1339 Open source projects that are alternatives of or similar to Paz

Cut and paste augmentation for object detection and instance segmentation

📖 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.

A Simple and Versatile Framework for Object Detection and Instance Recognition

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

The collection of pre-trained, state-of-the-art AI models for ailia SDK

⚾🤖⚾ Automatic baseball pitching overlay in realtime

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

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

Awesome Resources for Advanced Computer Vision Topics

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Self hosted alternative to Google Photos

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Copy-paste augmentation for segmentation and detection tasks

Be Driven 🚘

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Paper notes in deep learning/machine learning and computer vision

mmdetection源码注释

A curated list of repositories for my book Machine Learning Solutions.

📚 A collection of papers about Referring Image Segmentation.

Mask R-CNN for object detection and instance segmentation on Pytorch

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

A face database with a large number of high-quality attribute annotations

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

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

CenterNet: Objects as Points in Tensorflow

人脸识别算法，结合facenet网络结构和center loss作为损失，基于tensorflow框架，含训练和测试代码，支持从头训练和摄像头测试

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

💃 Pose estimation for iOS and android using TensorFlow 2.0

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

Aruco Markers for pose estimation

Simple Face Recognition Attendance System

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

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

SegSort: Segmentation by Discriminative Sorting of Segments

Color tracking with OpenCV

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

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

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

🍴 Annotations for the EPIC KITCHENS-55 Dataset.

Implementing Bag of Visual words approach for object classification and detection

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)