Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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 (6.5%) to scientific vocabulary
Repository
MobileNetVitv2-TOOD
Basic Info
- Host: GitHub
- Owner: onewangqianqian
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 12.7 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Running
Install
We implement SSA-Co-DETR using MMDetection V2.15.0 and MMCV V1.5.0.
The source code of MMdetection has been included in this repo and you only need to build MMCV following official instructions.
We test our models under python=3.7.11,pytorch=1.8.1. Other versions may not be compatible.
Data
Solar Radio Burst Dataset: https://drive.google.com/file/d/1v3zkDgHatldortmoB8QE6Xw2NcyPOaU3/view?usp=drive_link. We are addressing the long-tail issue of the dataset in our next steps, and the dataset will be made publicly available upon completion (original data source: https://www.e-callisto.org/index.html).
The COCO dataset should be organized as: ```
── annotations ├── instancestrain2017.json │ └── instancesval2017.json │── train2017 └── val2017
```
Training
Train:
shell
python tools/train.py configs/tood/tood_mvit_v2_cefpn_1x_coco_anchorbase_1504.py
test:
shell
python tools/testtrain.py configs/tood/tood_mvit_v2_cefpn_1x_coco_anchorbase_1504.py
Owner
- Login: onewangqianqian
- Kind: user
- Repositories: 1
- Profile: https://github.com/onewangqianqian
GitHub Events
Total
- Push event: 3
- Create event: 2
Last Year
- Push event: 3
- Create event: 2
Dependencies
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- albumentations >=0.3.2
- cython *
- numpy *
- 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 *
- mmcv-full >=1.3.17
- cityscapesscripts *
- imagecorruptions *
- scikit-learn *
- mmcv *
- torch *
- torchvision *
- matplotlib *
- numpy *
- pycocotools *
- scipy *
- six *
- terminaltables *
- 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