iFLYTEK-A.I.-Developer-Competetion-3rd
XunFei2023,Competition,unmanned ship detected the barriers.
https://github.com/littlehorse5912/iFLYTEK-A.I.-Developer-Competetion-3rd
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.6%) to scientific vocabulary
Repository
XunFei2023,Competition,unmanned ship detected the barriers.
Basic Info
- Host: GitHub
- Owner: littlehorse5912
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 135 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
讯飞算法大赛2023<无人船障碍物检测>3rd
XunFei2023,Competition,unmanned ship detected the barriers.
参数情况与结果
- yolov8x/epochs=200 batch=4 imgsz=640 lr=0.01/mAP0.5-0.95:0.557/lb:0.45592/未做数据增广
- yolov8x/epochs=200 batch=4 imgsz=640 lr=0.01/mAP0.5-0.95:0.561/lb:0.43762/针对数量少的类别ball,rubbish做了类别不平衡方式的增广
note
1.预训练模型的位置在models/pre.pt,如需更换预训练模型请将你的预训练模型放到这里,并修改名称为pre.pt
2.数据增广脚本在trick/LabelExpansion.py下,请将需要增广的数据集(包括.jpg和.txt)放到origindata下,增广后的数据将保存到augdata下,执行split_txtandjpg.py可以把图片和标签分开
3.在做数据增广之前请查看"trick/修改标签说明.doc"将原始数据中的误标数据修正
4.ultralytics/cfg/default.yaml是配置文件所在处
5.执行train.py将开始训练,模型将保存到runs/detec/train/weights下
6.TTA & ensemble
Owner
- Name: littlehorse
- Login: littlehorse5912
- Kind: user
- Location: China
- Repositories: 1
- Profile: https://github.com/littlehorse5912
no talent just hardworking.
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: If you use this software, please cite it as below.
authors:
- family-names: Jocher
given-names: Glenn
orcid: "https://orcid.org/0000-0001-5950-6979"
- family-names: Chaurasia
given-names: Ayush
orcid: "https://orcid.org/0000-0002-7603-6750"
- family-names: Qiu
given-names: Jing
orcid: "https://orcid.org/0000-0003-3783-7069"
title: "YOLO by Ultralytics"
version: 8.0.0
# doi: 10.5281/zenodo.3908559 # TODO
date-released: 2023-1-10
license: AGPL-3.0
url: "https://github.com/ultralytics/ultralytics"
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Dependencies
- pytorch/pytorch 2.0.1-cuda11.7-cudnn8-runtime build
- matplotlib >=3.2.2
- numpy >=1.22.2
- opencv-python >=4.6.0
- pandas >=1.1.4
- pillow >=7.1.2
- psutil *
- py-cpuinfo *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- torch >=1.7.0
- torchvision >=0.8.1
- tqdm >=4.64.0