690 Open source projects that are alternatives of or similar to Yolov4 Pytorch

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

yolov3 by pytorch

High level network definitions with pre-trained weights in TensorFlow

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

Object localization in images using simple CNNs and Keras

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

🚀 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!

Efficient Featurized Image Pyramid Network for Single Shot Detector, CVPR, 2019

Expose tensorflow-lite models via a rest API

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

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

🎥 iOS11 demo application for dominant objects detection.

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Keras implementation of m2det object detection.

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

Enabling Deep Residual Networks for Weakly Supervised Object Detection

The ROS Package of Mask R-CNN for Object Detection and Segmentation

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

Best Practices, code samples, and documentation for Computer Vision.

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

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition

Serve machine learning models using tensorflow serving

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

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.

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Hierarchical Shot Detector (ICCV2019)

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

A Keras Implementation of Attention_based Siamese Manhattan LSTM

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Sorting numbers with pointer networks

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.

A general 3D object detection codebse.

Object detection from images/point cloud using ROS

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

A deep learning library based on Pytorch focussed on low resource language research and robustness

Pepper Programs : Object Detection Real Time without ROS

Real-time Detectron using webcam.

OpenMMLab's next-generation platform for general 3D object detection.

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

Convert any classification model or architecture trained in keras to an object detection model

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

PyTorch extensions for fast R&D prototyping and Kaggle farming

📚 Text classification library with Keras

Bangla Machine Translator

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.

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

Utilities to use tensorflow object detction api with a yolo like dataset

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A collection of computer vision pre-trained models.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

PyTorch implementation of some attentions for Deep Learning Researchers.