120 Open source projects that are alternatives of or similar to Tensorflow-Object-Detection-API-train-custom-Mask-R-CNN-model

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Real time instance segmentation with Mask R-CNN, live from webcam feed.

A sample project to build a custom Mask RCNN model using Tensorflow object detection API

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

Run object detection on edge devices using Tensorflow Lite

Cell Detection with PyTorch.

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Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

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A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

The Official PyTorch Implementation of DiscoBox.

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Fish instance segmentation using Mask-RCNN

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VoVNet backbone networks for detectron2, in CVPR 2020

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🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

Unofficial implementation of MaX-DeepLab for Instance Segmentation

Open solution to the Google AI Object Detection Challenge 🍁

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Instance segmentation for anime characters based on CondInst and SOLOv2

Streamlit tool to explore coco datasets

Side projects and hands-on work

Implementation of ECCV20 paper: the devil is in classification: a simple framework for long-tail object detection and instance segmentation

Fashion Item segmentation with Mask_RCNN

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

How to create custom COCO data set for instance segmentation

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

The implementation for the AutoSweep (TVCG 2018)

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Flood-Filling Networks for instance segmentation in 3d volumes.

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D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

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PyTorch re-implementation of DeepMask

SOLOv2 pytorch (without mmdetection and mmcv)

DCIC 钢筋数量AI识别 baseline 0.98+。

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

Counting the number of people in a video.

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