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Search results for pytorch detectron2
detectron2
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pytorch
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29 search results found
Sahi
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3,340
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Centermask2
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673
CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020
Entity
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596
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Panoptic Deeplab
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333
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Vovnet Detectron2
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300
VoVNet backbone networks for detectron2, in CVPR 2020
Bottom Up Attention.pytorch
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207
A PyTorch reimplementation of bottom-up-attention models
Detectron2_backbone
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193
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
Ikomiaapi
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191
Deploy Computer Vision solutions with a few lines of code.
Pointrend Pytorch
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158
A PyTorch implementation of PointRend: Image Segmentation as Rendering
Detectron2
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130
Detectron2 for Document Layout Analysis
Detectree2
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118
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
Detectron2
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88
detectron2 windows build
Retinaface_detectron2
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57
Face Detection Based on Detectron2
Mgd
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40
Matching Guided Distillation (ECCV 2020)
Centernet Better Plus
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31
centernet
Baskettracking
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24
Basketball 🏀 action tracking and understanding using classical computer vision approaches and deep learning.
Detectron2 Publaynet
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24
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Indoor Pet Detection
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22
A demo project for indoor pet detection using Unity generated synthetic data.
H2fa_r Cnn
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14
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection, in CVPR 2022
Efficientps
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12
Implementation of EfficientPS paper for Panoptic segmentation
Danet
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12
A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"
Clad
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11
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
Signfeld
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9
Synthetic traffic sign detectron
Car_damage_instance_segmentation_model
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9
Computer Vision
Emanet
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8
A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"
Fruit Detection In Orchards
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8
Fruit Detection and Counting Model research for Yield mapping and Robotic harvesting
Detectron2
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7
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.
Efficient_net_v2
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5
Pytorch implementation of efficientnet v2 backbone with detectron2 for object detection (Just for fun)
Large Scale Object Detection With Sahi Detectron2
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5
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