new repo

.dvc/.gitignore

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+/config.local
+/tmp
+/cache

.dvcignore

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+# Add patterns of files dvc should ignore, which could improve
+# the performance. Learn more at
+# https://dvc.org/doc/user-guide/dvcignore

.github/workflows/main.yml

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+name: CML
+on: [push]
+jobs:
+  train-and-report:
+    runs-on: ubuntu-latest
+    container: docker://ghcr.io/iterative/cml:0-dvc2-base1
+    steps:
+      - uses: actions/checkout@v3
+      - run: |
+          pip install -r requirements.txt
+          python main.py  # create score.json
+ 
+          # Create CML report
+          cat score.json >> report.md
+          # echo '![](./plot.png "Confusion Matrix")' >> report.md
+
+        env:
+          REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+ml-environment/
+artifacts/
+data/
+LOGS/
+# 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
+
+# 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/#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
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+# ml-environment
+
+# Spyder project settings
+.spyderproject
+.spyproject
+artifacts
+
+# 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/

LICENSE

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+MIT License
+
+Copyright (c) 2023 Aman Kumar
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# End-to-End-Image-Classification-MLOPS-implementation
+
+<img src="project-image.png">
+
+
+

config/config.yaml

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+artifacts_root: artifacts
+
+data_ingestion:
+    root_dir: data
+    source_URL: https://github.com/Aman123lug/Data-storage-for-all-projects/raw/main/Chicken-fecal-images.zip
+    local_data_file: artifacts/data_ingestion/data.zip
+    unzip_dir: artifacts/data_ingestion
+
+prepare_base_model:
+    root_dir: artifacts/prepare_base_model
+    base_model_config: artifacts/prepare_base_model/base_model.h5
+    updated_base_model_config: artifacts/prepare_base_model/base_model_updated.h5
+
+
+prepare_callbacks:
+    root_dir: artifacts/prepare_callbacks
+    tensorboard_root_log_dir: artifacts/prepare_callbacks/tensorboard_root_log_dir
+    checkpoint_model_filepath: artifacts/prepare_callbacks/checkpoint_root_log_dir/model.h5
+
+
+training: 
+    root_dir: artifacts/training
+    train_model_path: artifacts/training/model.h5

dvc.yaml

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+stages:
+  data_ingestion:
+    cmd: python src/cnnClassifier/pipline/stage_01_data_ingestion.py
+    deps:
+      - src/cnnClassifier/pipline/stage_01_data_ingestion.py
+      - config/config.yaml
+    outs:
+      - data/Chicken-fecal-images
+
+  prepare_base_model:
+    cmd: python src/cnnClassifier/pipline/stage_02_prepare_base_model.py
+    deps:
+      - src/cnnClassifier/pipline/stage_02_prepare_base_model.py
+      - config/config.yaml
+
+    params:
+      - IMAGE_SIZE
+      - INCLUDE_TOP
+      - CLASSES
+      - WEIGHTS
+      - LEARNING_RATE
+
+    outs:
+      - artifacts/prepare_base_model
+
+
+  training:
+    cmd: python src/cnnClassifier/pipline/stage_03_training.py
+    deps:
+
+      - src/cnnClassifier/pipline/stage_03_training.py
+      - src/cnnClassifier/components/prepare_callbacks.py
+      - config/config.yaml
+      - data/Chicken-fecal-images
+      - artifacts/prepare_base_model
+
+    params:
+      - EPOCH
+      - BATCH_SIZE
+      - IMAGE_SIZE
+      - AUGMENTATION
+
+    outs:
+      - artifacts/training/model.h5
+
+  model_evaluation:
+    cmd: python src/cnnClassifier/pipline/stage_04_evaluation.py
+    deps:
+      - src/cnnClassifier/pipline/stage_04_evaluation.py
+      - config/config.yaml
+      - data/Chicken-fecal-images
+      - artifacts/training/model.h5
+    params:
+      - IMAGE_SIZE
+      - BATCH_SIZE
+    metrics:
+      - score.josn:
+          cache: false

main.py

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+from src.cnnClassifier.loggerr import logger
+from src.cnnClassifier.pipline.stage_01_data_ingestion import DataIngestionTrainingPipeline
+from src.cnnClassifier.pipline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline
+from src.cnnClassifier.pipline.stage_03_training import ModelTrainingPipeline
+from src.cnnClassifier.pipline.stage_04_evaluation import ModelEvaluation
+
+STAGE_NAME  = "Data Ingestion"
+try: 
+    logger.info(f" <<<< stage {STAGE_NAME} <<<< started")
+    data_ingestion = DataIngestionTrainingPipeline()
+    data_ingestion.main()
+    logger.info(f" <<<< stage {STAGE_NAME} >>>> completed !")
+
+except Exception as e:
+    # logger.exception(e)
+    raise e
+
+STAGE_NAME  = "Prepare Base Model"
+try: 
+    logger.info(f" <<<< stage {STAGE_NAME} <<<< started")
+    base_model = PrepareBaseModelTrainingPipeline()
+    base_model.main()
+    logger.info(f" <<<< stage {STAGE_NAME} >>>> completed !")
+
+except Exception as e:
+    logger.exception(e)
+    raise e
+
+
+STAGE_NAME  = "Training"
+try:
+    logger.info(f"<<<< stage {STAGE_NAME} started >>>>")
+    train = ModelTrainingPipeline()
+    train.main()
+    logger.info(f"<<<< stage {STAGE_NAME} completed >>>>")
+
+except Exception as e:
+    logger.exception(e)
+    raise e
+
+
+STAGE_NAME = "Model Evaluation"
+try:
+    logger.info(f"<<<< Stage {STAGE_NAME} started")
+    evaluate = ModelEvaluation()
+    evaluate.main()
+    logger.info(f"<<<< stage {STAGE_NAME} completed >>>>")
+
+except Exception as e:
+    logger.exception(e)
+    raise e

params.yaml

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+AUGMENTATION: True
+IMAGE_SIZE: [224, 224, 3]
+BATCH_SIZE: 16
+INCLUDE_TOP: False
+EPOCH: 1
+LEARNING_RATE: 0.01
+CLASSES: 2
+WEIGHTS: imagenet
+
+
+

requirements.txt

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+scikit-learn
+tensorflow
+dvc
+pandas
+numpy
+notebook
+matplotlib
+seaborn
+python-box==6.0.2
+pyYAML
+tqdm
+ensure==1.0.2
+joblib
+spacy
+Flask
+Flask-Cors
+
+-e .