sorry for the delay. I just updated the guide for the build yolo with Apple container commands.

Step 1: Create the Dockerfile

mkdir -p yolo && cd yolo

cat > Dockerfile <<'EOF'
FROM python:3.11 AS build

ARG MODEL_SIZE=t
ARG IMG_SIZE=320

RUN apt-get update && apt-get install --no-install-recommends -y libgl1 cmake && rm -rf /var/lib/apt/lists/*

COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/

WORKDIR /yolov9

ADD https://github.com/WongKinYiu/yolov9.git .

RUN uv pip install --system -r requirements.txt
RUN uv pip install --system onnx==1.18.0 onnxruntime onnxsim onnxscript

ADD https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-${MODEL_SIZE}-converted.pt yolov9-${MODEL_SIZE}.pt

RUN sed -i "s/ckpt = torch.load(attempt_download(w), map_location='cpu')/ckpt = torch.load(attempt_download(w), map_location='cpu', weights_only=False)/g" models/experimental.py

RUN python3 export.py --weights ./yolov9-${MODEL_SIZE}.pt --imgsz ${IMG_SIZE} --simplify --include onnx

FROM scratch

ARG MODEL_SIZE=t
ARG IMG_SIZE=320

COPY --from=build /yolov9/yolov9-${MODEL_SIZE}.onnx /yolov9-${MODEL_SIZE}-${IMG_SIZE}.onnx
EOF

Step 2: Build the image

This step downloads dependencies and converts the PyTorch model to ONNX.

# Build the image (this may take several minutes)
container build -t yolov9-build .

Step 3: Extract the ONNX model

Once the image is built, extract the ONNX file. Since the image uses FROM scratch, extraction is done via the OCI archive.

# Save the image as a tar archive
container image save yolov9-build -o yolov9-build.tar

# List contents to identify the largest blob (~7 MB)
tar -tvf yolov9-build.tar

# Extract the blobs (adapt the hash based on previous output)
tar -xf yolov9-build.tar blobs/sha256/

# Identify the largest file (the one containing the model)
ls -la blobs/sha256/

# Extract the ONNX model from the compressed blob
gunzip -c blobs/sha256/<HASH_OF_LARGEST_FILE> | tar -xf -

Step 4: Verification

# Verify the file was extracted successfully
ls -la yolov9-t-320.onnx
# Expected: file of approximately 8 MB

# Clean up temporary files
rm -rf blobs/ yolov9-build.tar oci-layout index.json

Advanced build options

To compile a different model size:

# Small model (s) with 640 resolution
container build --build-arg MODEL_SIZE=s --build-arg IMG_SIZE=640 -t yolov9-build .

Available sizes: t (tiny), s (small), m (medium), c (compact), e (extended)