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:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○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
Last synced: 10 months ago
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JSON representation
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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
- Repositories: 1
- Profile: https://github.com/ishuliang
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