Updated broken references (requirements.txt) + added Chunking/Patching

.gitignore

@@ -0,0 +1,166 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+/weights*
+/input*
+/results*
+
+# 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
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__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/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

@@ -1,3 +1,27 @@
+Adjustment to the original repository, which allows to run it on weaker cards.<br>
+Uses chunking/patching.<br>
+
+Currently, original repo installation steps will result in wrong dependencies.<br>
+So instead, install like this: `pip install --upgrade-strategy only-if-needed -r requirements.txt`
+
+Or you can download the full setup from here https://github.com/IgorAherne/Shadow_R/releases/tag/latest <br>
+This way you won't need to run any pip installs.
+
+If you need neural nets, get them from google drive of the original repo<br>
+If the drive is unaccessible, you can get them from here too [Release](https://github.com/IgorAherne/Shadow_R/releases/tag/original_weights)
+
+Launch via `python ./test.py --chunk_size 512` or `--chunk_size 256` etc<br>
+
+arguments and their default values (see test.py):<br>
+`--test_dir = ./ShadowDataset/test` where the input images are<br>
+`--input_dir = ./input/`<br>
+`--output_dir = ./output/`<br>
+`--chunk_size = 512` size of sliding window, to split the work into smaller pieces, for performance. Careful, might create seams<br>
+`--overlap = 64` overlap among the windows, to hide possible seams<br>
+
+
+Original repo description:
+
 &nbsp;
 
 <div align="center">

requirements.txt

@@ -0,0 +1,43 @@
+# Custom PyTorch index for CUDA 11.3
+--extra-index-url https://download.pytorch.org/whl/cu113
+
+# Core PyTorch ecosystem - pinned versions
+torch==1.11.0+cu113
+torchvision==0.12.0+cu113
+
+# Core dependencies with strict versions
+numpy==1.24.3           # Compatible with PyTorch 1.11
+typing-extensions==4.12.2  # Required by PyTorch
+
+# Deep Learning Framework Dependencies
+pytorch-lightning==1.9.0  # Compatible with torch 1.11
+torchmetrics==0.11.4      # Compatible with torch 1.11
+timm==1.0.11
+einops==0.8.0
+
+# Vision and Image Processing
+kornia==0.7.4
+kornia-rs==0.1.7
+Pillow==11.0.0
+opencv-python==4.10.0.84
+scikit-image==0.24.0
+
+# Scientific Computing
+scipy==1.14.1
+scikit-learn==1.5.2
+matplotlib==3.9.3
+
+# Additional Required Dependencies
+joblib==1.4.2          # For scikit-learn
+threadpoolctl==3.5.0   # For scikit-learn
+networkx==3.4.2        # For scikit-image
+tifffile==2024.9.20    # For scikit-image
+imageio==2.36.1        # For scikit-image
+PyYAML==6.0.2          # For pytorch-lightning
+fsspec==2024.10.0      # For pytorch-lightning
+packaging==24.2
+tqdm==4.67.1
+
+# Ensure proper package building
+setuptools>=63.2.0
+wheel>=0.37.0