Add compatible `tensorstore` versions for `aarch64` (#14697)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docker/Dockerfile-arm64

@@ -32,9 +32,8 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $A
 RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
 
 # Install pip packages
-# Install tensorstore from .whl because PyPI does not include aarch64 binaries
 RUN python3 -m pip install --upgrade pip wheel
-RUN pip install --no-cache-dir https://github.com/ultralytics/assets/releases/download/v0.0.0/tensorstore-0.1.59-cp311-cp311-linux_aarch64.whl -e ".[export]"
+RUN pip install --no-cache-dir -e ".[export]"
 
 # Creates a symbolic link to make 'python' point to 'python3'
 RUN ln -sf /usr/bin/python3 /usr/bin/python

pyproject.toml

@@ -101,6 +101,7 @@ export = [
     "openvino>=2024.0.0", # OpenVINO export
     "tensorflow>=2.0.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
     "tensorflowjs>=3.9.0", # TF.js export, automatically installs tensorflow
+    "tensorstore>=0.1.63; platform_machine == 'aarch64' and python_version >= '3.9'",  # for TF Raspberry Pi exports
     "keras",  # not installed automatically by tensorflow>=2.16
     "flatbuffers>=23.5.26,<100; platform_machine == 'aarch64'", # update old 'flatbuffers' included inside tensorflow package
     "numpy==1.23.5; platform_machine == 'aarch64'", # fix error: `np.bool` was a deprecated alias for the builtin `bool` when using TensorRT models on NVIDIA Jetson