Update README.md (#4)
Browse files- Update README.md (326fc4807182bf6fa6ad4ccae378d7ca28f297ad)
README.md
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@@ -28,17 +28,17 @@ The model is trained using a "bipartite matching loss": one compares the predict
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IoU and Pixel accuracy measured on 512 images from the COCO dataset. The ground truth labels were extracted from the panoptic segmentation annotations, transformed to semantic segmentation masks. Input images were resized so that the smaller edge equals 448, then center-cropped.
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##
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The following results refer to DETRResnet50SemanticSegmentationF16. The compute units for MacBook Pro (M1 Max) were manually selected to "CPU and Neural Engine".
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| Device | OS | Inference time (ms) | Dominant compute unit |
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| -------------------- | ---- | ------------------: | --------------------- |
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| iPhone 14 | 17.5 | | Neural Engine |
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| iPhone 14 Pro Max | 17.5 | | Neural Engine |
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| iPhone 15 | 17.0 | | Neural Engine |
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| iPhone 15 Pro Max | 17.5 | 40 | Neural Engine |
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| MacBook Pro (M1 Max) | 14.5 | 43 | Neural Engine |
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## Download
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IoU and Pixel accuracy measured on 512 images from the COCO dataset. The ground truth labels were extracted from the panoptic segmentation annotations, transformed to semantic segmentation masks. Input images were resized so that the smaller edge equals 448, then center-cropped.
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## Inference time
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The following results refer to DETRResnet50SemanticSegmentationF16. The compute units for MacBook Pro (M1 Max) were manually selected to "CPU and Neural Engine".
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| Device | OS | Inference time (ms) | Dominant compute unit |
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| -------------------- | ---- | ------------------: | --------------------- |
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| iPhone 15 Pro Max | 17.5 | 40 | Neural Engine |
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| MacBook Pro (M1 Max) | 14.5 | 43 | Neural Engine |
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| iPhone 12 Pro Max | 18.0 | 52 | Neural Engine |
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| MacBook Pro (M3 Max) | 15.0 | 29 | Neural Engine |
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## Download
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