563 Open source projects that are alternatives of or similar to Metar Cnn

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

A PyTorch Detectron codebase for domain adaptation of object detectors.

Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Simpler app for tensorflow object detection API

Keras Object Detection API with YOLK project 🍳

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

VarifocalNet: An IoU-aware Dense Object Detector

NVR with realtime local object detection for IP cameras

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

FCOS: Fully Convolutional One-Stage Object Detection.

How to run Object Detection and Segmentation on a Video Fast for Free

🙄 Difficult algorithm, Simple code.

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

Some experiments with object detection in PyTorch

YOLOv2 trained against custom dataset

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

🐱 Take kemono pictures and lines up 3, then tanoshii

Physical adversarial attack for fooling the Faster R-CNN object detector

How to run YOLO on Jetson TX2

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

Training and Detecting Objects with YOLO3

Hands video tracker using the Tensorflow Object Detection API and Faster RCNN model. The data used is the Hand Dataset from University of Oxford.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Open Toolkit for Painless Object Detection

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

Deep Learning sample programs using PyTorch in C++

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Boundary-preserving Mask R-CNN (ECCV 2020)

Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model

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

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Yolo (Real time object detection) model training tutorial with deep learning neural networks

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

[ICLR'19] Meta-learning with differentiable closed-form solvers

Implementing Bag of Visual words approach for object classification and detection

Awesome Resources for Advanced Computer Vision Topics

OpenCV trained detection models: Haar, HOG and other

9th Place Solution of Kaggle Global Wheat Detection

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Tiny YOLO v2 object detection with tensorflow.js.

A paper list of object detection using deep learning.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Object Detection Progress Tracker

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

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite