806 Open source projects that are alternatives of or similar to Fastmaskrcnn

Face Video Segmentation - Face segmentation ground truth from videos

The LiDAR segmenters library, for segmentation-based detection.

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

PyTorch Implementation for Segmentation and Saliency Prediction

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

various cv tools, such as label tools, data augmentation, label conversion, etc.

Player detection and ball detection in football matches using image processing(opencv).

Automatic detection of defected solar panel modules

Summary of Transformer applications for computer vision tasks.

Semantic Aware Attention Based Deep Object Co-segmentation

Web Application Security Scanner Framework

A robust laser stripe extraction method for structured-light vision sensing

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

Android library for checking the internet connectivity of a device.

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

Generic framework for historical document processing

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm

A library for detecting file types.

No description or website provided.

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

Segmentation of 3D shapes in a common anatomical space

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

A simple and lightweight browser detection and logger library

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

exudates detection using hybrid approach (Image Morphology & Machine Learning)

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Object Detection API Tensorflow

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

No description or website provided.

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

Create and detect custom, complex gestures in React Native. 🍭

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

Windows C++ examples utilizing OpenCV for camera access and drawing the face tracking results.

Fast English word segmentation in Rust

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

Rectangle detection using the Hough transform

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Magic hashes – PHP hash "collisions"

A platform detection library.

Fire detection using OpenCV

This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

🚨🚨🚨 CornerNet:基于虚拟仿真环境下的自动驾驶交通标志识别

This repository contains the links to the article that I wrote on Medium pertaining to Image processing.

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Focal Loss for Dense Object Detection.

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Detect whether a person is wearing a mask or not