pathological_image_cell_segmentation

大三短学期

https://github.com/ishuliang/pathological_image_cell_segmentation

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

大三短学期

Basic Info
  • Host: GitHub
  • Owner: ishuliang
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 40.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

一,代码结构

二,在根目录下新建六个文件夹

json

所有日志的json文件放在'./json' , json下的文件暂时命名为log.json -----> 主要用来画出我们需要的折线图

data

数据文件放在'./data',所有命名格式要求参考样例

-----> 没找到合适的方法来修改CoCoDataSet

config_model

所有配置文件放在 './config_model' ----> 主要来进行测试和训练的,尽量不要用平台的提供的继承配置文件,没有测试是否可以

result,uploaded_files

手动创建 './result'、'./uploaded_files'

-----> 缓存一下数据信息

work_dirs

训练后的权重文件放在'./workdirs'

-----> 可以找到代码修改

三,修改部分训练文件的coco分类类别

由于我们预测的病理细胞类别数共5类,所以需要修改分类的类别数

"/mmdet/datasets/coco.py"

CocoDataset类的METAINFO的classes属性值修改为 ('1', '2', '3', '4', '5')

"/mmdet/evaluation/functional/class_names.py"

coco_classes方法的返回值设为 '1', '2', '3', '4', '5'

Owner

  • Login: ishuliang
  • Kind: user

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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