yolact 开源项目推荐（34 个）

dbolya /yolact

用于实时实例分割的简单、完全卷积模型。

cmdbug /YOLOv5_NCNN

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

zgcr /SimpleAICV_pytorch_training_examples

SimpleAICV：pytorch 训练示例。

Zzh-tju /CIoU

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

leon-liangwu /MaskYolo_Caffe

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

leohsuofnthu /Tensorflow-YOLACT

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

YuqingWang1029 /Yolact_fcos

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

hpc203 /yolact-opencv-dnn-cpp-python

使用opencv部署yolact实例分割，包含C++和Python两种版本的程序

DataXujing /yolact_pytorch

🔥 🔥 🔥Train Your Own DataSet for YOLACT and YOLACT++ Instance Segmentation Model!!!

Eruvae /yolact_ros

ROS wrapper for yolact instance segmentation

anshkumar /yolact

Tensorflow 2.x implementation YOLACT

Ma-Dan /Yolact-CoreML

Yolact for iOS implemented using CoreML.

PINTO0309 /yolact_edge_onnx_tensorrt_myriad

Provides a conversion flow for YOLACT_Edge to models compatible with ONNX, TensorRT, OpenVINO and Myriad (OAK). My own implementation of post-processing allows for e2e inference. Support for Multi-Class NonMaximumSuppression, CombinedNonMaxSuppression.

MarkNaeem /depth_yolact_ros

ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation

simutisernestas /yolact

YOLACT execution with TensorRT

paul-pias /Social-Distance-Monitoring

Used Yolact++ to implement social distance monitoring.

Qengineering /Yolact-ncnn-Raspberry-Pi-4

Yolact running on the ncnn framework on a bare Raspberry Pi 4 with 64 OS, overclocked to 1950 MHz

Doodies /Person-Extraction

Real time person extraction with utmost accuracy

adityarc19 /traffic-vehicles-instance-segmentation

This is a real time instance segmentation task implemented with YOLACT++ and DCNv2 on Google Colab.

alessandro-crescenzi /A-deep-approach-for-an-adaptive-cruise-control-system

This is an implementation of an adaptive cruise control system based on a computer vision pipeline. This work is based on YOLACT, a State-Of-The-Art real-time instance segmentation network. You're welcome to test and try our code, we hope you'll enjoy this work!