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| author | Michael Levit <michaell@emza-vs.com> | 2022-01-12 11:53:46 +0200 |
|---|---|---|
| committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2022-01-27 11:36:38 +0000 |
| commit | 06fcf7502b5c9b0e30ac06acfa25aa914d936500 (patch) | |
| tree | f6033d9cd94e351d213b7d4fb74afda147f93b75 /Readme.md | |
| parent | e958850d7672cd81a5eb48285a2df94b8f0595f0 (diff) | |
| download | ml-embedded-evaluation-kit-06fcf7502b5c9b0e30ac06acfa25aa914d936500.tar.gz | |
Face detection demo from Emza Visual Sense
Signed-off-by: Michael Levit michaell@emza-vs.com
Change-Id: I7958b05b5dbe9a785e0f8a241b716c17a9ca976f
Diffstat (limited to 'Readme.md')
| -rw-r--r-- | Readme.md | 4 |
1 files changed, 3 insertions, 1 deletions
@@ -37,6 +37,7 @@ The example application at your disposal and the utilized models are listed in t | [Visual Wake Word](./docs/use_cases/visual_wake_word.md) | Recognize if person is present in a given image | [MicroNet](https://github.com/ARM-software/ML-zoo/tree/7dd3b16bb84007daf88be8648983c07f3eb21140/models/visual_wake_words/micronet_vww4/tflite_int8/vww4_128_128_INT8.tflite)| | [Noise Reduction](./docs/use_cases/noise_reduction.md) | Remove noise from audio while keeping speech intact | [RNNoise](https://github.com/ARM-software/ML-zoo/raw/a061600058097a2785d6f1f7785e5a2d2a142955/models/noise_suppression/RNNoise/tflite_int8) | | [Generic inference runner](./docs/use_cases/inference_runner.md) | Code block allowing you to develop your own use case for Ethos-U NPU | Your custom model | +| [Object detection](./docs/use_cases/object_detection.md) | Detects and draws face bounding box in a given image | [Yolo Fastest](https://github.com/emza-vs/ModelZoo/blob/master/object_detection/yolo-fastest_192_face_v4.tflite) The above use cases implement end-to-end ML flow including data pre-processing and post-processing. They will allow you to investigate embedded software stack, evaluate performance of the networks running on Cortex-M55 CPU and Ethos-U NPU @@ -196,4 +197,5 @@ Application input data sample files are provided under their original license: | [Keyword Spotting Samples](./resources/kws/samples/files.md) | [Creative Commons Attribution 4.0 International Public License](./resources/LICENSE_CC_4.0.txt) | <http://download.tensorflow.org/data/speech_commands_v0.02.tar.gz> | | [Keyword Spotting and Automatic Speech Recognition Samples](./resources/kws_asr/samples/files.md) | [Creative Commons Attribution 4.0 International Public License](./resources/LICENSE_CC_4.0.txt) | <http://download.tensorflow.org/data/speech_commands_v0.02.tar.gz> | | [Visual Wake Word Samples](./resources/vww/samples/files.md) | [Creative Commons Attribution 1.0](./resources/LICENSE_CC_1.0.txt) | <https://www.pexels.com> | -| [Noise Reduction Samples](./resources/noise_reduction/samples/files.md) | [Creative Commons Attribution 4.0 International Public License](./resources/LICENSE_CC_4.0.txt) | <https://datashare.ed.ac.uk/handle/10283/2791/> | +| [Noise Reduction Samples](./resources/noise_reduction/samples/files.md) | [Creative Commons Attribution 4.0 International Public License](./resources/LICENSE_CC_4.0.txt) | <https://datashare.ed.ac.uk/handle/10283/2791/> | +| [Object Detection Samples](./resources/object_detection/samples/files.md) | [Creative Commons Attribution 1.0](./resources/LICENSE_CC_1.0.txt) | <https://www.pexels.com> | |