├── .gitignore ├── LICENSE ├── README.md ├── data ├── classification │ ├── cats │ │ ├── adorable-animal-blur-617278.jpg │ │ └── adorable-animal-cat-20787.jpg │ └── dogs │ │ ├── 1.jpg │ │ └── 2.jpg ├── segmentation │ ├── input │ │ ├── ISIC_0000000.jpg │ │ ├── ISIC_0000001.jpg │ │ ├── ISIC_0000003.jpg │ │ ├── ISIC_0000004.jpg │ │ ├── ISIC_0000006.jpg │ │ ├── ISIC_0000007.jpg │ │ ├── ISIC_0000008.jpg │ │ ├── ISIC_0000009.jpg │ │ ├── ISIC_0000011.jpg │ │ ├── ISIC_0000012.jpg │ │ ├── ISIC_0000013.jpg │ │ ├── ISIC_0000014.jpg │ │ ├── ISIC_0000015.jpg │ │ ├── ISIC_0000016.jpg │ │ ├── ISIC_0000017.jpg │ │ ├── ISIC_0000018.jpg │ │ ├── ISIC_0000019.jpg │ │ ├── ISIC_0000020.jpg │ │ ├── ISIC_0000021.jpg │ │ ├── ISIC_0000022.jpg │ │ ├── ISIC_0000023.jpg │ │ ├── ISIC_0000024.jpg │ │ ├── ISIC_0000025.jpg │ │ ├── ISIC_0000026.jpg │ │ ├── ISIC_0000027.jpg │ │ ├── ISIC_0000028.jpg │ │ ├── ISIC_0000029.jpg │ │ └── ISIC_0000030.jpg │ └── masks │ │ ├── ISIC_0000000_segmentation.png │ │ ├── ISIC_0000001_segmentation.png │ │ ├── ISIC_0000003_segmentation.png │ │ ├── ISIC_0000004_segmentation.png │ │ ├── ISIC_0000006_segmentation.png │ │ ├── ISIC_0000007_segmentation.png │ │ ├── ISIC_0000008_segmentation.png │ │ ├── ISIC_0000009_segmentation.png │ │ ├── ISIC_0000011_segmentation.png │ │ ├── ISIC_0000012_segmentation.png │ │ ├── ISIC_0000013_segmentation.png │ │ ├── ISIC_0000014_segmentation.png │ │ ├── ISIC_0000015_segmentation.png │ │ ├── ISIC_0000016_segmentation.png │ │ ├── ISIC_0000017_segmentation.png │ │ ├── ISIC_0000018_segmentation.png │ │ ├── ISIC_0000019_segmentation.png │ │ ├── ISIC_0000020_segmentation.png │ │ ├── ISIC_0000021_segmentation.png │ │ ├── ISIC_0000022_segmentation.png │ │ ├── ISIC_0000023_segmentation.png │ │ ├── ISIC_0000024_segmentation.png │ │ ├── ISIC_0000025_segmentation.png │ │ ├── ISIC_0000026_segmentation.png │ │ ├── ISIC_0000027_segmentation.png │ │ ├── ISIC_0000028_segmentation.png │ │ ├── ISIC_0000029_segmentation.png │ │ └── ISIC_0000030_segmentation.png └── sources.txt └── notebooks ├── 144-Crop.ipynb ├── PyTorch_Data_Augmentation_Image_Classification.ipynb └── PyTorch_Data_Augmentation_Image_Segmentation.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | 49 | # Translations 50 | *.mo 51 | *.pot 52 | 53 | # Django stuff: 54 | *.log 55 | local_settings.py 56 | 57 | # Flask stuff: 58 | instance/ 59 | .webassets-cache 60 | 61 | # Scrapy stuff: 62 | .scrapy 63 | 64 | # Sphinx documentation 65 | docs/_build/ 66 | 67 | # PyBuilder 68 | target/ 69 | 70 | # Jupyter Notebook 71 | .ipynb_checkpoints 72 | 73 | # pyenv 74 | .python-version 75 | 76 | # celery beat schedule file 77 | celerybeat-schedule 78 | 79 | # SageMath parsed files 80 | *.sage.py 81 | 82 | # dotenv 83 | .env 84 | 85 | # virtualenv 86 | .venv 87 | venv/ 88 | ENV/ 89 | 90 | # Spyder project settings 91 | .spyderproject 92 | .spyproject 93 | 94 | # Rope project settings 95 | .ropeproject 96 | 97 | # mkdocs documentation 98 | /site 99 | 100 | # mypy 101 | .mypy_cache/ 102 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 Fábio Perez 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PyTorch Examples 2 | 3 | This repository contains tutorials, examples, and projects implemented with PyTorch. Feel free to collaborate! 4 | 5 | ## Notebooks 6 | 7 | * [Data Augmentation for Computer Vision with PyTorch: Image Classification](notebooks/PyTorch_Data_Augmentation_Image_Classification.ipynb) 8 | * [Data Augmentation for Computer Vision with PyTorch: Image Segmentation](notebooks/PyTorch_Data_Augmentation_Image_Segmentation.ipynb) 9 | * [Inception's Dense Cropping (144-Crop)](notebooks/144-Crop.ipynb) 10 | -------------------------------------------------------------------------------- /data/classification/cats/adorable-animal-blur-617278.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fabioperez/pytorch-examples/bed5c857bddf7bb3a1d2bab6ffe479e65abe5325/data/classification/cats/adorable-animal-blur-617278.jpg -------------------------------------------------------------------------------- /data/classification/cats/adorable-animal-cat-20787.jpg: 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