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GitHub / trian-ctrn / IntrotoCS_2023
This project is part of the Introduction to Computer Science 2023 course at the Vietnamese German University. It involves implementing various popular object detection models to identify the number of trees in an image.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trian-ctrn%2FIntrotoCS_2023
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 101 MB
Dependencies:
83
Created: 6 months ago
Updated: 6 months ago
Last pushed: 6 months ago
Last synced: 3 months ago
Files
Dependencies
- Markdown ==3.5.1
- Werkzeug ==3.0.1
- absl-py ==2.0.0
- aiohttp ==3.8.6
- aiosignal ==1.3.1
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- anyio ==3.7.1
- astunparse ==1.6.3
- async-timeout ==4.0.3
- attrs ==23.1.0
- cachetools ==5.3.2
- certifi ==2023.7.22
- contourpy ==1.1.1
- cycler ==0.12.1
- datasets ==2.14.6
- dill ==0.3.7
- distro ==1.8.0
- flatbuffers ==23.5.26
- fonttools ==4.43.1
- frozenlist ==1.4.0
- fsspec ==2023.10.0
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- google-auth ==2.23.4
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- grpcio ==1.59.2
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- imageio ==2.31.6
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- libclang ==16.0.6
- lightning-utilities ==0.9.0
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- pycocotools ==2.0.7
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- tifffile ==2023.9.26
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- torchmetrics ==1.2.0
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- xmltodict ==0.13.0
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