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GitHub / saizk / Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
Stars: 51
Forks: 21
Open Issues: 1
License: mit
Language: Jupyter Notebook
Repo Size: 827 MB
Dependencies:
36
Created: over 2 years ago
Updated: about 1 month ago
Last pushed: about 2 months ago
Last synced: 29 days ago
Topics: cnn, computer-vision, deep-learning, google-maps, image-segmentation, object-detection, pv-systems, solar-panels
Files
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Readme
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Dependencies
app/requirements.txt
pypi
- albumentations *
- efficientnet-pytorch ==0.6.3
- matplotlib *
- opencv-python--headless *
- pretrainedmodels *
- python-dotenv *
- streamlit *
- timm ==0.4.12
- torch *
- torchvision *
- tqdm *
- gcr.io/google-appengine/python latest build
requirements.txt
pypi
- Sphinx *
- albumentations >=1.1.0
- awscli *
- click *
- coverage *
- cython >=0.29.24
- flake8 *
- googlemaps ==4.5.3
- matplotlib ==3.4.3
- opencv-python ==4.5.4.58
- pandas ==1.1.5
- pycocotools ==2.0.2
- python-dotenv >=0.5.1
- pytorch-lightning >=1.5.9
- scipy ==1.10.0
- seaborn >=0.11.0
- sentinelsat ==1.1.0
- tabulate ==0.8.9
- tensorboard >=2.4.1
- wandb >=0.12.6
- wheel >=0.37.0
setup.py
pypi