From c3c0631a899c73a9b2b0b3c4999e0654b4875dae Mon Sep 17 00:00:00 2001 From: Michael Poluektov Date: Mon, 18 Sep 2023 13:25:24 +0000 Subject: [PATCH 1/2] Update README from mobilenet to yolov8 --- examples/app_yolov8_classification/README.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/app_yolov8_classification/README.rst b/examples/app_yolov8_classification/README.rst index 232c5f6da..26bcc3360 100644 --- a/examples/app_yolov8_classification/README.rst +++ b/examples/app_yolov8_classification/README.rst @@ -1,14 +1,14 @@ -MobilenetV2 example with flash +YOLOv8 example with flash ================== Please consult `here <../../docs/rst/flow.rst>`_ on how to install the tools. In order to compile and run this example follow these steps:: - python obtain_and_build_mobilenetv2.py + python obtain_and_optimize_yolov8.py xmake xflash --target XCORE-AI-EXPLORER --data xcore_flash_binary.out - xrun --xscope bin/app_mobilenetv2.xe + xrun --xscope bin/app_yolov8_classification.xe In the example, we inference the model with a sample image of a LION. Running the example should print:: From 9c0edc267d8023068ef8e8e540b4c48cb8fb34ad Mon Sep 17 00:00:00 2001 From: Michael Poluektov Date: Mon, 18 Sep 2023 13:28:33 +0000 Subject: [PATCH 2/2] update gitignore --- .gitignore | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/.gitignore b/.gitignore index 40676fda8..20af34900 100644 --- a/.gitignore +++ b/.gitignore @@ -102,3 +102,11 @@ examples/app_mobilenetv2/src/model.tflite.h examples/app_mobilenetv2/src/model_flash.params examples/app_mobilenetv2/xcore_flash_binary.out examples/app_mobilenetv2/mobilenetv2.tflite +examples/app_yolov8_classification/src/model.tflite +examples/app_yolov8_classification/src/model.tflite.cpp +examples/app_yolov8_classification/src/model.tflite.h +examples/app_yolov8_classification/src/model_flash.params +examples/app_yolov8_classification/xcore_flash_binary.out +examples/app_yolov8_classification/yolov8n-cls.onnx +examples/app_yolov8_classification/yolov8n-cls.pt +examples/app_yolov8_classification/yolov8n-cls_saved_model/