350 Open source projects that are alternatives of or similar to DetectionMetrics

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Conversion of yolo from DarkNet to Caffe

Face recognition using facenet

Programmatically find and read labels using Machine Learning

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

ODAM - Object detection and Monitoring

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.

Go bindings for Darknet (YOLO v4 / v3)

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

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

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux

CCFDF rebar detection

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Good info about DeepWeb and OSINT

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

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

A repository of Tor hidden services.

The Devils Eye is an OSINT tool that extracts onion links and descriptions that match with the users query from the Darkweb, without requiring the use for Tor.

Gluon to PyTorch deep neural network model converter

A NodeJS wrapper of pjreddie's darknet / yolo.

DeepLab-LargeFOV implemented in tensorflow

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

PyTorch Implementation of Stacked U-Nets (SUNets)

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

How to create custom COCO data set for object detection

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

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.

DeepLab-ResNet rebuilt in TensorFlow

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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.

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

DeepLabv3+ built in TensorFlow

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

DeepLab resnet v2 model in pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Most popular metrics used to evaluate object detection algorithms.

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

DeepLabv3 built in TensorFlow

Convert between visual object detection datasets

DeepLab-ResNet rebuilt in Pytorch

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

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

WIDER FACE annotations converted to the Pascal VOC XML format

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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'

Real time instance segmentation with Mask R-CNN, live from webcam feed.