Initial commit

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+# Environment file
+config_api.env
+
+# 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
+
+# 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/

detection/ml_detection.py

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+from transformers import DetrImageProcessor, DetrForObjectDetection
+from transformers import YolosImageProcessor, YolosForObjectDetection
+import torch
+from PIL import Image
+import io
+
+
+# Load transformer-based model (Yolos or DETR)
+def load_model(model_uri: str):
+    """Load Transformer model"""
+    """  - Doc DETR: https://huggingface.co/docs/transformers/en/model_doc/detr"""
+    """  - Doc Yolos: https://huggingface.co/docs/transformers/en/model_doc/yolos"""
+
+    if "detr" in model_uri:
+        # you can specify the revision tag if you don't want the timm dependency
+        processor = DetrImageProcessor.from_pretrained(model_uri, revision="no_timm")
+        model = DetrForObjectDetection.from_pretrained(model_uri, revision="no_timm")
+    elif "yolos" in model_uri:
+        processor = YolosImageProcessor.from_pretrained(model_uri)
+        model = YolosForObjectDetection.from_pretrained(model_uri)
+    else:
+        processor = None
+        model = None
+    return processor, model
+
+
+def object_detection(processor, model, image_bytes):
+    """Perform object detection task"""
+
+    print('Object detection...')
+    #url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+    #image = Image.open(requests.get(url, stream=True).raw)
+
+    img = Image.open(io.BytesIO(image_bytes))
+    inputs = processor(images=img, return_tensors="pt")
+    # print('inputs', inputs)
+    outputs = model(**inputs)
+
+    # convert outputs (bounding boxes and class logits) to COCO API
+    # let's only keep detections with score > 0.9
+    target_sizes = torch.tensor([img.size[::-1]])
+    results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
+    return results

detection/ml_utils.py

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+import torch
+import json
+
+
+def convert_tensor_dict_to_json(tensor_dict):
+    """Convert a dictionary of tensors to a JSON-serializable dictionary."""
+
+    json_dict = {key: value.detach().cpu().numpy().tolist() if isinstance(value, torch.Tensor) else value
+                  for key, value in tensor_dict.items()}
+
+    # Convert to JSON string
+    # json_str = json.dumps(json_dict)
+    # print(json_str)
+
+    return json_dict
+
+

main.py

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+from detection import ml_detection, ml_utils
+import json
+from PIL import Image
+
+
+# Run detection pipeline: load ML model, perform object detection and return json object
+def detection_pipeline(model_type, image_bytes):
+    # Load correct ML model
+    detr_processor, detr_model = ml_detection.load_model(model_type)
+
+    # Perform object detection
+    results = ml_detection.object_detection(detr_processor, detr_model, image_bytes)
+
+    # Convert dictionary of tensors to JSON object
+    result_json_dict = ml_utils.convert_tensor_dict_to_json(results)
+
+    return result_json_dict
+
+
+def main():
+    print('Main function')
+
+    model_type = "facebook/detr-resnet-50"
+    image_path = './samples/boats.jpg'
+
+    # Reading image file as image_bytes (similar to API request)
+    print('Reading image file...')
+    with open(image_path, 'rb') as image_file:
+       image_bytes = image_file.read()
+
+    result_json = detection_pipeline(model_type, image_bytes)
+    print("result_json:", result_json)
+
+
+if __name__ == "__main__":
+    main()
+