488 Open source projects that are alternatives of or similar to Vod Converter

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Label images and video for Computer Vision applications

This repository contains the source code of our work on designing efficient CNNs for computer vision

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Most popular metrics used to evaluate object detection algorithms.

Free to use online tool for labelling photos. https://makesense.ai

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Real-time object detection on Android using the YOLO network with TensorFlow

How to create custom COCO data set for object detection

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

weakly-supervised object detection platform.

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

PyTorch implementation of several SSD based object detection algorithms.

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

WIDER FACE annotations converted to the Pascal VOC XML format

A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.

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

Accelerated deep learning R&D

Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

Self hosted alternative to Google Photos

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Home Assistant custom component for using Deepstack object detection

Object detection on multiple datasets with an automatically learned unified label space.

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

Focal Loss for Dense Object Detection.

The remake of the https://github.com/biubug6/Pytorch_Retinaface

Tools for object detection annotations in machine learning

Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

OpenMMLab Detection Toolbox and Benchmark

目标检测数据集标注工具

Make drawing and labeling bounding boxes easy as cake

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Siamese Mask R-CNN model for one-shot instance segmentation

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

VoVNet backbone networks for detectron2, in CVPR 2020

Image segmentation - general superpixel segmentation & center detection & region growing

Perception toolkit for sim2real training and validation

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

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

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

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

Deep Learning toolkit for Computer Vision.

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

A simple pytorch implementation of CenterNet (Objects as Points)

🌮 Trash Annotations in Context Dataset Toolkit