DOCS: Fixing formatting in Samples - port to master (#13128)

* DOCS: Fixing formatting in Samples - porting to master

Porting
https://github.com/openvinotoolkit/openvino/pull/13085

Fixing incorrectly numbered lists and indentation of code blocks.

* Update get_started_demos.md

Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com>
This commit is contained in:
Sebastian Golebiewski
2022-10-12 14:16:02 +02:00
committed by GitHub
parent 7f75da93ed
commit 60099a19bd
11 changed files with 134 additions and 165 deletions

View File

@@ -55,28 +55,24 @@ To run the sample, you need specify a model and image:
### Example
1. Install openvino-dev python package if you don't have it to use Open Model Zoo Tools:
```
python -m pip install openvino-dev[caffe,onnx,tensorflow2,pytorch,mxnet]
```
```
python -m pip install openvino-dev[caffe,onnx,tensorflow2,pytorch,mxnet]
```
2. Download a pre-trained model using:
```
omz_downloader --name person-detection-retail-0013
```
```
omz_downloader --name person-detection-retail-0013
```
3. `person-detection-retail-0013` does not need to be converted, because it is already in necessary format, so you can skip this step. If you want to use another model that is not in the IR or ONNX format, you can convert it using the model converter script:
```
omz_converter --name <model_name>
```
```
omz_converter --name <model_name>
```
4. Perform inference of `person_detection.bmp` using `person-detection-retail-0013` model on a `GPU`, for example:
```
hello_reshape_ssd person-detection-retail-0013.xml person_detection.bmp GPU
```
```
hello_reshape_ssd person-detection-retail-0013.xml person_detection.bmp GPU
```
## Sample Output