IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Alignment model and input (#3115)

Browse Source
This commit is contained in:
Anton Romanov
2020-11-16 01:26:04 -08:00
committed by GitHub
parent 9790c1253c
commit 74f8b86e8c
18 changed files with 54 additions and 44 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
inference-engine/samples/classification_sample_async/README.md
View File

@@ -38,8 +38,8 @@ classification_sample_async [OPTION]
Options:
-h Print a usage message.
-i "<path>" Required. Path to a folder with images or path to an image files: a .ubyte file for LeNetand a .bmp file for the other networks.
-m "<path>" Required. Path to an .xml file with a trained model.
-i "<path>" Required. Path to a folder with images or path to an image files: a .ubyte file for LeNetand a .bmp file for the other networks.
-l "<absolute_path>" Required for CPU custom layers.Absolute path to a shared library with the kernels implementation
Or
-c "<absolute_path>" Required for GPU custom kernels.Absolute path to the .xml file with kernels description
@@ -57,7 +57,7 @@ To run the sample, use AlexNet and GoogLeNet or other public or pre-trained imag
You can do inference of an image using a trained AlexNet network on FPGA with fallback to CPU using the following command:
```sh
./classification_sample_async -i <path_to_image>/cat.bmp -m <path_to_model>/alexnet_fp32.xml -nt 5 -d HETERO:FPGA,CPU
./classification_sample_async -m <path_to_model>/alexnet_fp32.xml -i <path_to_image>/cat.bmp -d HETERO:FPGA,CPU -nt 5
```
## Sample Output