diff --git a/.github/ISSUE_TEMPLATE/model-misclassification.md b/.github/ISSUE_TEMPLATE/model-misclassification.md index 666cc7c..7d6d588 100644 --- a/.github/ISSUE_TEMPLATE/model-misclassification.md +++ b/.github/ISSUE_TEMPLATE/model-misclassification.md @@ -18,5 +18,9 @@ Describe what actually happened. **Supporting Images** To better understand the issue, please add screenshots: -* **Results**: Include a screenshot of the interface showing the classification error or the issue as it appears in your environment. -* **Source Image**: Attach the actual picture or image used when you encountered the issue. + +* **Results**: Include a screenshot of the interface showing the classification + error or the issue as it appears in your environment. + +* **Source Image**: Attach the actual picture or image used when you + encountered the issue. diff --git a/.gitignore b/.gitignore index 51e9d59..4671d39 100644 --- a/.gitignore +++ b/.gitignore @@ -158,3 +158,11 @@ cython_debug/ # 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/ +bin/ +lib64/ +lib64 +**/*pyvenv.cfg +share/ +artifacts/ +include/ +logs/ diff --git a/examples/AzureMLSeedCls/Dockerfile b/examples/AzureMLSeedCls/Dockerfile new file mode 100644 index 0000000..89ddde6 --- /dev/null +++ b/examples/AzureMLSeedCls/Dockerfile @@ -0,0 +1,20 @@ +FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2004-cu117-py38-torch1131:biweekly.202311.2 + +# Install pip dependencies +COPY requirements.txt . +RUN pip install -r requirements.txt --no-cache-dir + +# Inference requirements +COPY --from=mcr.microsoft.com/azureml/o16n-base/python-assets:20230419.v1 /artifacts /var/ +RUN /var/requirements/install_system_requirements.sh && \ + cp /var/configuration/rsyslog.conf /etc/rsyslog.conf && \ + cp /var/configuration/nginx.conf /etc/nginx/sites-available/app && \ + ln -sf /etc/nginx/sites-available/app /etc/nginx/sites-enabled/app && \ + rm -f /etc/nginx/sites-enabled/default +ENV SVDIR=/var/runit +ENV WORKER_TIMEOUT=400 +EXPOSE 5001 8883 8888 + +# support Deepspeed launcher requirement of passwordless ssh login +RUN apt-get update +RUN apt-get install -y openssh-server openssh-client diff --git a/examples/AzureMLSeedCls/docker-compose.yaml b/examples/AzureMLSeedCls/docker-compose.yaml new file mode 100644 index 0000000..d90fbc7 --- /dev/null +++ b/examples/AzureMLSeedCls/docker-compose.yaml @@ -0,0 +1,19 @@ +--- +services: + aml-seed-cls: + build: + context: . + dockerfile: Dockerfile + # command: ["/bin/sh", "-c", "hypercorn -b :8080 app:app"] + command: bash -c 'azmlinfsrv --entry_script /app/score.py' + ports: + - "12390:5001" + - "12391:8883" + - "12392:8888" + env_file: + - .env + environment: + - PORT=8080 + - AZUREML_MODEL_DIR=/app/artifacts + volumes: + - ../AzureMLSeedCls:/app diff --git a/examples/AzureMLSeedCls/requirements.txt b/examples/AzureMLSeedCls/requirements.txt new file mode 100644 index 0000000..0149efe --- /dev/null +++ b/examples/AzureMLSeedCls/requirements.txt @@ -0,0 +1,19 @@ +azureml-core==1.54.0 +azureml-dataset-runtime==1.54.0 +azureml-defaults==1.54.0 +azure-ml==0.0.1 +azure-ml-component==0.9.18.post2 +azureml-mlflow==1.54.0 +azureml-contrib-services==1.54.0 +azureml-contrib-services==1.54.0 +azureml-automl-common-tools==1.54.0 +torch-tb-profiler~=0.4.0 +azureml-inference-server-http~=0.8.0 +inference-schema~=1.5.0 +MarkupSafe==2.1.2 +regex +pybind11 +urllib3>=1.26.18 +cryptography>=41.0.4 +aiohttp>=3.8.5 +transformers==4.35.0 diff --git a/examples/AzureMLSeedCls/score.py b/examples/AzureMLSeedCls/score.py new file mode 100644 index 0000000..b9ba669 --- /dev/null +++ b/examples/AzureMLSeedCls/score.py @@ -0,0 +1,43 @@ +import logging +from transformers import pipeline +# import request + + +def init(): + """ + This function is called when the container is initialized/started, typically after create/update of the deployment. + You can write the logic here to perform init operations like caching the model in memory + """ + global model + # AZUREML_MODEL_DIR is an environment variable created during deployment. + # It is the path to the model folder (./azureml-models/$MODEL_NAME/$VERSION) + # Please provide your model's folder name if there is one + # print(os.listdir(os.getenv("AZUREML_MODEL_DIR")),'DIR PATHHHHHHHHHH LISTTTTTTTTT','\n\n\n') + # model_path = os.path.join( + # os.getenv("AZUREML_MODEL_DIR"),'checkpoint-1500' + # ) + # print(os.listdir("/app/artifacts/"), "\n\n\n") + model_path = "/app/artifacts/" + # deserialize the model file back into a sklearn model + # model = joblib.load(model_path) + # model = SwinForImageClassification.from_pretrained(pth) + model = pipeline(model=model_path, task="image-classification") + logging.info("Init complete") + + +def run(raw_data): + """ + This function is called for every invocation of the endpoint to perform the actual scoring/prediction. + In the example we extract the data from the json input and call the scikit-learn model's predict() + method and return the result back + """ + # print(raw_data,'RAWWW DATAAAAA','\n\n\n') + # model.eval() + # image = Image.open(raw_data) + + logging.info("model 1: request received") + # data = json.loads(raw_data)["data"] + # data = numpy.array(data) + results = model(raw_data) + logging.info("Request processed") + return results diff --git a/examples/AzureMLSeedDet/Dockerfile b/examples/AzureMLSeedDet/Dockerfile new file mode 100644 index 0000000..eff211e --- /dev/null +++ b/examples/AzureMLSeedDet/Dockerfile @@ -0,0 +1,24 @@ +FROM mcr.microsoft.com/azureml/curated/azureml-automl-dnn-vision-gpu:131 + +WORKDIR /app + +# ENV QUART_APP=app.py +# ENV QUART_ENV=development +# ENV PYTHONUNBUFFERED True +# ENV PYTHONPATH=/app + +COPY ./requirements.txt . +COPY ./req.txt . +COPY conda_env_v_1_0_0.yml . +# COPY scoring_file_v_1_0_0.py . +# COPY model.pt . + +# RUN pip3 install torch==1.12.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu +RUN pip3 install --no-cache-dir -r requirements.txt +# RUN pip3 install --no-cache-dir -r req.txt +RUN conda env update -f conda_env_v_1_0_0.yml + +COPY . ./ + +# CMD hypercorn -b :$PORT app:app +CMD ls && /bin/bash diff --git a/examples/AzureMLSeedDet/conda_env_v_1_0_0.yml b/examples/AzureMLSeedDet/conda_env_v_1_0_0.yml new file mode 100644 index 0000000..ce2fe30 --- /dev/null +++ b/examples/AzureMLSeedDet/conda_env_v_1_0_0.yml @@ -0,0 +1,309 @@ +--- +# Conda environment specification. The dependencies defined in this file will +# be automatically provisioned for runs with userManagedDependencies=False. + +# Details about the Conda environment file format: +# https://conda.io/docs/user-guide/tasks/manage-environments.html#create-env-file-manually + +name: project_environment +dependencies: + # The python interpreter version. + # Currently Azure ML only supports 3.8 and later. +- python=3.8.10 + +- pip: + - adal==1.2.7 + - anyio==4.2.0 + - applicationinsights==0.11.10 + - arch==5.3.1 + - argcomplete==3.2.1 + - asttokens==2.4.1 + - attrs==23.1.0 + - azure-common==1.1.28 + - azure-core==1.29.6 + - azure-graphrbac==0.61.1 + - azure-identity==1.15.0 + - azure-mgmt-authorization==4.0.0 + - azure-mgmt-containerregistry==10.3.0 + - azure-mgmt-core==1.4.0 + - azure-mgmt-keyvault==10.3.0 + - azure-mgmt-network==25.1.0 + - azure-mgmt-resource==23.0.1 + - azure-mgmt-storage==21.1.0 + - azure-storage-blob==12.19.0 + - azure-storage-queue==12.9.0 + - azureml-automl-core==1.54.0 + - azureml-automl-dnn-vision==1.54.0.post1 + - azureml-automl-runtime==1.54.0 + - azureml-core==1.54.0.post1 + - azureml-dataprep==4.12.8 + - azureml-dataprep-native==38.0.0 + - azureml-dataprep-rslex==2.19.6 + - azureml-dataset-runtime==1.54.0.post1 + - azureml-defaults==1.54.0 + - azureml-inference-server-http==0.8.4.2 + - azureml-interpret==1.54.0 + - azureml-mlflow==1.54.0.post1 + - azureml-responsibleai==1.54.0 + - azureml-telemetry==1.54.0 + - azureml-train-automl-client==1.54.0.post1 + - azureml-train-automl-runtime==1.54.0.post1 + - azureml-train-core==1.54.0 + - azureml-train-restclients-hyperdrive==1.54.0 + - azureml-training-tabular==1.54.0 + - backcall==0.2.0 + - backports-tempfile==1.0 + - backports-weakref==1.0.post1 + - bcrypt==4.1.2 + - bokeh==2.4.3 + - boto==2.49.0 + - cachetools==5.3.2 + - captum==0.5.0 + - cffi==1.16.0 + - colorcet==3.0.1 + - coloredlogs==15.0.1 + - contextlib2==21.6.0 + - cryptography==41.0.7 + - dask==2023.2.0 + - databricks-cli==0.18.0 + - dataclasses==0.6 + - debugpy==1.8.0 + - decorator==5.1.1 + - dice-ml==0.9 + - dill==0.3.7 + - distributed==2023.2.0 + - distro==1.8.0 + - docker==6.1.3 + - dotnetcore2==3.1.23 + - econml==0.14.1 + - entrypoints==0.4 + - erroranalysis==0.5.2 + - exceptiongroup==1.2.0 + - executing==2.0.1 + - fairlearn==0.7.0 + - fire==0.5.0 + - flask==2.2.5 + - flask-cors==3.0.10 + - flatbuffers==23.5.26 + - fsspec==2023.12.2 + - fusepy==3.0.1 + - fvcore==0.1.5.post20221221 + - gensim==3.8.3 + - gitdb==4.0.11 + - gitpython==3.1.40 + - google-api-core==2.15.0 + - google-auth==2.25.2 + - googleapis-common-protos==1.62.0 + - gunicorn==20.1.0 + - h5py==3.10.0 + - humanfriendly==10.0 + - imageio==2.33.1 + - importlib-metadata==7.0.0 + - inference-schema==1.7 + - interpret-community==0.30.0 + - interpret-core==0.4.3 + - iopath==0.1.10 + - ipykernel==6.8.0 + - ipython==8.12.3 + - isodate==0.6.1 + - itsdangerous==2.1.2 + - jedi==0.19.1 + - jeepney==0.8.0 + - jinja2==3.1.2 + - jmespath==0.10.0 + - jsonpickle==3.0.2 + - jsonschema==4.20.0 + - jsonschema-specifications==2023.11.2 + - jupyter-client==7.4.9 + - jupyter-core==5.5.1 + - keras2onnx==1.6.0 + - knack==0.11.0 + - lightgbm==3.2.1 + - locket==1.0.0 + - markupsafe==2.1.2 + - matplotlib==3.6.3 + - matplotlib-inline==0.1.6 + - ml-wrappers==0.5.3 + - mlflow-skinny==2.9.2 + - mpmath==1.3.0 + - msal==1.26.0 + - msal-extensions==1.0.0 + - msgpack==1.0.7 + - msrest==0.7.1 + - msrestazure==0.6.4 + - munch==4.0.0 + - ndg-httpsclient==0.5.1 + - nest-asyncio==1.5.8 + - networkx==2.5 + - nose==1.3.7 + - numba==0.53.1 + - nvidia-cublas-cu11==11.10.3.66 + - nvidia-cuda-nvrtc-cu11==11.7.99 + - nvidia-cuda-runtime-cu11==11.7.99 + - nvidia-cudnn-cu11==8.5.0.96 + - oauthlib==3.2.2 + - onnx==1.14.1 + - onnxconverter-common==1.13.0 + - onnxmltools==1.11.2 + - onnxruntime==1.14.1 + - opencensus==0.11.3 + - opencensus-context==0.1.3 + - opencensus-ext-azure==1.1.12 + - opencv-python-headless==4.3.0.38 + - param==2.0.1 + - paramiko==3.4.0 + - parso==0.8.3 + - partd==1.4.1 + - pathspec==0.12.1 + - patsy==0.5.4 + - pexpect==4.9.0 + - pickleshare==0.7.5 + - pillow==10.0.1 + - pkginfo==1.9.6 + - pkgutil-resolve-name==1.3.10 + - pmdarima==1.8.5 + - portalocker==2.8.2 + - pretrainedmodels==0.7.4 + - prompt-toolkit==3.0.43 + - property-cached==1.6.4 + - protobuf==3.20.3 + - ptyprocess==0.7.0 + - pure-eval==0.2.2 + - pyarrow==11.0.0 + - pyarrow-hotfix==0.6 + - pyasn1==0.5.1 + - pyasn1-modules==0.3.0 + - pycparser==2.21 + - pyct==0.5.0 + - pydantic==1.10.13 + - pygments==2.17.2 + - pyjwt==2.8.0 + - pynacl==1.5.0 + - pynvml==8.0.4 + - pyopenssl==23.3.0 + - pytorch-ignite==0.4.13 + - pywavelets==1.4.1 + - pyyaml==6.0.1 + - pyzmq==25.1.2 + - raiutils==0.4.1 + - referencing==0.32.0 + - requests-oauthlib==1.3.1 + - resnest==0.0.6b20210504 + - responsibleai==0.28.0 + - rpds-py==0.15.2 + - rsa==4.9 + - s3transfer==0.5.2 + - saliency==0.1.3 + - scikit-image==0.19.3 + - secretstorage==3.3.3 + - semver==2.13.0 + - simplification==0.5.7 + - skl2onnx==1.14.1 + - sklearn-pandas==1.7.0 + - smart-open==1.9.0 + - smmap==5.0.1 + - sniffio==1.3.0 + - sortedcontainers==2.4.0 + - sparse==0.14.0 + - sqlparse==0.4.4 + - stack-data==0.6.3 + - statsmodels==0.13.5 + - sympy==1.12 + - tabulate==0.9.0 + - tbb==2020.3.254 + - tblib==3.0.0 + - termcolor==2.4.0 + - tifffile==2023.7.10 + - timm==0.4.12 + - toolz==0.12.0 + - torch==1.13.1 + - torchvision==0.14.1 + - tornado==6.4 + - traitlets==5.14.0 + - typing-extensions==4.9.0 + - urllib3==1.26.18 + - wcwidth==0.2.12 + - websocket-client==1.7.0 + - werkzeug==3.0.1 + - wrapt==1.12.1 + - yacs==0.1.8 + - zict==3.0.0 +- boto3=1.20.19 +- botocore=1.23.19 +- brotli=1.1.0 +- brotli-bin=1.1.0 +- brotli-python=1.1.0 +- ca-certificates=2023.11.17 +- certifi=2023.11.17 +- charset-normalizer=3.3.2 +- cloudpickle=2.2.1 +- colorama=0.4.6 +- contourpy=1.1.1 +- cycler=0.12.1 +- cython=3.0.6 +- fonttools=4.47.0 +- freetype=2.12.1 +- idna=3.6 +- importlib-resources=6.1.1 +- importlib_resources=6.1.1 +- joblib=1.2.0 +- kiwisolver=1.4.5 +- lcms2=2.16 +- lerc=4.0.0 +- libblas=3.9.0 +- libbrotlicommon=1.1.0 +- libbrotlidec=1.1.0 +- libbrotlienc=1.1.0 +- libcblas=3.9.0 +- libdeflate=1.19 +- libffi=3.3 +- libgfortran-ng=13.2.0 +- libgfortran5=13.2.0 +- libjpeg-turbo=3.0.0 +- liblapack=3.9.0 +- libllvm10=10.0.1 +- libopenblas=0.3.25 +- libpng=1.6.39 +- libsqlite=3.44.2 +- libtiff=4.6.0 +- libwebp-base=1.3.2 +- libxcb=1.15 +- libzlib=1.2.13 +- llvmlite=0.36.0 +- munkres=1.1.4 +- numpy=1.22.4 +- openjpeg=2.5.0 +- packaging=23.2 +- pandas=1.3.5 +- pip=21.3.1 +- platformdirs=4.1.0 +- pooch=1.8.0 +- psutil=5.8.0 +- pthread-stubs=0.4 +- pycocotools=2.0.6 +- pyparsing=3.1.1 +- pysocks=1.7.1 +- python-dateutil=2.8.2 +- python-tzdata=2023.3 +- python_abi=3.8 +- pytz=2023.3.post1 +- recordclass=0.14.3 +- requests=2.31.0 +- scikit-learn=1.0.2 +- scipy=1.10.1 +- setuptools=65.5.1 +- six=1.16.0 +- slicer=0.0.7 +- threadpoolctl=3.2.0 +- tqdm=4.66.1 +- unicodedata2=15.1.0 +- wheel=0.38.1 +- xorg-libxau=1.0.11 +- xorg-libxdmcp=1.1.3 +- zipp=3.17.0 +- zstd=1.5.5 +channels: +- anaconda +- conda-forge +- cerebis +- pytorch diff --git a/examples/AzureMLSeedDet/docker-compose.yaml b/examples/AzureMLSeedDet/docker-compose.yaml new file mode 100644 index 0000000..f62c564 --- /dev/null +++ b/examples/AzureMLSeedDet/docker-compose.yaml @@ -0,0 +1,18 @@ +--- +services: + aml-seed-det: + build: + context: . + dockerfile: Dockerfile + # command: ["/bin/sh", "-c", "hypercorn -b :8080 app:app"] + command: bash -c 'azmlinfsrv --entry_script /app/scoring_file_v_1_0_0.py' + ports: + - "12380:5001" + - "12381:8883" + - "12382:8888" + env_file: + - .env + environment: + - PORT=8080 + volumes: + - ../AzureMLSeedDet:/app diff --git a/examples/AzureMLSeedDet/req.txt b/examples/AzureMLSeedDet/req.txt new file mode 100644 index 0000000..9997107 --- /dev/null +++ b/examples/AzureMLSeedDet/req.txt @@ -0,0 +1,291 @@ +adal==1.2.7 +anyio==4.2.0 +applicationinsights==0.11.10 +arch==5.3.1 +argcomplete==3.2.1 +asttokens==2.4.1 +attrs==23.1.0 +azure-common==1.1.28 +azure-core==1.29.6 +azure-graphrbac==0.61.1 +azure-identity==1.15.0 +azure-mgmt-authorization==4.0.0 +azure-mgmt-containerregistry==10.3.0 +azure-mgmt-core==1.4.0 +azure-mgmt-keyvault==10.3.0 +azure-mgmt-network==25.1.0 +azure-mgmt-resource==23.0.1 +azure-mgmt-storage==21.1.0 +azure-storage-blob==12.19.0 +azure-storage-queue +azureml-automl-core +azureml-automl-dnn-vision==1.58.0 +azureml-automl-runtime==1.58.0 +azureml-core==1.58.0 +azureml-dataprep==4.12.8 +azureml-dataprep-native==38.0.0 +azureml-dataprep-rslex==2.19.6 +azureml-dataset-runtime==1.58.0 +azureml-defaults==1.58.0 +azureml-inference-server-http==0.8.4.2 +azureml-interpret==1.58.0 +azureml-mlflow==1.58.0 +azureml-responsibleai==1.58.0 +azureml-telemetry==1.58.0 +azureml-train-automl-client==1.58.0 +azureml-train-automl-runtime==1.58.0 +azureml-train-core==1.58.0 +azureml-train-restclients-hyperdrive==1.58.0 +azureml-training-tabular==1.58.0 +backcall==0.2.0 +backports-tempfile==1.0 +backports-weakref==1.0.post1 +bcrypt==4.1.2 +bokeh==2.4.3 +boto==2.49.0 +cachetools==5.3.2 +captum==0.5.0 +cffi==1.16.0 +colorcet==3.0.1 +coloredlogs==15.0.1 +contextlib2==21.6.0 +cryptography==41.0.7 +dask==2023.2.0 +databricks-cli==0.18.0 +dataclasses==0.6 +debugpy==1.8.0 +decorator==5.1.1 +dice-ml==0.9 +dill==0.3.7 +distributed==2023.2.0 +distro==1.8.0 +docker==6.1.3 +dotnetcore2==3.1.23 +econml==0.14.1 +entrypoints==0.4 +erroranalysis==0.5.2 +exceptiongroup==1.2.0 +executing==2.0.1 +fairlearn==0.7.0 +fire==0.5.0 +flask==2.2.5 +flask-cors==3.0.10 +flatbuffers==23.5.26 +fsspec==2023.12.2 +fusepy==3.0.1 +fvcore==0.1.5.post20221221 +gensim==3.8.3 +gitdb==4.0.11 +gitpython==3.1.40 +google-api-core==2.15.0 +google-auth==2.25.2 +googleapis-common-protos==1.62.0 +gunicorn==20.1.0 +h5py==3.10.0 +humanfriendly==10.0 +imageio==2.33.1 +importlib-metadata==7.0.0 +inference-schema==1.7 +interpret-community==0.30.0 +interpret-core==0.4.3 +iopath==0.1.10 +ipykernel==6.8.0 +ipython==8.12.3 +isodate==0.6.1 +itsdangerous==2.1.2 +jedi==0.19.1 +jeepney==0.8.0 +jinja2==3.1.2 +jmespath==0.10.0 +jsonpickle==3.0.2 +jsonschema==4.20.0 +jsonschema-specifications==2023.11.2 +jupyter-client==7.4.9 +jupyter-core==5.5.1 +keras2onnx==1.6.0 +knack==0.11.0 +lightgbm==3.2.1 +locket==1.0.0 +markupsafe==2.1.2 +matplotlib==3.6.3 +matplotlib-inline==0.1.6 +ml-wrappers==0.5.3 +mlflow-skinny==2.9.2 +mpmath==1.3.0 +msal==1.26.0 +msal-extensions==1.0.0 +msgpack==1.0.7 +msrest==0.7.1 +msrestazure==0.6.4 +munch==4.0.0 +ndg-httpsclient==0.5.1 +nest-asyncio==1.5.8 +networkx==2.5 +nose==1.3.7 +numba==0.53.1 +nvidia-cublas-cu11==11.10.3.66 +nvidia-cuda-nvrtc-cu11==11.7.99 +nvidia-cuda-runtime-cu11==11.7.99 +nvidia-cudnn-cu11==8.5.0.96 +oauthlib==3.2.2 +onnx==1.16.1 +onnxconverter-common==1.13.0 +onnxmltools==1.11.2 +onnxruntime==1.17.3 +opencensus==0.11.3 +opencensus-context==0.1.3 +opencensus-ext-azure==1.1.12 +opencv-python-headless==4.8.1.78 +param==2.0.1 +paramiko==3.4.0 +parso==0.8.3 +partd==1.4.1 +pathspec==0.12.1 +patsy==0.5.4 +pexpect==4.9.0 +pickleshare==0.7.5 +pillow==10.3.0 +pkginfo==1.9.6 +pkgutil-resolve-name==1.3.10 +pmdarima==1.8.5 +portalocker==2.8.2 +pretrainedmodels==0.7.4 +prompt-toolkit==3.0.43 +property-cached==1.6.4 +protobuf==3.20.3 +ptyprocess==0.7.0 +pure-eval==0.2.2 +pyarrow==11.0.0 +pyarrow-hotfix==0.6 +pyasn1==0.5.1 +pyasn1-modules==0.3.0 +pycparser==2.21 +pyct==0.5.0 +pydantic==1.10.13 +pygments==2.17.2 +pyjwt==2.8.0 +pynacl==1.5.0 +pynvml==8.0.4 +pyopenssl==23.3.0 +pytorch-ignite==0.4.13 +pywavelets==1.4.1 +pyyaml==6.0.1 +pyzmq==25.1.2 +raiutils==0.4.1 +referencing==0.32.0 +requests-oauthlib==1.3.1 +resnest==0.0.6b20210504 +responsibleai==0.28.0 +rpds-py==0.15.2 +rsa==4.9 +s3transfer==0.5.2 +saliency==0.1.3 +scikit-image==0.19.3 +scikit-learn~=1.5.1 +secretstorage==3.3.3 +semver==2.13.0 +simplification==0.5.10 +skl2onnx==1.15.0 +sklearn-pandas==1.7.0 +smart-open==1.9.0 +smmap==5.0.1 +sniffio==1.3.0 +sortedcontainers==2.4.0 +sparse==0.14.0 +sqlparse==0.4.4 +stack-data==0.6.3 +statsmodels==0.13.5 +sympy==1.12 +tabulate==0.9.0 +tbb==2020.3.254 +tblib==3.0.0 +termcolor==2.4.0 +tifffile==2023.7.10 +timm==0.4.12 +toolz==0.12.0 +torch==2.2.2 +torchvision==0.17.2 +tornado==6.4 +traitlets==5.14.0 +typing-extensions==4.9.0 +urllib3==1.26.18 +wcwidth==0.2.12 +websocket-client==1.7.0 +werkzeug==3.0.1 +wrapt==1.12.1 +yacs==0.1.8 +zict==3.0.0 +boto3==1.20.19 +botocore==1.23.19 +brotli==1.1.0 +# brotli-bin +# brotli-python==1.1.0 +# ca-certificates=2023.11.17 +# certifi=2023.11.17 +# charset-normalizer=3.3.2 +# cloudpickle=2.2.1 +# colorama=0.4.6 +# contourpy=1.1.1 +# cycler=0.12.1 +# cython=3.0.6 +# fonttools=4.47.0 +# freetype=2.12.1 +# idna=3.6 +# importlib-resources=6.1.1 +# importlib_resources=6.1.1 +# joblib=1.2.0 +# kiwisolver=1.4.5 +# lcms2=2.16 +# lerc=4.0.0 +# libblas=3.9.0 +# libbrotlicommon=1.1.0 +# libbrotlidec=1.1.0 +# libbrotlienc=1.1.0 +# libcblas=3.9.0 +# libdeflate=1.19 +# libffi=3.3 +# libgfortran-ng=13.2.0 +# libgfortran5=13.2.0 +# libjpeg-turbo=3.0.0 +# liblapack=3.9.0 +# libllvm10=10.0.1 +# libopenblas=0.3.25 +# libpng=1.6.39 +# libsqlite=3.44.2 +# libtiff=4.6.0 +# libwebp-base=1.3.2 +# libxcb=1.15 +# libzlib=1.2.13 +# llvmlite=0.36.0 +# munkres=1.1.4 +# numpy=1.22.4 +# openjpeg=2.5.0 +# packaging=23.2 +# pandas=1.3.5 +# pip=21.3.1 +# platformdirs=4.1.0 +# pooch=1.8.0 +# psutil=5.8.0 +# pthread-stubs=0.4 +# pycocotools=2.0.6 +# pyparsing=3.1.1 +# pysocks=1.7.1 +# python-dateutil=2.8.2 +# python-tzdata=2023.3 +# python_abi=3.8 +# pytz=2023.3.post1 +# recordclass=0.14.3 +# requests=2.31.0 +# scikit-learn=1.0.2 +# scipy=1.10.1 +# setuptools=65.5.1 +# six=1.16.0 +# slicer=0.0.7 +# threadpoolctl=3.2.0 +# tqdm=4.66.1 +# unicodedata2=15.1.0 +# wheel=0.38.1 +# xorg-libxau=1.0.11 +# xorg-libxdmcp=1.1.3 +# zipp=3.17.0 +# zstd=1.5.5 diff --git a/examples/AzureMLSeedDet/requirements.txt b/examples/AzureMLSeedDet/requirements.txt new file mode 100644 index 0000000..3bc8e14 --- /dev/null +++ b/examples/AzureMLSeedDet/requirements.txt @@ -0,0 +1 @@ +azureml-inference-server-http diff --git a/examples/AzureMLSeedDet/score_fix_js.py b/examples/AzureMLSeedDet/score_fix_js.py new file mode 100644 index 0000000..343fb4b --- /dev/null +++ b/examples/AzureMLSeedDet/score_fix_js.py @@ -0,0 +1,77 @@ +# --------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# --------------------------------------------------------- +import os +import json + +from azureml.automl.core.shared import logging_utilities +from azureml.automl.dnn.vision.object_detection.writers.score import _score_with_model +from azureml.automl.dnn.vision.common.logging_utils import get_logger +from azureml.automl.dnn.vision.common.model_export_utils import ( + load_model, + run_inference_helper, +) +from azureml.automl.dnn.vision.common.utils import _set_logging_parameters +from azureml.contrib.services.aml_request import rawhttp +from azureml.contrib.services.aml_response import AMLResponse +from azureml.core.model import Model + +TASK_TYPE = "image-object-detection" +logger = get_logger("azureml.automl.core.scoring_script_images") + + +def init(): + global model + + # Set up logging + _set_logging_parameters(TASK_TYPE, {}) + + # print contents of azure model dir + + model_path = os.path.join( + os.getenv("AZUREML_MODEL_DIR"), "Seed_Detector_RCNN", "model.pt" + ) + + if not os.path.exists(model_path): + model_path = Model.get_model_path(model_name="Seed_Detector_RCNN") + raise FileNotFoundError("Model not found at path: {}".format(model_path)) + + try: + logger.info("Loading model from path: {}.".format(model_path)) + model_settings = { + "min_size": 600, + "max_size": 1333, + "box_score_thresh": 0.3, + "nms_iou_thresh": 0.5, + "box_detections_per_img": 100, + "tile_grid_size": None, + "tile_overlap_ratio": 0.25, + "tile_predictions_nms_thresh": 0.25, + } + model = load_model(TASK_TYPE, model_path, **model_settings) + logger.info("Loading successful.") + except Exception as e: + logging_utilities.log_traceback(e, logger) + raise + + +@rawhttp +def run(request): + logger.info("Request: [{0}]".format(request)) + # print("Request: [{0}]".format(request)) + if request.method == "GET": + response_body = str.encode(request.full_path) + return AMLResponse(response_body, 200) + + elif request.method == "POST": + data = {} + # request_body = request.get_data() + logger.info("Running inference.") + data["image"] = request.get_json()["input_data"]["data"][0] + result = run_inference_helper( + model, json.dumps(data), _score_with_model, TASK_TYPE + ) + logger.info("Finished inferencing.") + return AMLResponse(result, 200) + else: + return AMLResponse("bad request", 500) diff --git a/examples/AzureMLSeedDet/scoring_file_v_1_0_0.py b/examples/AzureMLSeedDet/scoring_file_v_1_0_0.py new file mode 100644 index 0000000..339292f --- /dev/null +++ b/examples/AzureMLSeedDet/scoring_file_v_1_0_0.py @@ -0,0 +1,78 @@ +# --------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# --------------------------------------------------------- +import os +import json + +from azureml.automl.core.shared import logging_utilities +from azureml.automl.dnn.vision.object_detection.writers.score import _score_with_model +from azureml.automl.dnn.vision.common.logging_utils import get_logger +from azureml.automl.dnn.vision.common.model_export_utils import ( + load_model, + run_inference_helper, +) +from azureml.automl.dnn.vision.common.utils import _set_logging_parameters +from azureml.contrib.services.aml_request import rawhttp +from azureml.contrib.services.aml_response import AMLResponse +from azureml.core.model import Model + +TASK_TYPE = "image-object-detection" +logger = get_logger("azureml.automl.core.scoring_script_images") + + +def init(): + global model + + # Set up logging + _set_logging_parameters(TASK_TYPE, {}) + + # print contents of azure model dir + + model_path = "/app/artifacts/model.pt" + # model_path = os.path.join( + # os.getenv("AZUREML_MODEL_DIR"),'Seed_Detector_RCNN', 'model.pt' + # ) + # model_path = os.path.join(os.getenv('AZUREML_MODEL_DIR'), 'model.pt') + if not os.path.exists(model_path): + model_path = Model.get_model_path(model_name="Seed_Detector_RCNN") + raise FileNotFoundError("Model not found at path: {}".format(model_path)) + + try: + logger.info("Loading model from path: {}.".format(model_path)) + model_settings = { + "min_size": 600, + "max_size": 1333, + "box_score_thresh": 0.3, + "nms_iou_thresh": 0.5, + "box_detections_per_img": 100, + "tile_grid_size": None, + "tile_overlap_ratio": 0.25, + "tile_predictions_nms_thresh": 0.25, + } + model = load_model(TASK_TYPE, model_path, **model_settings) + logger.info("Loading successful.") + except Exception as e: + logging_utilities.log_traceback(e, logger) + raise + + +@rawhttp +def run(request): + logger.info("Request: [{0}]".format(request)) + # print("Request: [{0}]".format(request)) + if request.method == "GET": + response_body = str.encode(request.full_path) + return AMLResponse(response_body, 200) + + elif request.method == "POST": + data = {} + # request_body = request.get_data() + logger.info("Running inference.") + data["image"] = request.get_json()["input_data"]["data"][0] + result = run_inference_helper( + model, json.dumps(data), _score_with_model, TASK_TYPE + ) + logger.info("Finished inferencing.") + return AMLResponse(result, 200) + else: + return AMLResponse("bad request", 500) diff --git a/examples/Flask/Dockerfile b/examples/Flask/Dockerfile new file mode 100644 index 0000000..f6bd579 --- /dev/null +++ b/examples/Flask/Dockerfile @@ -0,0 +1,19 @@ +FROM python:3.11-bullseye + +WORKDIR /app + +# ENV QUART_APP=app.py +# ENV QUART_ENV=development +# ENV PYTHONUNBUFFERED True +# ENV PYTHONPATH=/app + +COPY ./requirements.txt . + +RUN pip3 install torch==2.2.0+cpu torchvision --index-url https://download.pytorch.org/whl/cpu +RUN pip3 install --no-cache-dir -r requirements.txt + +COPY . ./ + +# CMD hypercorn -b :$PORT app:app +# EXPOSE 5000 +# RUN FLASK_APP=app.py flask run diff --git a/examples/Flask/app.py b/examples/Flask/app.py new file mode 100644 index 0000000..33dc20c --- /dev/null +++ b/examples/Flask/app.py @@ -0,0 +1,82 @@ +import json +import os + +import torchvision.models as models +import torchvision.transforms as transforms +from PIL import Image +from flask import Flask, jsonify, request + + +app = Flask(__name__) +model = models.densenet121(pretrained=True) # Trained on 1000 classes from ImageNet +model.eval() # Turns off autograd + + +img_class_map = None +mapping_file_path = "index_to_name.json" # Human-readable names for Imagenet classes +if os.path.isfile(mapping_file_path): + with open(mapping_file_path) as f: + img_class_map = json.load(f) + + +# Transform input into the form our model expects +def transform_image(infile): + input_transforms = [ + transforms.Resize( + 255 + ), # We use multiple TorchVision transforms to ready the image + transforms.CenterCrop(224), + transforms.ToTensor(), + transforms.Normalize( + [0.485, 0.456, 0.406], # Standard normalization for ImageNet model input + [0.229, 0.224, 0.225], + ), + ] + my_transforms = transforms.Compose(input_transforms) + image = Image.open(infile) # Open the image file + timg = my_transforms( + image + ) # Transform PIL image to appropriately-shaped PyTorch tensor + timg.unsqueeze_(0) # PyTorch models expect batched input; create a batch of 1 + return timg + + +# Get a prediction +def get_prediction(input_tensor): + outputs = model.forward(input_tensor) # Get likelihoods for all ImageNet classes + _, y_hat = outputs.max(1) # Extract the most likely class + prediction = y_hat.item() # Extract the int value from the PyTorch tensor + return prediction + + +# Make the prediction human-readable +def render_prediction(prediction_idx): + stridx = str(prediction_idx) + class_name = "Unknown" + if img_class_map is not None: + if stridx in img_class_map is not None: + class_name = img_class_map[stridx][1] + + return prediction_idx, class_name + + +@app.route("/", methods=["GET"]) +def root(): + return jsonify( + {"msg": "Try POSTing to the /predict endpoint with an RGB image attachment"} + ) + + +@app.route("/predict", methods=["POST"]) +def predict(): + if request.method == "POST": + file = request.files["file"] + if file is not None: + input_tensor = transform_image(file) + prediction_idx = get_prediction(input_tensor) + class_id, class_name = render_prediction(prediction_idx) + return jsonify({"class_id": class_id, "class_name": class_name}) + + +if __name__ == "__main__": + app.run() diff --git a/examples/Flask/docker-compose.yaml b/examples/Flask/docker-compose.yaml new file mode 100644 index 0000000..607ab06 --- /dev/null +++ b/examples/Flask/docker-compose.yaml @@ -0,0 +1,11 @@ +--- +services: + flask-torch: + build: + context: . + dockerfile: Dockerfile + command: bash -c 'FLASK_APP=app.py flask run --host=0.0.0.0' + ports: + - "17500:5000" + env_file: + - .env diff --git a/examples/Flask/index_to_name.json b/examples/Flask/index_to_name.json new file mode 100644 index 0000000..2ebd296 --- /dev/null +++ b/examples/Flask/index_to_name.json @@ -0,0 +1 @@ +{"0": ["n01440764", "tench"], "1": ["n01443537", "goldfish"], "2": ["n01484850", "great_white_shark"], "3": ["n01491361", "tiger_shark"], "4": ["n01494475", "hammerhead"], "5": ["n01496331", "electric_ray"], "6": ["n01498041", "stingray"], "7": ["n01514668", "cock"], "8": ["n01514859", "hen"], "9": ["n01518878", "ostrich"], "10": ["n01530575", "brambling"], "11": ["n01531178", "goldfinch"], "12": ["n01532829", "house_finch"], "13": ["n01534433", "junco"], "14": ["n01537544", "indigo_bunting"], "15": ["n01558993", "robin"], "16": ["n01560419", "bulbul"], "17": ["n01580077", "jay"], "18": ["n01582220", "magpie"], "19": ["n01592084", "chickadee"], "20": ["n01601694", "water_ouzel"], "21": ["n01608432", "kite"], "22": ["n01614925", "bald_eagle"], "23": ["n01616318", "vulture"], "24": ["n01622779", "great_grey_owl"], "25": ["n01629819", "European_fire_salamander"], "26": ["n01630670", "common_newt"], "27": ["n01631663", "eft"], "28": ["n01632458", "spotted_salamander"], "29": ["n01632777", "axolotl"], "30": ["n01641577", "bullfrog"], "31": ["n01644373", "tree_frog"], "32": ["n01644900", "tailed_frog"], "33": ["n01664065", "loggerhead"], "34": ["n01665541", "leatherback_turtle"], "35": ["n01667114", "mud_turtle"], "36": ["n01667778", "terrapin"], "37": ["n01669191", "box_turtle"], "38": ["n01675722", "banded_gecko"], "39": ["n01677366", "common_iguana"], "40": ["n01682714", "American_chameleon"], "41": ["n01685808", "whiptail"], "42": ["n01687978", "agama"], "43": ["n01688243", "frilled_lizard"], "44": ["n01689811", "alligator_lizard"], "45": ["n01692333", "Gila_monster"], "46": ["n01693334", "green_lizard"], "47": ["n01694178", "African_chameleon"], "48": ["n01695060", "Komodo_dragon"], "49": ["n01697457", "African_crocodile"], "50": ["n01698640", "American_alligator"], "51": ["n01704323", "triceratops"], "52": ["n01728572", "thunder_snake"], "53": ["n01728920", "ringneck_snake"], "54": ["n01729322", "hognose_snake"], "55": ["n01729977", "green_snake"], "56": ["n01734418", "king_snake"], "57": ["n01735189", "garter_snake"], "58": ["n01737021", "water_snake"], "59": ["n01739381", "vine_snake"], "60": ["n01740131", "night_snake"], "61": ["n01742172", "boa_constrictor"], "62": ["n01744401", "rock_python"], "63": ["n01748264", "Indian_cobra"], "64": ["n01749939", "green_mamba"], "65": ["n01751748", "sea_snake"], "66": ["n01753488", "horned_viper"], "67": ["n01755581", "diamondback"], "68": ["n01756291", "sidewinder"], "69": ["n01768244", "trilobite"], "70": ["n01770081", "harvestman"], "71": ["n01770393", "scorpion"], "72": ["n01773157", "black_and_gold_garden_spider"], "73": ["n01773549", "barn_spider"], "74": ["n01773797", "garden_spider"], "75": ["n01774384", "black_widow"], "76": ["n01774750", "tarantula"], "77": ["n01775062", "wolf_spider"], "78": ["n01776313", "tick"], "79": ["n01784675", "centipede"], "80": ["n01795545", "black_grouse"], "81": ["n01796340", "ptarmigan"], "82": ["n01797886", "ruffed_grouse"], "83": ["n01798484", "prairie_chicken"], "84": ["n01806143", "peacock"], "85": ["n01806567", "quail"], "86": ["n01807496", "partridge"], "87": ["n01817953", "African_grey"], "88": ["n01818515", "macaw"], "89": ["n01819313", "sulphur-crested_cockatoo"], "90": ["n01820546", "lorikeet"], "91": ["n01824575", "coucal"], "92": ["n01828970", "bee_eater"], "93": ["n01829413", "hornbill"], "94": ["n01833805", "hummingbird"], "95": ["n01843065", "jacamar"], "96": ["n01843383", "toucan"], "97": ["n01847000", "drake"], "98": ["n01855032", "red-breasted_merganser"], "99": ["n01855672", "goose"], "100": ["n01860187", "black_swan"], "101": ["n01871265", "tusker"], "102": ["n01872401", "echidna"], "103": ["n01873310", "platypus"], "104": ["n01877812", "wallaby"], "105": ["n01882714", "koala"], "106": ["n01883070", "wombat"], "107": ["n01910747", "jellyfish"], "108": ["n01914609", "sea_anemone"], "109": ["n01917289", "brain_coral"], "110": ["n01924916", "flatworm"], "111": ["n01930112", "nematode"], "112": ["n01943899", "conch"], "113": ["n01944390", "snail"], "114": ["n01945685", "slug"], "115": ["n01950731", "sea_slug"], "116": ["n01955084", "chiton"], "117": ["n01968897", "chambered_nautilus"], "118": ["n01978287", "Dungeness_crab"], "119": ["n01978455", "rock_crab"], "120": ["n01980166", "fiddler_crab"], "121": ["n01981276", "king_crab"], "122": ["n01983481", "American_lobster"], "123": ["n01984695", "spiny_lobster"], "124": ["n01985128", "crayfish"], "125": ["n01986214", "hermit_crab"], "126": ["n01990800", "isopod"], "127": ["n02002556", "white_stork"], "128": ["n02002724", "black_stork"], "129": ["n02006656", "spoonbill"], "130": ["n02007558", "flamingo"], "131": ["n02009229", "little_blue_heron"], "132": ["n02009912", "American_egret"], "133": ["n02011460", "bittern"], "134": ["n02012849", "crane"], "135": ["n02013706", "limpkin"], "136": ["n02017213", "European_gallinule"], "137": ["n02018207", "American_coot"], "138": ["n02018795", "bustard"], "139": ["n02025239", "ruddy_turnstone"], "140": ["n02027492", "red-backed_sandpiper"], "141": ["n02028035", "redshank"], "142": ["n02033041", "dowitcher"], "143": ["n02037110", "oystercatcher"], "144": ["n02051845", "pelican"], "145": ["n02056570", "king_penguin"], "146": ["n02058221", "albatross"], "147": ["n02066245", "grey_whale"], "148": ["n02071294", "killer_whale"], "149": ["n02074367", "dugong"], "150": ["n02077923", "sea_lion"], "151": ["n02085620", "Chihuahua"], "152": ["n02085782", "Japanese_spaniel"], "153": ["n02085936", "Maltese_dog"], "154": ["n02086079", "Pekinese"], "155": ["n02086240", "Shih-Tzu"], "156": ["n02086646", "Blenheim_spaniel"], "157": ["n02086910", "papillon"], "158": ["n02087046", "toy_terrier"], "159": ["n02087394", "Rhodesian_ridgeback"], "160": ["n02088094", "Afghan_hound"], "161": ["n02088238", "basset"], "162": ["n02088364", "beagle"], "163": ["n02088466", "bloodhound"], "164": ["n02088632", "bluetick"], "165": ["n02089078", "black-and-tan_coonhound"], "166": ["n02089867", "Walker_hound"], "167": ["n02089973", "English_foxhound"], "168": ["n02090379", "redbone"], "169": ["n02090622", "borzoi"], "170": ["n02090721", "Irish_wolfhound"], "171": ["n02091032", "Italian_greyhound"], "172": ["n02091134", "whippet"], "173": ["n02091244", "Ibizan_hound"], "174": ["n02091467", "Norwegian_elkhound"], "175": ["n02091635", "otterhound"], "176": ["n02091831", "Saluki"], "177": ["n02092002", "Scottish_deerhound"], "178": ["n02092339", "Weimaraner"], "179": ["n02093256", "Staffordshire_bullterrier"], "180": ["n02093428", "American_Staffordshire_terrier"], "181": ["n02093647", "Bedlington_terrier"], "182": ["n02093754", "Border_terrier"], "183": ["n02093859", "Kerry_blue_terrier"], "184": ["n02093991", "Irish_terrier"], "185": ["n02094114", "Norfolk_terrier"], "186": ["n02094258", "Norwich_terrier"], "187": ["n02094433", "Yorkshire_terrier"], "188": ["n02095314", "wire-haired_fox_terrier"], "189": ["n02095570", "Lakeland_terrier"], "190": ["n02095889", "Sealyham_terrier"], "191": ["n02096051", "Airedale"], "192": ["n02096177", "cairn"], "193": ["n02096294", "Australian_terrier"], "194": ["n02096437", "Dandie_Dinmont"], "195": ["n02096585", "Boston_bull"], "196": ["n02097047", "miniature_schnauzer"], "197": ["n02097130", "giant_schnauzer"], "198": ["n02097209", "standard_schnauzer"], "199": ["n02097298", "Scotch_terrier"], "200": ["n02097474", "Tibetan_terrier"], "201": ["n02097658", "silky_terrier"], "202": ["n02098105", "soft-coated_wheaten_terrier"], "203": ["n02098286", "West_Highland_white_terrier"], "204": ["n02098413", "Lhasa"], "205": ["n02099267", "flat-coated_retriever"], "206": ["n02099429", "curly-coated_retriever"], "207": ["n02099601", "golden_retriever"], "208": ["n02099712", "Labrador_retriever"], "209": ["n02099849", "Chesapeake_Bay_retriever"], "210": ["n02100236", "German_short-haired_pointer"], "211": ["n02100583", "vizsla"], "212": ["n02100735", "English_setter"], "213": ["n02100877", "Irish_setter"], "214": ["n02101006", "Gordon_setter"], "215": ["n02101388", "Brittany_spaniel"], "216": ["n02101556", "clumber"], "217": ["n02102040", "English_springer"], "218": ["n02102177", "Welsh_springer_spaniel"], "219": ["n02102318", "cocker_spaniel"], "220": ["n02102480", "Sussex_spaniel"], "221": ["n02102973", "Irish_water_spaniel"], "222": ["n02104029", "kuvasz"], "223": ["n02104365", "schipperke"], "224": ["n02105056", "groenendael"], "225": ["n02105162", "malinois"], "226": ["n02105251", "briard"], "227": ["n02105412", "kelpie"], "228": ["n02105505", "komondor"], "229": ["n02105641", "Old_English_sheepdog"], "230": ["n02105855", "Shetland_sheepdog"], "231": ["n02106030", "collie"], "232": ["n02106166", "Border_collie"], "233": ["n02106382", "Bouvier_des_Flandres"], "234": ["n02106550", "Rottweiler"], "235": ["n02106662", "German_shepherd"], "236": ["n02107142", "Doberman"], "237": ["n02107312", "miniature_pinscher"], "238": ["n02107574", "Greater_Swiss_Mountain_dog"], "239": ["n02107683", "Bernese_mountain_dog"], "240": ["n02107908", "Appenzeller"], "241": ["n02108000", "EntleBucher"], "242": ["n02108089", "boxer"], "243": ["n02108422", "bull_mastiff"], "244": ["n02108551", "Tibetan_mastiff"], "245": ["n02108915", "French_bulldog"], "246": ["n02109047", "Great_Dane"], "247": ["n02109525", "Saint_Bernard"], "248": ["n02109961", "Eskimo_dog"], "249": ["n02110063", "malamute"], "250": ["n02110185", "Siberian_husky"], "251": ["n02110341", "dalmatian"], "252": ["n02110627", "affenpinscher"], "253": ["n02110806", "basenji"], "254": ["n02110958", "pug"], "255": ["n02111129", "Leonberg"], "256": ["n02111277", "Newfoundland"], "257": ["n02111500", "Great_Pyrenees"], "258": ["n02111889", "Samoyed"], "259": ["n02112018", "Pomeranian"], "260": ["n02112137", "chow"], "261": ["n02112350", "keeshond"], "262": ["n02112706", "Brabancon_griffon"], "263": ["n02113023", "Pembroke"], "264": ["n02113186", "Cardigan"], "265": ["n02113624", "toy_poodle"], "266": ["n02113712", "miniature_poodle"], "267": ["n02113799", "standard_poodle"], "268": ["n02113978", "Mexican_hairless"], "269": ["n02114367", "timber_wolf"], "270": ["n02114548", "white_wolf"], "271": ["n02114712", "red_wolf"], "272": ["n02114855", "coyote"], "273": ["n02115641", "dingo"], "274": ["n02115913", "dhole"], "275": ["n02116738", "African_hunting_dog"], "276": ["n02117135", "hyena"], "277": ["n02119022", "red_fox"], "278": ["n02119789", "kit_fox"], "279": ["n02120079", "Arctic_fox"], "280": ["n02120505", "grey_fox"], "281": ["n02123045", "tabby"], "282": ["n02123159", "tiger_cat"], "283": ["n02123394", "Persian_cat"], "284": ["n02123597", "Siamese_cat"], "285": ["n02124075", "Egyptian_cat"], "286": ["n02125311", "cougar"], "287": ["n02127052", "lynx"], "288": ["n02128385", "leopard"], "289": ["n02128757", "snow_leopard"], "290": ["n02128925", "jaguar"], "291": ["n02129165", "lion"], "292": ["n02129604", "tiger"], "293": ["n02130308", "cheetah"], "294": ["n02132136", "brown_bear"], "295": ["n02133161", "American_black_bear"], "296": ["n02134084", "ice_bear"], "297": ["n02134418", "sloth_bear"], "298": ["n02137549", "mongoose"], "299": ["n02138441", "meerkat"], "300": ["n02165105", "tiger_beetle"], "301": ["n02165456", "ladybug"], "302": ["n02167151", "ground_beetle"], "303": ["n02168699", "long-horned_beetle"], "304": ["n02169497", "leaf_beetle"], "305": ["n02172182", "dung_beetle"], "306": ["n02174001", "rhinoceros_beetle"], "307": ["n02177972", "weevil"], "308": ["n02190166", "fly"], "309": ["n02206856", "bee"], "310": ["n02219486", "ant"], "311": ["n02226429", "grasshopper"], "312": ["n02229544", "cricket"], "313": ["n02231487", "walking_stick"], "314": ["n02233338", "cockroach"], "315": ["n02236044", "mantis"], "316": ["n02256656", "cicada"], "317": ["n02259212", "leafhopper"], "318": ["n02264363", "lacewing"], "319": ["n02268443", "dragonfly"], "320": ["n02268853", "damselfly"], "321": ["n02276258", "admiral"], "322": ["n02277742", "ringlet"], "323": ["n02279972", "monarch"], "324": ["n02280649", "cabbage_butterfly"], "325": ["n02281406", "sulphur_butterfly"], "326": ["n02281787", "lycaenid"], "327": ["n02317335", "starfish"], "328": ["n02319095", "sea_urchin"], "329": ["n02321529", "sea_cucumber"], "330": ["n02325366", "wood_rabbit"], "331": ["n02326432", "hare"], "332": ["n02328150", "Angora"], "333": ["n02342885", "hamster"], "334": ["n02346627", "porcupine"], "335": ["n02356798", "fox_squirrel"], "336": ["n02361337", "marmot"], "337": ["n02363005", "beaver"], "338": ["n02364673", "guinea_pig"], "339": ["n02389026", "sorrel"], "340": ["n02391049", "zebra"], "341": ["n02395406", "hog"], "342": ["n02396427", "wild_boar"], "343": ["n02397096", "warthog"], "344": ["n02398521", "hippopotamus"], "345": ["n02403003", "ox"], "346": ["n02408429", "water_buffalo"], "347": ["n02410509", "bison"], "348": ["n02412080", "ram"], "349": ["n02415577", "bighorn"], "350": ["n02417914", "ibex"], "351": ["n02422106", "hartebeest"], "352": ["n02422699", "impala"], "353": ["n02423022", "gazelle"], "354": ["n02437312", "Arabian_camel"], "355": ["n02437616", "llama"], "356": ["n02441942", "weasel"], "357": ["n02442845", "mink"], "358": ["n02443114", "polecat"], "359": ["n02443484", "black-footed_ferret"], "360": ["n02444819", "otter"], "361": ["n02445715", "skunk"], "362": ["n02447366", "badger"], "363": ["n02454379", "armadillo"], "364": ["n02457408", "three-toed_sloth"], "365": ["n02480495", "orangutan"], "366": ["n02480855", "gorilla"], "367": ["n02481823", "chimpanzee"], "368": ["n02483362", "gibbon"], "369": ["n02483708", "siamang"], "370": ["n02484975", "guenon"], "371": ["n02486261", "patas"], "372": ["n02486410", "baboon"], "373": ["n02487347", "macaque"], "374": ["n02488291", "langur"], "375": ["n02488702", "colobus"], "376": ["n02489166", "proboscis_monkey"], "377": ["n02490219", "marmoset"], "378": ["n02492035", "capuchin"], "379": ["n02492660", "howler_monkey"], "380": ["n02493509", "titi"], "381": ["n02493793", "spider_monkey"], "382": ["n02494079", "squirrel_monkey"], "383": ["n02497673", "Madagascar_cat"], "384": ["n02500267", "indri"], "385": ["n02504013", "Indian_elephant"], "386": ["n02504458", "African_elephant"], "387": ["n02509815", "lesser_panda"], "388": ["n02510455", "giant_panda"], "389": ["n02514041", "barracouta"], "390": ["n02526121", "eel"], "391": ["n02536864", "coho"], "392": ["n02606052", "rock_beauty"], "393": ["n02607072", "anemone_fish"], "394": ["n02640242", "sturgeon"], "395": ["n02641379", "gar"], "396": ["n02643566", "lionfish"], "397": ["n02655020", "puffer"], "398": ["n02666196", "abacus"], "399": ["n02667093", "abaya"], "400": ["n02669723", "academic_gown"], "401": ["n02672831", "accordion"], "402": ["n02676566", "acoustic_guitar"], "403": ["n02687172", "aircraft_carrier"], "404": ["n02690373", "airliner"], "405": ["n02692877", "airship"], "406": ["n02699494", "altar"], "407": ["n02701002", "ambulance"], "408": ["n02704792", "amphibian"], "409": ["n02708093", "analog_clock"], "410": ["n02727426", "apiary"], "411": ["n02730930", "apron"], "412": ["n02747177", "ashcan"], "413": ["n02749479", "assault_rifle"], "414": ["n02769748", "backpack"], "415": ["n02776631", "bakery"], "416": ["n02777292", "balance_beam"], "417": ["n02782093", "balloon"], "418": ["n02783161", "ballpoint"], "419": ["n02786058", "Band_Aid"], "420": ["n02787622", "banjo"], "421": ["n02788148", "bannister"], "422": ["n02790996", "barbell"], "423": ["n02791124", "barber_chair"], "424": ["n02791270", "barbershop"], "425": ["n02793495", "barn"], "426": ["n02794156", "barometer"], "427": ["n02795169", "barrel"], "428": ["n02797295", "barrow"], "429": ["n02799071", "baseball"], "430": ["n02802426", "basketball"], "431": ["n02804414", "bassinet"], "432": ["n02804610", "bassoon"], "433": ["n02807133", "bathing_cap"], "434": ["n02808304", "bath_towel"], "435": ["n02808440", "bathtub"], "436": ["n02814533", "beach_wagon"], "437": ["n02814860", "beacon"], "438": ["n02815834", "beaker"], "439": ["n02817516", "bearskin"], "440": ["n02823428", "beer_bottle"], "441": ["n02823750", "beer_glass"], "442": ["n02825657", "bell_cote"], "443": ["n02834397", "bib"], "444": ["n02835271", "bicycle-built-for-two"], "445": ["n02837789", "bikini"], "446": ["n02840245", "binder"], "447": ["n02841315", "binoculars"], "448": ["n02843684", "birdhouse"], "449": ["n02859443", "boathouse"], "450": ["n02860847", "bobsled"], "451": ["n02865351", "bolo_tie"], "452": ["n02869837", "bonnet"], "453": ["n02870880", "bookcase"], "454": ["n02871525", "bookshop"], "455": ["n02877765", "bottlecap"], "456": ["n02879718", "bow"], "457": ["n02883205", "bow_tie"], "458": ["n02892201", "brass"], "459": ["n02892767", "brassiere"], "460": ["n02894605", "breakwater"], "461": ["n02895154", "breastplate"], "462": ["n02906734", "broom"], "463": ["n02909870", "bucket"], "464": ["n02910353", "buckle"], "465": ["n02916936", "bulletproof_vest"], "466": ["n02917067", "bullet_train"], "467": ["n02927161", "butcher_shop"], "468": ["n02930766", "cab"], "469": ["n02939185", "caldron"], "470": ["n02948072", "candle"], "471": ["n02950826", "cannon"], "472": ["n02951358", "canoe"], "473": ["n02951585", "can_opener"], "474": ["n02963159", "cardigan"], "475": ["n02965783", "car_mirror"], "476": ["n02966193", "carousel"], "477": ["n02966687", "carpenter's_kit"], "478": ["n02971356", "carton"], "479": ["n02974003", "car_wheel"], "480": ["n02977058", "cash_machine"], "481": ["n02978881", "cassette"], "482": ["n02979186", "cassette_player"], "483": ["n02980441", "castle"], "484": ["n02981792", "catamaran"], "485": ["n02988304", "CD_player"], "486": ["n02992211", "cello"], "487": ["n02992529", "cellular_telephone"], "488": ["n02999410", "chain"], "489": ["n03000134", "chainlink_fence"], "490": ["n03000247", "chain_mail"], "491": ["n03000684", "chain_saw"], "492": ["n03014705", "chest"], "493": ["n03016953", "chiffonier"], "494": ["n03017168", "chime"], "495": ["n03018349", "china_cabinet"], "496": ["n03026506", "Christmas_stocking"], "497": ["n03028079", "church"], "498": ["n03032252", "cinema"], "499": ["n03041632", "cleaver"], "500": ["n03042490", "cliff_dwelling"], "501": ["n03045698", "cloak"], "502": ["n03047690", "clog"], "503": ["n03062245", "cocktail_shaker"], "504": ["n03063599", "coffee_mug"], "505": ["n03063689", "coffeepot"], "506": ["n03065424", "coil"], "507": ["n03075370", "combination_lock"], "508": ["n03085013", "computer_keyboard"], "509": ["n03089624", "confectionery"], "510": ["n03095699", "container_ship"], "511": ["n03100240", "convertible"], "512": ["n03109150", "corkscrew"], "513": ["n03110669", "cornet"], "514": ["n03124043", "cowboy_boot"], "515": ["n03124170", "cowboy_hat"], "516": ["n03125729", "cradle"], "517": ["n03126707", "crane"], "518": ["n03127747", "crash_helmet"], "519": ["n03127925", "crate"], "520": ["n03131574", "crib"], "521": ["n03133878", "Crock_Pot"], "522": ["n03134739", "croquet_ball"], "523": ["n03141823", "crutch"], "524": ["n03146219", "cuirass"], "525": ["n03160309", "dam"], "526": ["n03179701", "desk"], "527": ["n03180011", "desktop_computer"], "528": ["n03187595", "dial_telephone"], "529": ["n03188531", "diaper"], "530": ["n03196217", "digital_clock"], "531": ["n03197337", "digital_watch"], "532": ["n03201208", "dining_table"], "533": ["n03207743", "dishrag"], "534": ["n03207941", "dishwasher"], "535": ["n03208938", "disk_brake"], "536": ["n03216828", "dock"], "537": ["n03218198", "dogsled"], "538": ["n03220513", "dome"], "539": ["n03223299", "doormat"], "540": ["n03240683", "drilling_platform"], "541": ["n03249569", "drum"], "542": ["n03250847", "drumstick"], "543": ["n03255030", "dumbbell"], "544": ["n03259280", "Dutch_oven"], "545": ["n03271574", "electric_fan"], "546": ["n03272010", "electric_guitar"], "547": ["n03272562", "electric_locomotive"], "548": ["n03290653", "entertainment_center"], "549": ["n03291819", "envelope"], "550": ["n03297495", "espresso_maker"], "551": ["n03314780", "face_powder"], "552": ["n03325584", "feather_boa"], "553": ["n03337140", "file"], "554": ["n03344393", "fireboat"], "555": ["n03345487", "fire_engine"], "556": ["n03347037", "fire_screen"], "557": ["n03355925", "flagpole"], "558": ["n03372029", "flute"], "559": ["n03376595", "folding_chair"], "560": ["n03379051", "football_helmet"], "561": ["n03384352", "forklift"], "562": ["n03388043", "fountain"], "563": ["n03388183", "fountain_pen"], "564": ["n03388549", "four-poster"], "565": ["n03393912", "freight_car"], "566": ["n03394916", "French_horn"], "567": ["n03400231", "frying_pan"], "568": ["n03404251", "fur_coat"], "569": ["n03417042", "garbage_truck"], "570": ["n03424325", "gasmask"], "571": ["n03425413", "gas_pump"], "572": ["n03443371", "goblet"], "573": ["n03444034", "go-kart"], "574": ["n03445777", "golf_ball"], "575": ["n03445924", "golfcart"], "576": ["n03447447", "gondola"], "577": ["n03447721", "gong"], "578": ["n03450230", "gown"], "579": ["n03452741", "grand_piano"], "580": ["n03457902", "greenhouse"], "581": ["n03459775", "grille"], "582": ["n03461385", "grocery_store"], "583": ["n03467068", "guillotine"], "584": ["n03476684", "hair_slide"], "585": ["n03476991", "hair_spray"], "586": ["n03478589", "half_track"], "587": ["n03481172", "hammer"], "588": ["n03482405", "hamper"], "589": ["n03483316", "hand_blower"], "590": ["n03485407", "hand-held_computer"], "591": ["n03485794", "handkerchief"], "592": ["n03492542", "hard_disc"], "593": ["n03494278", "harmonica"], "594": ["n03495258", "harp"], "595": ["n03496892", "harvester"], "596": ["n03498962", "hatchet"], "597": ["n03527444", "holster"], "598": ["n03529860", "home_theater"], "599": ["n03530642", "honeycomb"], "600": ["n03532672", "hook"], "601": ["n03534580", "hoopskirt"], "602": ["n03535780", "horizontal_bar"], "603": ["n03538406", "horse_cart"], "604": ["n03544143", "hourglass"], "605": ["n03584254", "iPod"], "606": ["n03584829", "iron"], "607": ["n03590841", "jack-o'-lantern"], "608": ["n03594734", "jean"], "609": ["n03594945", "jeep"], "610": ["n03595614", "jersey"], "611": ["n03598930", "jigsaw_puzzle"], "612": ["n03599486", "jinrikisha"], "613": ["n03602883", "joystick"], "614": ["n03617480", "kimono"], "615": ["n03623198", "knee_pad"], "616": ["n03627232", "knot"], "617": ["n03630383", "lab_coat"], "618": ["n03633091", "ladle"], "619": ["n03637318", "lampshade"], "620": ["n03642806", "laptop"], "621": ["n03649909", "lawn_mower"], "622": ["n03657121", "lens_cap"], "623": ["n03658185", "letter_opener"], "624": ["n03661043", "library"], "625": ["n03662601", "lifeboat"], "626": ["n03666591", "lighter"], "627": ["n03670208", "limousine"], "628": ["n03673027", "liner"], "629": ["n03676483", "lipstick"], "630": ["n03680355", "Loafer"], "631": ["n03690938", "lotion"], "632": ["n03691459", "loudspeaker"], "633": ["n03692522", "loupe"], "634": ["n03697007", "lumbermill"], "635": ["n03706229", "magnetic_compass"], "636": ["n03709823", "mailbag"], "637": ["n03710193", "mailbox"], "638": ["n03710637", "maillot"], "639": ["n03710721", "maillot"], "640": ["n03717622", "manhole_cover"], "641": ["n03720891", "maraca"], "642": ["n03721384", "marimba"], "643": ["n03724870", "mask"], "644": ["n03729826", "matchstick"], "645": ["n03733131", "maypole"], "646": ["n03733281", "maze"], "647": ["n03733805", "measuring_cup"], "648": ["n03742115", "medicine_chest"], "649": ["n03743016", "megalith"], "650": ["n03759954", "microphone"], "651": ["n03761084", "microwave"], "652": ["n03763968", "military_uniform"], "653": ["n03764736", "milk_can"], "654": ["n03769881", "minibus"], "655": ["n03770439", "miniskirt"], "656": ["n03770679", "minivan"], "657": ["n03773504", "missile"], "658": ["n03775071", "mitten"], "659": ["n03775546", "mixing_bowl"], "660": ["n03776460", "mobile_home"], "661": ["n03777568", "Model_T"], "662": ["n03777754", "modem"], "663": ["n03781244", "monastery"], "664": ["n03782006", "monitor"], "665": ["n03785016", "moped"], "666": ["n03786901", "mortar"], "667": ["n03787032", "mortarboard"], "668": ["n03788195", "mosque"], "669": ["n03788365", "mosquito_net"], "670": ["n03791053", "motor_scooter"], "671": ["n03792782", "mountain_bike"], "672": ["n03792972", "mountain_tent"], "673": ["n03793489", "mouse"], "674": ["n03794056", "mousetrap"], "675": ["n03796401", "moving_van"], "676": ["n03803284", "muzzle"], "677": ["n03804744", "nail"], "678": ["n03814639", "neck_brace"], "679": ["n03814906", "necklace"], "680": ["n03825788", "nipple"], "681": ["n03832673", "notebook"], "682": ["n03837869", "obelisk"], "683": ["n03838899", "oboe"], "684": ["n03840681", "ocarina"], "685": ["n03841143", "odometer"], "686": ["n03843555", "oil_filter"], "687": ["n03854065", "organ"], "688": ["n03857828", "oscilloscope"], "689": ["n03866082", "overskirt"], "690": ["n03868242", "oxcart"], "691": ["n03868863", "oxygen_mask"], "692": ["n03871628", "packet"], "693": ["n03873416", "paddle"], "694": ["n03874293", "paddlewheel"], "695": ["n03874599", "padlock"], "696": ["n03876231", "paintbrush"], "697": ["n03877472", "pajama"], "698": ["n03877845", "palace"], "699": ["n03884397", "panpipe"], "700": ["n03887697", "paper_towel"], "701": ["n03888257", "parachute"], "702": ["n03888605", "parallel_bars"], "703": ["n03891251", "park_bench"], "704": ["n03891332", "parking_meter"], "705": ["n03895866", "passenger_car"], "706": ["n03899768", "patio"], "707": ["n03902125", "pay-phone"], "708": ["n03903868", "pedestal"], "709": ["n03908618", "pencil_box"], "710": ["n03908714", "pencil_sharpener"], "711": ["n03916031", "perfume"], "712": ["n03920288", "Petri_dish"], "713": ["n03924679", "photocopier"], "714": ["n03929660", "pick"], "715": ["n03929855", "pickelhaube"], "716": ["n03930313", "picket_fence"], "717": ["n03930630", "pickup"], "718": ["n03933933", "pier"], "719": ["n03935335", "piggy_bank"], "720": ["n03937543", "pill_bottle"], "721": ["n03938244", "pillow"], "722": ["n03942813", "ping-pong_ball"], "723": ["n03944341", "pinwheel"], "724": ["n03947888", "pirate"], "725": ["n03950228", "pitcher"], "726": ["n03954731", "plane"], "727": ["n03956157", "planetarium"], "728": ["n03958227", "plastic_bag"], "729": ["n03961711", "plate_rack"], "730": ["n03967562", "plow"], "731": ["n03970156", "plunger"], "732": ["n03976467", "Polaroid_camera"], "733": ["n03976657", "pole"], "734": ["n03977966", "police_van"], "735": ["n03980874", "poncho"], "736": ["n03982430", "pool_table"], "737": ["n03983396", "pop_bottle"], "738": ["n03991062", "pot"], "739": ["n03992509", "potter's_wheel"], "740": ["n03995372", "power_drill"], "741": ["n03998194", "prayer_rug"], "742": ["n04004767", "printer"], "743": ["n04005630", "prison"], "744": ["n04008634", "projectile"], "745": ["n04009552", "projector"], "746": ["n04019541", "puck"], "747": ["n04023962", "punching_bag"], "748": ["n04026417", "purse"], "749": ["n04033901", "quill"], "750": ["n04033995", "quilt"], "751": ["n04037443", "racer"], "752": ["n04039381", "racket"], "753": ["n04040759", "radiator"], "754": ["n04041544", "radio"], "755": ["n04044716", "radio_telescope"], "756": ["n04049303", "rain_barrel"], "757": ["n04065272", "recreational_vehicle"], "758": ["n04067472", "reel"], "759": ["n04069434", "reflex_camera"], "760": ["n04070727", "refrigerator"], "761": ["n04074963", "remote_control"], "762": ["n04081281", "restaurant"], "763": ["n04086273", "revolver"], "764": ["n04090263", "rifle"], "765": ["n04099969", "rocking_chair"], "766": ["n04111531", "rotisserie"], "767": ["n04116512", "rubber_eraser"], "768": ["n04118538", "rugby_ball"], "769": ["n04118776", "rule"], "770": ["n04120489", "running_shoe"], "771": ["n04125021", "safe"], "772": ["n04127249", "safety_pin"], "773": ["n04131690", "saltshaker"], "774": ["n04133789", "sandal"], "775": ["n04136333", "sarong"], "776": ["n04141076", "sax"], "777": ["n04141327", "scabbard"], "778": ["n04141975", "scale"], "779": ["n04146614", "school_bus"], "780": ["n04147183", "schooner"], "781": ["n04149813", "scoreboard"], "782": ["n04152593", "screen"], "783": ["n04153751", "screw"], "784": ["n04154565", "screwdriver"], "785": ["n04162706", "seat_belt"], "786": ["n04179913", "sewing_machine"], "787": ["n04192698", "shield"], "788": ["n04200800", "shoe_shop"], "789": ["n04201297", "shoji"], "790": ["n04204238", "shopping_basket"], "791": ["n04204347", "shopping_cart"], "792": ["n04208210", "shovel"], "793": ["n04209133", "shower_cap"], "794": ["n04209239", "shower_curtain"], "795": ["n04228054", "ski"], "796": ["n04229816", "ski_mask"], "797": ["n04235860", "sleeping_bag"], "798": ["n04238763", "slide_rule"], "799": ["n04239074", "sliding_door"], "800": ["n04243546", "slot"], "801": ["n04251144", "snorkel"], "802": ["n04252077", "snowmobile"], "803": ["n04252225", "snowplow"], "804": ["n04254120", "soap_dispenser"], "805": ["n04254680", "soccer_ball"], "806": ["n04254777", "sock"], "807": ["n04258138", "solar_dish"], "808": ["n04259630", "sombrero"], "809": ["n04263257", "soup_bowl"], "810": ["n04264628", "space_bar"], "811": ["n04265275", "space_heater"], "812": ["n04266014", "space_shuttle"], "813": ["n04270147", "spatula"], "814": ["n04273569", "speedboat"], "815": ["n04275548", "spider_web"], "816": ["n04277352", "spindle"], "817": ["n04285008", "sports_car"], "818": ["n04286575", "spotlight"], "819": ["n04296562", "stage"], "820": ["n04310018", "steam_locomotive"], "821": ["n04311004", "steel_arch_bridge"], "822": ["n04311174", "steel_drum"], "823": ["n04317175", "stethoscope"], "824": ["n04325704", "stole"], "825": ["n04326547", "stone_wall"], "826": ["n04328186", "stopwatch"], "827": ["n04330267", "stove"], "828": ["n04332243", "strainer"], "829": ["n04335435", "streetcar"], "830": ["n04336792", "stretcher"], "831": ["n04344873", "studio_couch"], "832": ["n04346328", "stupa"], "833": ["n04347754", "submarine"], "834": ["n04350905", "suit"], "835": ["n04355338", "sundial"], "836": ["n04355933", "sunglass"], "837": ["n04356056", "sunglasses"], "838": ["n04357314", "sunscreen"], "839": ["n04366367", "suspension_bridge"], "840": ["n04367480", "swab"], "841": ["n04370456", "sweatshirt"], "842": ["n04371430", "swimming_trunks"], "843": ["n04371774", "swing"], "844": ["n04372370", "switch"], "845": ["n04376876", "syringe"], "846": ["n04380533", "table_lamp"], "847": ["n04389033", "tank"], "848": ["n04392985", "tape_player"], "849": ["n04398044", "teapot"], "850": ["n04399382", "teddy"], "851": ["n04404412", "television"], "852": ["n04409515", "tennis_ball"], "853": ["n04417672", "thatch"], "854": ["n04418357", "theater_curtain"], "855": ["n04423845", "thimble"], "856": ["n04428191", "thresher"], "857": ["n04429376", "throne"], "858": ["n04435653", "tile_roof"], "859": ["n04442312", "toaster"], "860": ["n04443257", "tobacco_shop"], "861": ["n04447861", "toilet_seat"], "862": ["n04456115", "torch"], "863": ["n04458633", "totem_pole"], "864": ["n04461696", "tow_truck"], "865": ["n04462240", "toyshop"], "866": ["n04465501", "tractor"], "867": ["n04467665", "trailer_truck"], "868": ["n04476259", "tray"], "869": ["n04479046", "trench_coat"], "870": ["n04482393", "tricycle"], "871": ["n04483307", "trimaran"], "872": ["n04485082", "tripod"], "873": ["n04486054", "triumphal_arch"], "874": ["n04487081", "trolleybus"], "875": ["n04487394", "trombone"], "876": ["n04493381", "tub"], "877": ["n04501370", "turnstile"], "878": ["n04505470", "typewriter_keyboard"], "879": ["n04507155", "umbrella"], "880": ["n04509417", "unicycle"], "881": ["n04515003", "upright"], "882": ["n04517823", "vacuum"], "883": ["n04522168", "vase"], "884": ["n04523525", "vault"], "885": ["n04525038", "velvet"], "886": ["n04525305", "vending_machine"], "887": ["n04532106", "vestment"], "888": ["n04532670", "viaduct"], "889": ["n04536866", "violin"], "890": ["n04540053", "volleyball"], "891": ["n04542943", "waffle_iron"], "892": ["n04548280", "wall_clock"], "893": ["n04548362", "wallet"], "894": ["n04550184", "wardrobe"], "895": ["n04552348", "warplane"], "896": ["n04553703", "washbasin"], "897": ["n04554684", "washer"], "898": ["n04557648", "water_bottle"], "899": ["n04560804", "water_jug"], "900": ["n04562935", "water_tower"], "901": ["n04579145", "whiskey_jug"], "902": ["n04579432", "whistle"], "903": ["n04584207", "wig"], "904": ["n04589890", "window_screen"], "905": ["n04590129", "window_shade"], "906": ["n04591157", "Windsor_tie"], "907": ["n04591713", "wine_bottle"], "908": ["n04592741", "wing"], "909": ["n04596742", "wok"], "910": ["n04597913", "wooden_spoon"], "911": ["n04599235", "wool"], "912": ["n04604644", "worm_fence"], "913": ["n04606251", "wreck"], "914": ["n04612504", "yawl"], "915": ["n04613696", "yurt"], "916": ["n06359193", "web_site"], "917": ["n06596364", "comic_book"], "918": ["n06785654", "crossword_puzzle"], "919": ["n06794110", "street_sign"], "920": ["n06874185", "traffic_light"], "921": ["n07248320", "book_jacket"], "922": ["n07565083", "menu"], "923": ["n07579787", "plate"], "924": ["n07583066", "guacamole"], "925": ["n07584110", "consomme"], "926": ["n07590611", "hot_pot"], "927": ["n07613480", "trifle"], "928": ["n07614500", "ice_cream"], "929": ["n07615774", "ice_lolly"], "930": ["n07684084", "French_loaf"], "931": ["n07693725", "bagel"], "932": ["n07695742", "pretzel"], "933": ["n07697313", "cheeseburger"], "934": ["n07697537", "hotdog"], "935": ["n07711569", "mashed_potato"], "936": ["n07714571", "head_cabbage"], "937": ["n07714990", "broccoli"], "938": ["n07715103", "cauliflower"], "939": ["n07716358", "zucchini"], "940": ["n07716906", "spaghetti_squash"], "941": ["n07717410", "acorn_squash"], "942": ["n07717556", "butternut_squash"], "943": ["n07718472", "cucumber"], "944": ["n07718747", "artichoke"], "945": ["n07720875", "bell_pepper"], "946": ["n07730033", "cardoon"], "947": ["n07734744", "mushroom"], "948": ["n07742313", "Granny_Smith"], "949": ["n07745940", "strawberry"], "950": ["n07747607", "orange"], "951": ["n07749582", "lemon"], "952": ["n07753113", "fig"], "953": ["n07753275", "pineapple"], "954": ["n07753592", "banana"], "955": ["n07754684", "jackfruit"], "956": ["n07760859", "custard_apple"], "957": ["n07768694", "pomegranate"], "958": ["n07802026", "hay"], "959": ["n07831146", "carbonara"], "960": ["n07836838", "chocolate_sauce"], "961": ["n07860988", "dough"], "962": ["n07871810", "meat_loaf"], "963": ["n07873807", "pizza"], "964": ["n07875152", "potpie"], "965": ["n07880968", "burrito"], "966": ["n07892512", "red_wine"], "967": ["n07920052", "espresso"], "968": ["n07930864", "cup"], "969": ["n07932039", "eggnog"], "970": ["n09193705", "alp"], "971": ["n09229709", "bubble"], "972": ["n09246464", "cliff"], "973": ["n09256479", "coral_reef"], "974": ["n09288635", "geyser"], "975": ["n09332890", "lakeside"], "976": ["n09399592", "promontory"], "977": ["n09421951", "sandbar"], "978": ["n09428293", "seashore"], "979": ["n09468604", "valley"], "980": ["n09472597", "volcano"], "981": ["n09835506", "ballplayer"], "982": ["n10148035", "groom"], "983": ["n10565667", "scuba_diver"], "984": ["n11879895", "rapeseed"], "985": ["n11939491", "daisy"], "986": ["n12057211", "yellow_lady's_slipper"], "987": ["n12144580", "corn"], "988": ["n12267677", "acorn"], "989": ["n12620546", "hip"], "990": ["n12768682", "buckeye"], "991": ["n12985857", "coral_fungus"], "992": ["n12998815", "agaric"], "993": ["n13037406", "gyromitra"], "994": ["n13040303", "stinkhorn"], "995": ["n13044778", "earthstar"], "996": ["n13052670", "hen-of-the-woods"], "997": ["n13054560", "bolete"], "998": ["n13133613", "ear"], "999": ["n15075141", "toilet_tissue"]} diff --git a/examples/Flask/kitten.jpg b/examples/Flask/kitten.jpg new file mode 100644 index 0000000..ffcd2be Binary files /dev/null and b/examples/Flask/kitten.jpg differ diff --git a/examples/Flask/pyvenv.cfg b/examples/Flask/pyvenv.cfg new file mode 100644 index 0000000..032b700 --- /dev/null +++ b/examples/Flask/pyvenv.cfg @@ -0,0 +1,5 @@ +home = /home/p4r0d1m3pxz/conda/bin +include-system-site-packages = false +version = 3.12.2 +executable = /home/p4r0d1m3pxz/conda/bin/python3.12 +command = /home/p4r0d1m3pxz/conda/bin/python3 -m venv /home/p4r0d1m3pxz/work/nachet-model/examples/Flask diff --git a/examples/Flask/requirements.txt b/examples/Flask/requirements.txt new file mode 100644 index 0000000..851397d --- /dev/null +++ b/examples/Flask/requirements.txt @@ -0,0 +1,7 @@ +flask==3.0.3 +python-dotenv +Transformers==4.36.0 +Datasets==2.14.5 +Tokenizers +huggingface-hub==0.19.3 +pillow diff --git a/examples/LitServe/Dockerfile b/examples/LitServe/Dockerfile new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/examples/LitServe/Dockerfile @@ -0,0 +1 @@ + diff --git a/examples/LitServe/docker-compose.yaml b/examples/LitServe/docker-compose.yaml new file mode 100644 index 0000000..ed97d53 --- /dev/null +++ b/examples/LitServe/docker-compose.yaml @@ -0,0 +1 @@ +--- diff --git a/examples/LitServe/requirements.txt b/examples/LitServe/requirements.txt new file mode 100644 index 0000000..e69de29 diff --git a/examples/SeedClassifier/Dockerfile b/examples/SeedClassifier/Dockerfile new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/examples/SeedClassifier/Dockerfile @@ -0,0 +1 @@ + diff --git a/examples/SeedClassifier/docker-compose.yaml b/examples/SeedClassifier/docker-compose.yaml new file mode 100644 index 0000000..ed97d53 --- /dev/null +++ b/examples/SeedClassifier/docker-compose.yaml @@ -0,0 +1 @@ +--- diff --git a/examples/SeedClassifier/requirements.txt b/examples/SeedClassifier/requirements.txt new file mode 100644 index 0000000..e69de29 diff --git a/examples/SeedDetector/Dockerfile b/examples/SeedDetector/Dockerfile new file mode 100644 index 0000000..f6bd579 --- /dev/null +++ b/examples/SeedDetector/Dockerfile @@ -0,0 +1,19 @@ +FROM python:3.11-bullseye + +WORKDIR /app + +# ENV QUART_APP=app.py +# ENV QUART_ENV=development +# ENV PYTHONUNBUFFERED True +# ENV PYTHONPATH=/app + +COPY ./requirements.txt . + +RUN pip3 install torch==2.2.0+cpu torchvision --index-url https://download.pytorch.org/whl/cpu +RUN pip3 install --no-cache-dir -r requirements.txt + +COPY . ./ + +# CMD hypercorn -b :$PORT app:app +# EXPOSE 5000 +# RUN FLASK_APP=app.py flask run diff --git a/examples/SeedDetector/app.py b/examples/SeedDetector/app.py new file mode 100644 index 0000000..33dc20c --- /dev/null +++ b/examples/SeedDetector/app.py @@ -0,0 +1,82 @@ +import json +import os + +import torchvision.models as models +import torchvision.transforms as transforms +from PIL import Image +from flask import Flask, jsonify, request + + +app = Flask(__name__) +model = models.densenet121(pretrained=True) # Trained on 1000 classes from ImageNet +model.eval() # Turns off autograd + + +img_class_map = None +mapping_file_path = "index_to_name.json" # Human-readable names for Imagenet classes +if os.path.isfile(mapping_file_path): + with open(mapping_file_path) as f: + img_class_map = json.load(f) + + +# Transform input into the form our model expects +def transform_image(infile): + input_transforms = [ + transforms.Resize( + 255 + ), # We use multiple TorchVision transforms to ready the image + transforms.CenterCrop(224), + transforms.ToTensor(), + transforms.Normalize( + [0.485, 0.456, 0.406], # Standard normalization for ImageNet model input + [0.229, 0.224, 0.225], + ), + ] + my_transforms = transforms.Compose(input_transforms) + image = Image.open(infile) # Open the image file + timg = my_transforms( + image + ) # Transform PIL image to appropriately-shaped PyTorch tensor + timg.unsqueeze_(0) # PyTorch models expect batched input; create a batch of 1 + return timg + + +# Get a prediction +def get_prediction(input_tensor): + outputs = model.forward(input_tensor) # Get likelihoods for all ImageNet classes + _, y_hat = outputs.max(1) # Extract the most likely class + prediction = y_hat.item() # Extract the int value from the PyTorch tensor + return prediction + + +# Make the prediction human-readable +def render_prediction(prediction_idx): + stridx = str(prediction_idx) + class_name = "Unknown" + if img_class_map is not None: + if stridx in img_class_map is not None: + class_name = img_class_map[stridx][1] + + return prediction_idx, class_name + + +@app.route("/", methods=["GET"]) +def root(): + return jsonify( + {"msg": "Try POSTing to the /predict endpoint with an RGB image attachment"} + ) + + +@app.route("/predict", methods=["POST"]) +def predict(): + if request.method == "POST": + file = request.files["file"] + if file is not None: + input_tensor = transform_image(file) + prediction_idx = get_prediction(input_tensor) + class_id, class_name = render_prediction(prediction_idx) + return jsonify({"class_id": class_id, "class_name": class_name}) + + +if __name__ == "__main__": + app.run() diff --git a/examples/SeedDetector/docker-compose.yaml b/examples/SeedDetector/docker-compose.yaml new file mode 100644 index 0000000..607ab06 --- /dev/null +++ b/examples/SeedDetector/docker-compose.yaml @@ -0,0 +1,11 @@ +--- +services: + flask-torch: + build: + context: . + dockerfile: Dockerfile + command: bash -c 'FLASK_APP=app.py flask run --host=0.0.0.0' + ports: + - "17500:5000" + env_file: + - .env diff --git a/examples/SeedDetector/requirements.txt b/examples/SeedDetector/requirements.txt new file mode 100644 index 0000000..851397d --- /dev/null +++ b/examples/SeedDetector/requirements.txt @@ -0,0 +1,7 @@ +flask==3.0.3 +python-dotenv +Transformers==4.36.0 +Datasets==2.14.5 +Tokenizers +huggingface-hub==0.19.3 +pillow diff --git a/examples/Torchserve/Dockerfile b/examples/Torchserve/Dockerfile new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/examples/Torchserve/Dockerfile @@ -0,0 +1 @@ + diff --git a/examples/Torchserve/docker-compose.yaml b/examples/Torchserve/docker-compose.yaml new file mode 100644 index 0000000..ed97d53 --- /dev/null +++ b/examples/Torchserve/docker-compose.yaml @@ -0,0 +1 @@ +--- diff --git a/examples/Torchserve/requirements.txt b/examples/Torchserve/requirements.txt new file mode 100644 index 0000000..e69de29