upload docker & doc files

Dockerfile

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+FROM nvcr.io/nvidia/pytorch:25.09-py3
+
+ARG TARGETARCH
+
+ARG TORCH_CUDA_ARCH_LIST
+ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install -U pip hatchling "setuptools>=68" --root-user-action ignore
+
+COPY nemo-retriever-ocr /workspace/nemo-retriever-ocr
+WORKDIR /workspace/nemo-retriever-ocr
+
+# Ensure no prebuilt binaries/artifacts from the host are present
+RUN rm -f src/nemo_retriever_ocr_cpp/*.so || true \
+    && rm -rf build/ dist/
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+    BUILD_CPP_FORCE=1 ARCH=${TARGETARCH} pip install -v . --no-build-isolation --root-user-action ignore
+
+WORKDIR /workspace

THIRD_PARTY_NOTICES.md

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+# Third Party Notices
+
+The scripts contained in this repository make use of the following third-party libraries:
+
+- [clipper](https://sourceforge.net/p/polyclipping/code/HEAD/tree/tags/6.2.0/License.txt)
+- [hatchling](https://github.com/pypa/hatch/blob/master/LICENSE.txt)
+- [numpy](https://github.com/numpy/numpy/blob/main/LICENSE.txt)
+- [pandas](https://github.com/pandas-dev/pandas/blob/main/LICENSE)
+- [Pillow](https://github.com/python-pillow/pillow/blob/main/LICENSE)
+- [scikit_learn](https://github.com/scikit-learn/scikit-learn/blob/main/COPYING)
+- [setuptools](https://github.com/pypa/setuptools/blob/main/LICENSE)
+- [Shapely](https://github.com/shapely/shapely/blob/main/LICENSE.txt)
+- [torch](https://github.com/pytorch/pytorch/blob/main/LICENSE)
+- [torchvision](https://github.com/pytorch/vision/blob/main/LICENSE)
+- [trove](https://github.com/bryancatanzaro/trove/blob/master/LICENSE)

docker-compose.yaml

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+services:
+  nemo-retriever-ocr:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - capabilities: [gpu]
+    working_dir: /workspace
+    volumes:
+      - .:/workspace:rw
+      - ${XDG_CACHE_HOME:-~/cache}:/root/.cache:rw
+    command: bash -lc "python example.py ocr-example-input-1.png --merge-level paragraph"
+    ipc: host
+    ulimits:
+      memlock:
+        soft: -1
+        hard: -1
+      stack: 6710886

pixi.lock

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+version: 6
+environments:
+  default:
+    channels:
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+    - url: https://conda.anaconda.org/nvidia/
+    packages:
+      linux-64:
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
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quickstart.md

@@ -0,0 +1,73 @@
+# Contributing
+
+## Installation
+
+Install [pixi](https://pixi.sh/latest/) for pulling conda/pip packages:
+
+```bash
+curl -fsSL https://pixi.sh/install.sh | sh
+```
+
+Create pixi environment and enter activated shell:
+
+```bash
+pixi s
+```
+
+Create a virtualenv and install nemo-retriever-ocr into it via `uv`:
+
+```bash
+uv venv \
+&& uv pip install -e ./nemo-retriever-ocr -v
+```
+
+Assert that OCR inference libraries can now be imported successfully:
+
+```bash
+uv run python -c "import nemo_retriever_ocr; import nemo_retriever_ocr_cpp"
+```
+
+## Usage
+
+`nemo_retriever_ocr.inference.pipeline.NemoRetrieverOCR` is the main entry point for performing OCR inference; it can be used to iterate over predictions for a given input image:
+
+```python
+from nemo_retriever_ocr.inference.pipeline import NemoRetrieverOCR
+
+ocr = NemoRetrieverOCR()
+
+predictions = ocr("ocr-example-input-1.png")
+
+for pred in predictions:
+    print(
+        f"  - Text: '{pred['text']}', "
+        f"Confidence: {pred['confidence']:.2f}, "
+        f"Bbox: [left={pred['left']:.4f}, upper={pred['upper']:.4f}, right={pred['right']:.4f}, lower={pred['lower']:.4f}]"
+    )
+```
+
+Or predictions can be superimposed on the input image for visualization:
+
+```python
+ocr(image_path, visualize=True)
+```
+
+The level of detection merging can be adjusted by modifying the `merge_level` argument (defaulting to "paragraph"):
+
+```python
+ocr(image_path, merge_level="word")      # leave detected words unmerged
+ocr(image_path, merge_level="sentence")  # merge detected words into sentences
+```
+
+An example script `example.py` is provided for convenience:
+
+```bash
+uv run python example.py ocr-example-input-1.png
+```
+
+Detection merging can be adjusted by modifying the `--merge-level` option:
+
+```bash
+uv run python example.py ocr-example-input-1.png --merge-level word
+uv run python example.py ocr-example-input-1.png --merge-level sentence
+```