- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi all,
I was following this documentation openvino documentation
for openvino installation and I pulled the docker image from DockerHub , using the Ubuntu 20.04 runtime version on my ROS2 Foxy machine. I encountered this issue when testing the sample codes that prevented me to proceed.
My steps to run is as follow:
docker run -it --rm openvino/ubuntu20_runtime
/bin/bash -c "cd ~ && omz_downloader --name googlenet-v1 --precisions FP16 && omz_converter --name googlenet-v1 --precision FP16 && curl -O https://storage.openvinotoolkit.org/data/test_data/images/car_1.bmp && python3 /opt/intel/openvino/samples/python/hello_classification/hello_classification.py public/googlenet-v1/FP16/googlenet-v1.xml car_1.bmp CPU"openvino@0e1384fe8363:/opt/intel/openvino_2023.0.1.11005$ /b_downloader --name googlenet-v1 --precisions FP16 && omz_converter --name googlenet-v1 --precision FP16 && curl -O https://storage.openvinotoolkit.org/data/test_data/images/car_1.bmp && python3 /opt/intel/openvino/samples/python/hello_classification/hello_classification.py public/googlenet-v1/FP16/googlenet-v1.xml car_1.bmp CPU"
/bin/bash: omz_downloader: command not found
Error:
/bin/bash: omz_downloader: command not found.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi Kinseng,
Thank you for reaching out to us.
The "omz_downloader: command not found" error is because omz_downloader is not included in OpenVINO™ Runtime and is available in OpenVINO™ Development Tools.
For your information, OpenVINO™ Runtime contains the core set of libraries for running inference on various processing units and only includes the Runtime/Inference Engine. You can find more information here.
On the other hand, OpenVINO™ Development Tools includes the OpenVINO™ Runtime for Python and a set of utilities for optimizing models and validating performance. The OpenVINO™ Development Tools contain the following features:
- Runtime/Inference Engine
- Model Optimizer
- Benchmark Tool
- Accuracy Checker
- Annotation Converter
- Post-Training Optimization Tool
- Model Downloader and other Open Model Zoo Tools
Pull the openvino/ubuntu20_dev Docker image and try to run the Hello Classification Sample again. On my end, I validated by pulling the openvino/ubuntu20_dev docker image and successfully ran the sample as shown here:
Regards,
Megat
Link Copied
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi Kinseng,
Thank you for reaching out to us.
The "omz_downloader: command not found" error is because omz_downloader is not included in OpenVINO™ Runtime and is available in OpenVINO™ Development Tools.
For your information, OpenVINO™ Runtime contains the core set of libraries for running inference on various processing units and only includes the Runtime/Inference Engine. You can find more information here.
On the other hand, OpenVINO™ Development Tools includes the OpenVINO™ Runtime for Python and a set of utilities for optimizing models and validating performance. The OpenVINO™ Development Tools contain the following features:
- Runtime/Inference Engine
- Model Optimizer
- Benchmark Tool
- Accuracy Checker
- Annotation Converter
- Post-Training Optimization Tool
- Model Downloader and other Open Model Zoo Tools
Pull the openvino/ubuntu20_dev Docker image and try to run the Hello Classification Sample again. On my end, I validated by pulling the openvino/ubuntu20_dev docker image and successfully ran the sample as shown here:
Regards,
Megat
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi Kinseng,
This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Regards,
Megat

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page