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@@ -11,7 +11,7 @@ FastDeploy provides two examples for these situations in this directory
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## Fixed input shape
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While deploying a computer vision model, it includes 3 steps
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While deploying a compute vision model, it includes 3 steps
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- Input a image data, after the preprocessing steps, we get the `tensors` which will be feed to the deeplearning model
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- Inference the model by Runtime with the input `tensors`, and get the output `tensors`
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- Postprocessing the output `tensors`, and get the final results we need, e.g `DetectionResult`, `SegmentationResult`
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