Skip to content

fix broken links to models #524

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix broken links to models #524

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion c_cxx/OpenVINO_EP/Linux/squeezenet_classification/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ The source code for this sample is available [here](https://github.com/microsoft
3. Use opencl for IO buffer sample (squeezenet_cpp_app_io.cpp).
4. Use any sample image as input to the sample.
5. Download the latest Squeezenet model from the ONNX Model Zoo.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/master/vision/classification/squeezenet) model from here.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/master/validated/vision/classification/squeezenet) model from here.


## Install ONNX Runtime for OpenVINO Execution Provider
Expand Down
2 changes: 1 addition & 1 deletion c_cxx/OpenVINO_EP/Windows/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
3. Use opencl for IO buffer sample (squeezenet_cpp_app_io.cpp).
4. Use any sample image as input to the sample.
5. Download the latest Squeezenet model from the ONNX Model Zoo.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/master/vision/classification/squeezenet) model from here.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/master/validated/vision/classification/squeezenet) model from here.

#### Build ONNX Runtime
Open x64 Native Tools Command Prompt for VS 2019.
Expand Down
2 changes: 1 addition & 1 deletion c_sharp/OpenVINO_EP/yolov3_object_detection/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ The source code for this sample is available [here](https://github.com/microsoft
2. [The Intel<sup>®</sup> Distribution of OpenVINO toolkit](https://docs.openvinotoolkit.org/latest/index.html)
3. Use any sample Image as input to the sample.
4. Download the latest YOLOv3 model from the ONNX Model Zoo.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [YOLOv3](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov3) model from here.
This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [YOLOv3](https://github.com/onnx/models/tree/master/validated/vision/object_detection_segmentation/yolov3) model from here.

## Install ONNX Runtime for OpenVINO Execution Provider

Expand Down
2 changes: 1 addition & 1 deletion python/OpenVINO_EP/tiny_yolo_v2_object_detection/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ The source code for this sample is available [here](https://github.com/microsoft

## Prerequisites
1. Download the latest tinyYOLOv2 model from the ONNX Model Zoo.
This model was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [tinyYOLOv2](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov2) model from here.
This model was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [tinyYOLOv2](https://github.com/onnx/models/tree/master/validated/vision/object_detection_segmentation/tiny-yolov2) model from here.

## Install ONNX Runtime for OpenVINO™ Execution Provider
Please install the onnxruntime-openvino python package from [here](https://pypi.org/project/onnxruntime-openvino). The package for Linux contains prebuilt OpenVINO Libs with ABI 0.
Expand Down
2 changes: 1 addition & 1 deletion python/OpenVINO_EP/yolov4_object_detection/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ The source code for this sample is available [here](https://github.com/microsoft
# How to build

## Prerequisites
1. Download the latest version of the [YOLOv4](https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov4) model from here.
1. Download the latest version of the [YOLOv4](https://github.com/onnx/models/tree/master/validated/vision/object_detection_segmentation/yolov4) model from here.

## Install ONNX Runtime for OpenVINO™ Execution Provider
Please install the onnxruntime-openvino python package from [here](https://pypi.org/project/onnxruntime-openvino). The package for Linux contains prebuilt OpenVINO Libs with ABI 0.
Expand Down