det_bboxes, det_labels = self.query_head.onnx_export(*outs, img_metas) return det_bboxes, det_labelsFooter © 2024 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs Contact Manage cookies Do not share my personal information ...
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This repo is the official implementation of "DETRs with Collaborative Hybrid Assignments Training" by Zhuofan Zong, Guanglu Song, and Yu Liu.News[07/03/2023] Co-DETR with ViT-L (304M parameters) sets a new record of 65.6 AP on COCO test-dev, surpassing the previous best model Intern...
源码链接:https://github.com/Sense-X/Co-DETR 简介 目标检测是计算机视觉中一项基础任务,它要求对目标进行定位和分类。RCNN家族和一系列变体(ATSS、RetinaNet、FCOS等)导致目标检测任务的重大突破。一对多标签分配时它们核心方案,其中每个GT框被分配到检测器输出中的多个坐标,作为与建议框、锚框或窗口中心合作的监督...
code: https://github.com/Sense-X/Co-DETRgithub.com/Sense-X/Co-DETR 环境安装: We implement Co-DETR usingMMDetection V2.25.3andMMCV V1.5.0. The source code of MMdetection has been included in this repo and you only need to build MMCV followingofficial instructions. We test our models...
project code - We use mmdet as the training framework and use co-detr as the base model configs - Contains training and inference configurations mmdet - Contains various model framework codes tools - Contains code to transform initial weights into a dual-stream model dist_train.sh - Distributed...
Files dev configs demo docker docs figures mmcv_custom mmdet projects requirements resources tests tools .gitignore .readthedocs.yml LICENSE README.md requirements.txt setup.cfg setup.py
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This repo is the official implementation of "DETRs with Collaborative Hybrid Assignments Training" by Zhuofan Zong, Guanglu Song, and Yu Liu.News[07/12/2023] We finetune Co-DETR on LVIS and achieve the best results without TTA: 71.2 box AP and 59.7 mask AP on LVIS minival, 66.9 box ...
Security Insights Additional navigation options main Branches 0Tags Code Repository files navigation README License DETRs with Collaborative Hybrid Assignments Training This repo is the official implementation of"DETRs with Collaborative Hybrid Assignments Training"by Zhuofan Zong, Guanglu Song, and Yu Liu...