From b0c5accaf8e0c0fac17aaef688478d7f391d05bb Mon Sep 17 00:00:00 2001 From: Alexey Suhov Date: Fri, 15 Nov 2019 13:55:44 +0300 Subject: [PATCH] fixed link to Intel models and model downloader --- get-started-linux.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/get-started-linux.md b/get-started-linux.md index 4d481c2..95400d3 100644 --- a/get-started-linux.md +++ b/get-started-linux.md @@ -87,12 +87,12 @@ This paragraph contains the steps to get the pre-trained model for sample infere ### Download a Trained Model -To run the Image Classification Sample you'll need a pre-trained model to run the inference on. This guide will use the public SqueezeNet 1.1 Caffe* model. You can find and download this model manually or use the OpenVINO™ [Model Downloader](https://github.com/opencv/open_model_zoo/tree/master/model_downloader). +To run the Image Classification Sample you'll need a pre-trained model to run the inference on. This guide will use the public SqueezeNet 1.1 Caffe* model. You can find and download this model manually or use the OpenVINO™ [Model Downloader](https://github.com/opencv/open_model_zoo/tree/master/tools/downloader). -With the Model Downloader, you can download other popular public deep learning topologies and the [OpenVINO™ pre-trained models](https://github.com/opencv/open_model_zoo/tree/master/intel_models) prepared for running inference for a wide list of inference scenarios: object detection, object recognition, object re-identification, human pose estimation, action recognition and others. +With the Model Downloader, you can download other popular public deep learning topologies and the [OpenVINO™ pre-trained models](https://github.com/opencv/open_model_zoo/tree/master/models/intel) prepared for running inference for a wide list of inference scenarios: object detection, object recognition, object re-identification, human pose estimation, action recognition and others. To download the SqueezeNet 1.1 Caffe* model to a models folder with the Model Downloader: -1. Install the [prerequisites](https://github.com/opencv/open_model_zoo/tree/master/model_downloader#prerequisites). +1. Install the [prerequisites](https://github.com/opencv/open_model_zoo/tree/master/tools/downloader#prerequisites). 2. Run the `downloader.py` with specifying the topology name and a `` path. For example to download the model to the `~/public_models` directory: ```sh ./downloader.py --name squeezenet1.1 --output_dir ~/public_models -- 2.7.4