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ui-element-group

A click-related interface elements grouping tool based on yolov5.

https://github.com/darpa-4-aui/ui-element-group

Science Score: 44.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

A click-related interface elements grouping tool based on yolov5.

Basic Info
  • Host: GitHub
  • Owner: DARPA-4-AUI
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 407 KB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

The project aggregates click-related interface elements based on yolov5

Environment Setup

Windows/Linux + python version 3.9

pip install requirements.txt

Data Preparation

Create 4 folders under /data：images and JPEGImages containing raw dataset images in JPG format, Annotations containing annotated xml files.

python make_txt.py python voc_label.py //Replace classes in the file with the names of annotated classes

Create a yaml file for your dataset in /data, you can copy coco.yaml and modify the train, val, test fields to the relative paths of the three text files (.txt) generated after running the above code.

Training

python train.py

Our training subset is located in /labeldataorg.

Test Detection

python detect.py

Owner

  • Name: DARPA4AUI
  • Login: DARPA-4-AUI
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 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"

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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
pyproject.toml pypi
  • matplotlib >=3.3.0
  • 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
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.0.232
requirements.txt pypi
  • Pillow >=10.0.1
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • psutil *
  • requests >=2.23.0
  • scikit-image >=0.16.1
  • scikit-learn >=0.19.1
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=65.5.1
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.0.232
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==19.10.0
  • pip ==23.3
  • werkzeug >=3.0.1