From 3c9652d851ed0a9e4150ab414e4d94d5641f06a6 Mon Sep 17 00:00:00 2001 From: Piotr Telman Date: Wed, 27 May 2020 20:00:15 +0200 Subject: [PATCH] Model zoo link fixes --- docs/machine-learning/tutorials/object-detection-onnx.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/machine-learning/tutorials/object-detection-onnx.md b/docs/machine-learning/tutorials/object-detection-onnx.md index e41181ad6de09..196df4a5218ac 100644 --- a/docs/machine-learning/tutorials/object-detection-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-onnx.md @@ -98,7 +98,7 @@ Now that you have a general understanding of what ONNX is and how Tiny YOLOv2 wo 1. Copy the `assets` directory into your *ObjectDetection* project directory. This directory and its subdirectories contain the image files (except for the Tiny YOLOv2 model, which you'll download and add in the next step) needed for this tutorial. -1. Download the [Tiny YOLOv2 model](https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz) from the [ONNX Model Zoo](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny_yolov2), and unzip. +1. Download the [Tiny YOLOv2 model](https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz) from the [ONNX Model Zoo](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov2), and unzip. Open the command prompt and enter the following command: