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PyCharm Code and Docs Inspect fixes v1 (#18461)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2025-01-03 01:16:18 +05:00 • committed by GitHub
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examples/YOLOv8-ONNXRuntime-Rust/README.md
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@ -87,13 +87,13 @@ cargo run --release -- --cuda --device_id 0 --model <MODEL> --source <SOURCE>
Set `--batch` to do multi-batch-size inference.
If you're using `--trt`, you can also set `--batch-min` and `--batch-max` to explicitly specify min/max/opt batch for dynamic batch input.(https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#explicit-shape-range-for-dynamic-shape-input).(Note that the ONNX model should exported with dynamic shapes)
If you're using `--trt`, you can also set `--batch-min` and `--batch-max` to explicitly specify min/max/opt batch for dynamic batch input.(https://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#explicit-shape-range-for-dynamic-shape-input).(Note that the ONNX model should be exported with dynamic shapes.)
```bash
cargo run --release -- --cuda --batch 2 --model <MODEL> --source <SOURCE>
```
Set `--height` and `--width` to do dynamic image size inference. (Note that the ONNX model should exported with dynamic shapes)
Set `--height` and `--width` to do dynamic image size inference. (Note that the ONNX model should be exported with dynamic shapes.)
```bash
cargo run --release -- --cuda --width 480 --height 640 --model <MODEL> --source <SOURCE>