inital commit

.gitignore

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+.DS_Store
+
+# 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
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+# Jupyter Notebook
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+
+# IPython
+profile_default/
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+
+# 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:
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+
+# 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
+
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+#   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
+
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+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
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+*.sage.py
+
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+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
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+.spyderproject
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+
+# Rope project settings
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+
+# 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/
+#
+._.DS_Store
+**/.DS_Store
+**/._.DS_Store

README.md

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+TBD

configs/train_JDEC.yaml

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+train_dataset:
+  dataset:
+    name: train-paired-imageset
+    args:
+      root_path_inp: ./load/jpeg_removal/train_paired/train
+      root_path_gt: ./load/jpeg_removal/train
+      repeat: 5
+      cache: bin
+  wrapper:
+    name: JDEC-decoder_toimage_rgb
+    args:
+      inp_size: 14
+  batch_size: 16
+
+val_dataset:
+  dataset:
+    name: valid-paired-dataset
+    args:
+      root_path_inp: ./load/jpeg_removal/train_paired/valid_10
+      root_path_gt: ./load/jpeg_removal/valid
+      repeat: 160
+      cache: bin
+      first_k: 10
+  wrapper:
+    name: JDEC-decoder_toimage_rgb
+    args:
+      inp_size: 14
+      valid: True
+  batch_size: 16
+
+
+
+model:
+  name: jdec
+  args:
+    encoder_spec:
+      name: swinv2_group_embedded
+      args:
+        use_subblock: True
+        emb_size : 256
+        num_heads: [8,8,8,8,8]
+    decoder_spec:
+      name: mlp_1dconv
+      args:
+        out_dim: 3
+        hidden_list: [512, 512, 512]
+    hidden_dim: 512
+
+optimizer:
+  name: adam
+  args:
+    lr: 1.e-4
+epoch_max: 1000
+multi_step_lr:
+  milestones: [200, 400, 600, 800]
+  gamma: 0.5
+
+epoch_val: 1
+epoch_save: 100
+
+resume: ./save/_train_JDEC/epoch-last.pth

datasets/__init__.py

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+from .datasets import register, make
+from . import wrappers_jpeg
+from . import image_folder_paired
+

datasets/datasets.py

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+import copy
+
+
+datasets = {}
+
+
+def register(name):
+    def decorator(cls):
+        datasets[name] = cls
+        return cls
+    return decorator
+
+
+def make(dataset_spec, args=None):
+    if args is not None:
+        dataset_args = copy.deepcopy(dataset_spec['args'])
+        dataset_args.update(args)
+    else:
+        dataset_args = dataset_spec['args']
+    dataset = datasets[dataset_spec['name']](**dataset_args)
+    return dataset