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data620004_homework2_task2

DATA620004_homework2_task2

https://github.com/debug-forever/data620004_homework2_task2

Science Score: 44.0%

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Repository

DATA620004_homework2_task2

Basic Info
  • Host: GitHub
  • Owner: debug-forever
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 12.8 MB
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  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

这是DATA620004homework2task2的作业仓库，在 https://github.com/open-mmlab/mmdetection 基础上修改而来。

运行方式：

1.安装环境依赖，其中mmcv版本为2.1.0，mmdet版本为3.3.0。

2.运行download_data.py下载并解压VOC数据集。

3.运行python data/VOCdevkit/voc2coco.py将VOC转换为coco数据集，运行data/VOCdevkit/segmentation.py脚本添加分割标注信息，脚本的路径需要根据实际存放路径修改。

4.运行python tools/train.py configs/maskrcnn/mask-rcnnr50fpn1x_coco.py训练mask-rcnn网络。

5.运行python tools/train.py configs/sparsercnn/sparse-rcnnr50fpn1x_coco.py训练sparse-rcnn网络。

以上操作会自动生成workdirs文件夹并记录tensorboard日志和每个epoch的模型，也可直接通过https://pan.baidu.com/s/1gmjetgNOsTre6pEuo22b4w?pwd=jk6a 下载训练好的模型，将workdirs文件架解压在根目录下。

6.数据可视化： 在根目录运行 tensorboard --logdir=workdirs 开启 tensorboard 可视化界面 修改tools/visualizewithsegmentation.py脚本中的图片路径信息，运行python tools/visualizewith_segmentation.py脚本，可视化输出保存在检测图片同级文件夹下。

Owner

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  • 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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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
docker/serve_cn/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
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
  • urllib3 <2.0.0
requirements/mminstall.txt pypi
  • mmcv >=2.0.0rc4,<2.2.0
  • mmengine >=0.7.1,<1.0.0
requirements/multimodal.txt pypi
  • fairscale *
  • jsonlines *
  • nltk *
  • pycocoevalcap *
  • transformers *
requirements/optional.txt pypi
  • cityscapesscripts *
  • emoji *
  • fairscale *
  • imagecorruptions *
  • scikit-learn *
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc4,<2.2.0
  • mmengine >=0.7.1,<1.0.0
  • scipy *
  • torch *
  • torchvision *
  • urllib3 <2.0.0
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • shapely *
  • six *
  • terminaltables *
  • tqdm *
requirements/tests.txt pypi
  • asynctest * test
  • cityscapesscripts * test
  • codecov * test
  • flake8 * test
  • imagecorruptions * test
  • instaboostfast * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • memory_profiler * test
  • nltk * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • parameterized * test
  • prettytable * test
  • protobuf <=3.20.1 test
  • psutil * test
  • pytest * test
  • transformers * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements/tracking.txt pypi
  • mmpretrain *
  • motmetrics *
  • numpy <1.24.0
  • scikit-learn *
  • seaborn *
requirements.txt pypi
setup.py pypi