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Diffstat (limited to 'docs/use_cases/object_detection.md')
| -rw-r--r-- | docs/use_cases/object_detection.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/use_cases/object_detection.md b/docs/use_cases/object_detection.md index 1b74cf1..e946c1b 100644 --- a/docs/use_cases/object_detection.md +++ b/docs/use_cases/object_detection.md @@ -14,13 +14,14 @@ - [Running Object Detection](./object_detection.md#running-object-detection) ## Introduction + This document describes the process of setting up and running the Arm® *Ethos™-U* NPU Object Detection example. Object Detection is a classical computer vision use case in which specific objects need to be identified and located within a full frame. In this specific example the model was trained for face detection. The ML sample was developed using the *YOLO Fastest* model. To adopt the model for low power / low memory systems the input images to the model are monochrome images. The model was trained on the *Wider* dataset (after conversion from RGB to monochrome) -and on *Emza Visual-Sense* dataset [www.emza-vs.com](www.emza-vs.com). -The model makes detection faces in size of 20x20 pixels and above. +and on *Emza Visual-Sense* dataset <www.emza-vs.com>. +The model makes detection faces in size of 20x20 pixels and above. Use-case code could be found in the following directory:[source/use_case/object_detection](../../source/use_case/object_detection). @@ -99,7 +100,6 @@ For further information, please refer to: - [Configuring with custom TPIP dependencies](../sections/building.md#configuring-with-custom-tpip-dependencies) - [Using Arm Compiler](../sections/building.md#using-arm-compiler) - [Configuring the build for simple-platform](../sections/building.md#configuring-the-build-for-simple_platform) -- [Working with model debugger from Arm Fast Model Tools](../sections/building.md#working-with-model-debugger-from-arm-fast-model-tools) - [Building for different Ethos-U NPU variants](../sections/building.md#building-for-different-ethos_u-npu-variants) > **Note:** If re-building with changed parameters values, we recommend that you clean the build directory and re-run |