras
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Pytorch Grad Cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Techniques for deep learning with satellite & aerial imagery
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Gluon CV Toolkit
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Object Detection Metrics
Most popular metrics used to evaluate object detection algorithms.
A PyTorch Implementation of Single Shot MultiBox Detector
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
Tf Faster Rcnn
Tensorflow Faster RCNN for Object Detection
A Unified Toolkit for Deep Learning Based Document Image Analysis
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Accelerated deep learning R&D
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Simple and comprehensive tutorials in TensorFlow
A Pytorch Tutorial To Object Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Pytorch Yolo V3
A PyTorch implementation of the YOLO v3 object detection algorithm
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Deep Learning toolkit for Computer Vision.
Simultaneous object detection and tracking using center points.
Tensorflow Yolov4 Tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Database system for building simpler and faster AI-powered applications
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
An open source library and framework for deep learning on satellite and aerial imagery.
Lightweight Python library for adding real-time multi-object tracking to any detector.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Object Detection And Tracking
Object Detection and Multi-Object Tracking
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
A Keras port of Single Shot MultiBox Detector
SECOND for KITTI/NuScenes object detection
Papers and Datasets about Point Cloud.
Training and Detecting Objects with YOLO3
Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
You Only Look Once for Panopitic Driving Perception.（MIR2022）
An all-in-one toolkit for computer vision
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
PyTorch extensions for fast R&D prototyping and Kaggle farming
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
Weighted Boxes Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Deep Hough Voting for 3D Object Detection in Point Clouds
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.
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
[CVPR2021] End-to-End Object Detection with Learnable Proposal
detrex is a research platform for Transformer-based Instance Recognition algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (ICLR 2023), H-DETR (CVPR 2023), MaskDINO (CVPR 2023), DETA (ArXiv 2022), etc.
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
High quality, fast, modular reference implementation of SSD in PyTorch
📊 Benchmark multiple object trackers (MOT) in Python
Yolov3 Model Pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Demo Self Driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
PANet for Instance Segmentation and Object Detection
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
Cv Pretrained Model
A collection of computer vision pre-trained models.
Complex Yolov4 Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Frustum PointNets for 3D Object Detection from RGB-D Data
High level network definitions with pre-trained weights in TensorFlow
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
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