Docker download `onnxruntime-gpu 1.15.1` for Jetson Linux 35.2.1 (#10389)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: hdnh2006 <henry.matucv@gmail.com>

docker/Dockerfile-jetson

@@ -28,8 +28,12 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt /u
 # Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
 RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
 
+# Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime
+RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
+
 # Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
 RUN python3 -m pip install --upgrade pip wheel
+RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
 RUN pip install --no-cache tqdm matplotlib pyyaml psutil pandas onnx
 RUN pip install --no-cache -e ".[export]"
 

ultralytics/utils/checks.py

@@ -419,7 +419,14 @@ def check_torchvision():
     """
 
     # Compatibility table
-    compatibility_table = {"2.0": ["0.15"], "1.13": ["0.14"], "1.12": ["0.13"]}
+    compatibility_table = {
+        "2.3": ["0.18"],
+        "2.2": ["0.17"],
+        "2.1": ["0.16"],
+        "2.0": ["0.15"],
+        "1.13": ["0.14"],
+        "1.12": ["0.13"],
+    }
 
     # Extract only the major and minor versions
     v_torch = ".".join(torch.__version__.split("+")[0].split(".")[:2])