taiwan_agricultural_research_institute-project

https://github.com/tony00728/taiwan_agricultural_research_institute-project

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
Links to: arxiv.org
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: Tony00728
Language: Python
Default Branch: main
Size: 2.4 MB

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Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created almost 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme Citation

TaiwanAgriculturalResearch_Institute-project-鳳梨釋迦果樹影像蒐集與偵測辨識

Reference papers - YOLOv3: An Incremental Improvement

鳳梨釋迦果樹影像-修枝前

鳳梨釋迦果樹影像-剪枝後

鳳梨釋迦果樹影像-開花授粉期

鳳梨釋迦果樹影像-結實期

鳳梨釋迦果樹影像-套袋期

Label dataset

利用LabelImg影像標註工具

Training

創個yaml檔案.data/kitti.yaml，裡面要有訓練集、驗證集、測試集路徑位址，以及打上所有類別例如:第0類修枝期為tree00、第1類剪枝期為tree01、第2類開花授粉期為tree02、第3類結實期為tree03、第4類套袋期為tree_04

準備.data/project/train.txt(train.txt/val.txt) 將訓練圖片位址放入，格式如下 /home/tony/yolov3-master/atemoya_img/train/01_1.jpg /home/tony/yolov3-master/atemoya_img/train/01_2.jpg /home/tony/yolov3-master/atemoya_img/train/01_3.jpg /home/tony/yolov3-master/atemoya_img/train/01_4.jpg ...

run python train.py

Detect

python detect.py

Testing

檢測結果跟test原本的Ground truth 進行運算後得到各類AP修枝期為0.731、剪枝期為0.867 、開花授粉期為0.899、結實期為0.839、套袋期為0.721以及整體mAP達到0.8116(81.16%)

reviewobjectdetection_metrics

Result

```

Citation

@article{redmon2018yolov3, title={Yolov3: An incremental improvement}, author={Redmon, Joseph and Farhadi, Ali}, journal={arXiv preprint arXiv:1804.02767}, year={2018} }

Owner

Login: Tony00728
Kind: user

Repositories: 3
Profile: https://github.com/Tony00728

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use , please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: " by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

GitHub Events

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Dependencies

utils/docker/Dockerfile docker

pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build

utils/google_app_engine/Dockerfile docker

gcr.io/google-appengine/python latest build

requirements.txt pypi

Pillow >=7.1.2
PyYAML >=5.3.1
gitpython >=3.1.30
ipython *
matplotlib >=3.3
numpy >=1.18.5
opencv-python >=4.1.1
pandas >=1.1.4
psutil *
requests >=2.23.0
scipy >=1.4.1
seaborn >=0.11.0
setuptools >=65.5.1
tensorboard >=2.4.1
thop >=0.1.1
torchvision >=0.8.1
tqdm >=4.64.0
ultralytics >=8.0.111

utils/google_app_engine/additional_requirements.txt pypi

Flask ==2.3.2
gunicorn ==19.10.0
pip ==21.1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science