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apple_product_detection

https://github.com/yyz98799/apple_product_detection

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
  • ○
    DOI references
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: yyz98799
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 4.63 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

简介

通过mmdetection框架，训练并识别部分苹果产品。并采用ConvNeXt识别给定的直播场景。

安装

  1. 参考mmdetection安装指南，安装mmdetection
  2. 安装flask
    pip install flask # 运行 ## 服务器启动 切换至apple_demo目录，运行python phone_server.py。 ## 请求json示意 json { "img_base64": "iVBORw0KGgoAAAANSUhEUgAAADwAAAAuCAMAAABDPIrQAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAGUExURf///wAAAFXC034AAAACdFJOU/8A5bcwSgAAAAlwSFlzAAAXEQAAFxEByibzPwAAABlJREFUSEvtwQENAAAAwqD3T20PBwQAAOdqCvYAAQopjw8AAAAASUVORK5CYII=", "debug_mode": 1 } ## 响应json示意 json { "scene_class": 1, "results": [ { "center": false, "lockscreen": true, "reflection": false, "type": "phone_front", "probability": 0.318, "position": [ 115, 424, 310, 825 ] }, { "center": false, "lockscreen": false, "reflection": false, "type": "phone_back", "probability": 0.788, "position": [ 390, 387, 610, 828 ] } ] } # 注意事项
  3. 改动了mmdetection框架中coco数据集类别与类别数量，如需要运行coco数据集的识别需要自行恢复
  4. ConvNeXt模型配置文件为apple_demo/model.py

Owner

  • Login: yyz98799
  • Kind: user
  • Location: Hangzhou
  • Company: zjut

Well, I have picked up this account again。

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

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Dependencies

.circleci/docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • markdown >=3.4.0
  • myst-parser *
  • sphinx ==5.3.0
  • sphinx-copybutton *
  • sphinx_markdown_tables >=0.0.17
  • sphinx_rtd_theme *
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scikit-learn *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • protobuf <=3.20.1 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi