full training code

Author: anshdavid

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# Manual
+.vscode
+**/*[.jpg,.jpeg,.png,.JPG,.JPEG,.PNG]
+!reports/figures/*[.jpg,.jpeg,.png,.JPG,.JPEG,.PNG]
+**/__pycache__
+
+#####
+!.gitkeep
+!.gitignore
+
+data
+logs

README.md

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 # PYTORCH GAN
 
+## Usage
 
-### work in progress
+- to run training `cli.py`
+
+    optional arguments:
+    -h, --help           show this help message and exit
+    --lr LR              learning rate, deafault 2e-4
+    --epochs EPOCHS      training epochs, default 100
+    --batchsz BATCHSZ    batch size, default 64
+    --imagesz IMAGESZ    image size, default 64
+    --imagech IMAGECH    image channel, default 3
+    --datafl DATAFL      data folder, default 'data/raw'
+    --noisedim NOISEDIM  input noise dimension, default 128
+    --disfea DISFEA      discriminator features, default 64
+    --genfea GENFEA      generator features, default 64
+    --log                logs, type_action: default true
+
+- to generate fake samples: ...
+## Report
+
+After `epochs: 20` and with `batch-size: 64`
+
++ Loss Discriminator
+
+![Loss_Discriminator](reports/figures/loss-discriminator.svg?style=center "normal xray activation map")
+
++ Loss Generator
+
+![Loss_Generator](reports/figures/loss-generator.svg?style=center "normal xray activation map")
+
++ Fake
+
+![Fake_Sample](reports/figures/sample-fake.png?style=center "normal xray activation map")
+
++ Real 
+
+![Real_Sample](reports/figures/sample-real.png?style=center "normal xray activation map")
+
+<!-- <p align="center">
+    <img width="250" height="300" src="resources/logo.png">
+</p> -->

cli.py

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+# -*- coding: utf-8 -*-
+
+import argparse
+import os.path
+
+from trainer import main as train
+
+def sanityCheck(args):
+
+    train(args=args)
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(description='commands line arguments')
+
+    parser.add_argument("--lr", type=int, default=2e-4, required=False, help="learning rate, deafault 2e-4")
+    parser.add_argument( "--epochs", type=int, default=100, required=False, help="training epochs, default 100")
+    parser.add_argument( "--batchsz", type=int, default=64, required=False, help="batch size, default 64")
+
+    parser.add_argument( "--imagesz", type=int, default=64, required=False, help="image size, default 64")
+    parser.add_argument( "--imagech", type=int, default=3, required=False, help="image channel, default 3")
+    parser.add_argument( "--datafl", type=str, default='data/raw', required=False, help="data folder, default \'data/raw\'")
+
+    parser.add_argument( "--noisedim", type=int, default=128, required=False, help="input noise dimension, default 128")
+    parser.add_argument( "--disfea", type=int, default=64, required=False, help="discriminator features, default 64")
+    parser.add_argument( "--genfea", type=int, default=64,  required=False, help="generator features, default 64")
+
+    parser.add_argument ( '--log', action = 'store_false', help="logs, default true")
+
+    args = parser.parse_args()
+
+    sanityCheck(args=args)
+
+

evaluator.py

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+Model,Size,Parameters,Depth
+Xception,88 MB,22910480,126
+VGG16,528 MB,138357544,23
+VGG19,549 MB,143667240,26
+ResNet50,98 MB,25636712,-
+ResNet101,171 MB,44707176,-
+ResNet152,232 MB,60419944,-
+ResNet50V2,98 MB,25613800,-
+ResNet101V2,171 MB,44675560,-
+ResNet152V2,232 MB,60380648,-
+InceptionV3,92 MB,23851784,159
+InceptionResNetV2,215 MB,55873736,572
+MobileNet,16 MB,4253864,88
+MobileNetV2,14 MB,3538984,88