Add benchmarks to Docker publish workflow (#3931)
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@ -40,18 +40,18 @@ full list of export arguments.
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## Arguments
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Arguments such as `model`, `data`, `imgsz`, `half`, `device`, and `hard_fail` provide users with the flexibility to fine-tune
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Arguments such as `model`, `data`, `imgsz`, `half`, `device`, and `verbose` provide users with the flexibility to fine-tune
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the benchmarks to their specific needs and compare the performance of different export formats with ease.
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| Key | Value | Description |
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|-------------|---------|----------------------------------------------------------------------------|
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| `model` | `None` | path to model file, i.e. yolov8n.pt, yolov8n.yaml |
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| `data` | `None` | path to yaml referencing the benchmarking dataset (under `val` label) |
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| `imgsz` | `640` | image size as scalar or (h, w) list, i.e. (640, 480) |
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| `half` | `False` | FP16 quantization |
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| `int8` | `False` | INT8 quantization |
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| `device` | `None` | device to run on, i.e. cuda device=0 or device=0,1,2,3 or device=cpu |
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| `hard_fail` | `False` | do not continue on error (bool), or val floor threshold (float) |
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| Key | Value | Description |
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|-----------|---------|-----------------------------------------------------------------------|
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| `model` | `None` | path to model file, i.e. yolov8n.pt, yolov8n.yaml |
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| `data` | `None` | path to yaml referencing the benchmarking dataset (under `val` label) |
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| `imgsz` | `640` | image size as scalar or (h, w) list, i.e. (640, 480) |
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| `half` | `False` | FP16 quantization |
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| `int8` | `False` | INT8 quantization |
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| `device` | `None` | device to run on, i.e. cuda device=0 or device=0,1,2,3 or device=cpu |
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| `verbose` | `False` | do not continue on error (bool), or val floor threshold (float) |
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## Export Formats
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