2462 Open source projects that are alternatives of or similar to Rectlabel Support

Deformable convolution net on Tensorflow

Video detection library

Research platform for 3D object detection in PyTorch.

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

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

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

Self-hosted NVR with object detection

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Deep learning codes and projects using Python

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

TensorFlow implementation of the YOLO (You Only Look Once)

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

Deep Learning toolkit for Computer Vision.

YOLO ModelCompression MultidatasetTraining

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

YoloV3 Implemented in Tensorflow 2.0

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

Neural networks training pipeline based on PyTorch

Accelerated deep learning R&D

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

YOLO: You only look once real-time object detector

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

PyTorch implementation of several SSD based object detection algorithms.

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Yolo to COCO annotation format converter

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

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

📖 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.

Annotate Images (or goats) On The Web™

All-in-one Toolbox for Computer Vision Research.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

php ffi darknet

AutoGluon: AutoML for Text, Image, and Tabular Data

OpenCV based DNN Object Detection Library for Openframeworks

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Mask RCNN in TensorFlow

Abnormal behavior detection in the video surveillance based on yolo darknet

People detection and optional tracking with Tensorflow backend.

A PyTorch implementation of the YOLO v3 object detection algorithm

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Parametric Contrastive Learning (ICCV2021)

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

🍎 My own face recognition with deep neural networks.

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

The code for preparing the training data for crowd counting / segmentation algorithm.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Bottleneck Transformers for Visual Recognition

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming obj…

Variants of Vision Transformer and its downstream tasks

One-click image sorting/labelling script

vehicle detection with deep learning

Object Detection API Tensorflow

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

Textboxes : Image Text Detection Model : python package (tensorflow)

Target detection in the first frame and Tracking target by SiamRPN.

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

OpenMMLab Model Compression Toolbox and Benchmark.

Code used for training Faster R-CNN on DOTA