Fixing linux demos (#3018) (#3032)

* Fixing linux demos

* Windows fixes

* PIP_BREAK_SYSTEM_PACKAGES=1

Author: rasapala

demos/age_gender_recognition/python/README.md

@@ -19,6 +19,7 @@ curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_z
 :::{dropdown} **Deploying with Docker**
 Start OVMS container with image pulled in previous step and mount `model` directory :
 ```bash
+chmod -R 755 model
 docker run --rm -d -u $(id -u):$(id -g) -v $(pwd)/model:/models/age_gender -p 9000:9000 -p 8000:8000 openvino/model_server:latest --model_path /models/age_gender --model_name age_gender --port 9000 --rest_port 8000
 ```
 :::

demos/benchmark/cpp/README.md

@@ -19,7 +19,8 @@ The application can be used with any model or pipeline served in OVMS, by reques
 ### Prepare the model
 Start OVMS with resnet50-binary model:
 ```bash
-curl -L --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.bin -o resnet50-binary/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.xml -o resnet50-binary/1/model.xml
+curl -L --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.bin -o resnet50-binary/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.xml -o resnet50-binary/1/model.xml
+chmod -R 755 resnet50-binary
 ```
 
 ### Prepare the server

demos/bert_question_answering/python/Dockerfile

@@ -15,7 +15,7 @@
 #
 
 
-FROM ubuntu:20.04
+FROM ubuntu:22.04
 RUN apt update && apt install -y python3-pip && apt-get clean && rm -rf /var/lib/apt/lists/*
 WORKDIR /bert
 COPY bert_question_answering.py tokens_bert.py html_reader.py requirements.txt ./

demos/face_detection/python/README.md

@@ -71,14 +71,15 @@ optional arguments:
 Start the OVMS service locally:
 
 ```console
-curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/face-detection-retail-0004/FP32/face-detection-retail-0004.bin -o model/1/face-detection-retail-0004.bin
-curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/face-detection-retail-0004/FP32/face-detection-retail-0004.xml -o model/1/face-detection-retail-0004.xml
+curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/face-detection-retail-0004/FP32/face-detection-retail-0004.bin -o model/1/face-detection-retail-0004.bin
+curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/face-detection-retail-0004/FP32/face-detection-retail-0004.xml -o model/1/face-detection-retail-0004.xml
 ```
 
 ## Deploying OVMS
 
 :::{dropdown} **Deploying with Docker**
 ```bash
+chmod -R 755 model
 docker run --rm -d -u $(id -u):$(id -g) -v `pwd`/model:/models -p 9000:9000 openvino/model_server:latest --model_path /models --model_name face-detection --port 9000  --shape auto
 ```
 :::

demos/horizontal_text_detection/python/README.md

@@ -7,7 +7,7 @@ The client can work efficiently also over slow internet connection with long lat
 ### Download horizontal text detection model from OpenVINO Model Zoo
 
 ```bash
-curl -L --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/horizontal-text-detection-0001/FP32/horizontal-text-detection-0001.bin -o horizontal-text-detection-0001/1/horizontal-text-detection-0001.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/horizontal-text-detection-0001/FP32/horizontal-text-detection-0001.xml -o horizontal-text-detection-0001/1/horizontal-text-detection-0001.xml
+curl -L --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/horizontal-text-detection-0001/FP32/horizontal-text-detection-0001.bin -o horizontal-text-detection-0001/1/horizontal-text-detection-0001.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/horizontal-text-detection-0001/FP32/horizontal-text-detection-0001.xml -o horizontal-text-detection-0001/1/horizontal-text-detection-0001.xml
 ```
 
 ```bash
@@ -20,6 +20,7 @@ horizontal-text-detection-0001
 
 ### Start the OVMS container:
 ```bash
+chmod -R 755 horizontal-text-detection-0001
 docker run -d -u $(id -u):$(id -g) -v $(pwd)/horizontal-text-detection-0001:/model -p 9000:9000 openvino/model_server:latest \
 --model_path /model --model_name text --port 9000 --layout NHWC:NCHW
 ```

demos/image_classification/cpp/README.md

@@ -18,7 +18,7 @@ make
 
 Start OVMS with resnet50-binary model:
 ```bash
-curl -L --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.bin -o resnet50-binary/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.xml -o resnet50-binary/1/model.xml
+curl -L --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.bin -o resnet50-binary/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/resnet50-binary-0001/FP32-INT1/resnet50-binary-0001.xml -o resnet50-binary/1/model.xml
 ```
 
 # Client requesting prediction synchronously
@@ -30,6 +30,7 @@ The client also tests server responses for accuracy.
 
 ## Prepare the server
 ```bash
+chmod -R 755 resnet50-binary
 docker run -d -u $(id -u):$(id -g) -v $(pwd)/resnet50-binary:/model -p 9001:9001 openvino/model_server:latest \
 --model_path /model --model_name resnet --port 9001 --layout NHWC:NCHW
 ```

demos/mediapipe/holistic_tracking/README.md

@@ -50,17 +50,25 @@ The models setup should look like this
 │   └── 1
 │       └── hand_recrop.tflite
 ├── holistic_tracking.pbtxt
+├── iris_landmark
+│   └── 1
+│       └── iris_landmark.tflite
+├── mediapipe
+│   └── modules
+│       └── hand_landmark
+│           └── handedness.txt
+├── mediapipe_holistic_tracking.py
 ├── palm_detection_full
 │   └── 1
 │       └── palm_detection_full.tflite
 ├── pose_detection
 │   └── 1
 │       └── pose_detection.tflite
-└── pose_landmark_full
-    └── 1
-        └── pose_landmark_full.tflite
-
-
+├── pose_landmark_full
+│   └── 1
+│       └── pose_landmark_full.tflite
+├── README.md
+└── requirements.txt
 ```
 ## Server Deployment
 :::{dropdown} **Deploying with Docker**
@@ -71,6 +79,7 @@ docker pull openvino/model_server:latest
 
 ```
 ```bash
+chmod -R 755 .
 docker run -d -v $PWD/mediapipe:/mediapipe -v $PWD:/models -p 9000:9000 openvino/model_server:latest --config_path /models/config_holistic.json --port 9000
 ```
 :::

demos/mediapipe/image_classification/README.md

@@ -60,6 +60,7 @@ curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_z
 ## Server Deployment
 :::{dropdown} **Deploying with Docker**
 ```bash
+chmod -R 755 resnetMediapipe
 docker run -d -v $PWD:/mediapipe -p 9000:9000 openvino/model_server:latest --config_path /mediapipe/config.json --port 9000
 ```
 :::

demos/mediapipe/object_detection/README.md

@@ -28,6 +28,7 @@ python mediapipe_object_detection.py --download_models
 ## Server Deployment
 :::{dropdown} **Deploying with Docker**
 ```bash
+sed -i 's;ssdlite_object_detection_labelmap.txt;/demo/ssdlite_object_detection_labelmap.txt;g' graph.pbtxt
 docker run -d -v $PWD:/demo -p 9000:9000 openvino/model_server:latest --config_path /demo/config.json --port 9000
 ```
 :::

demos/optical_character_recognition/python/README.md

@@ -93,8 +93,8 @@ Converted east-resnet50 model will have the following interface:
 ### Text-recognition model
 Download [text-recognition](https://github.com/openvinotoolkit/open_model_zoo/tree/2022.1.0/models/intel/text-recognition-0014) model and store it in `${PWD}/text-recognition/1` folder.
 ```bash
-curl -L --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/text-recognition-0014/FP32/text-recognition-0014.bin -o text-recognition/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/text-recognition-0014/FP32/text-recognition-0014.xml -o text-recognition/1/model.xml
-chmod -R 755 text-recognition/
+curl -L --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/text-recognition-0014/FP32/text-recognition-0014.bin -o text-recognition/1/model.bin https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/text-recognition-0014/FP32/text-recognition-0014.xml -o text-recognition/1/model.xml
+chmod -R 755 text-recognition
 ```
 
 text-recognition model will have the following interface:

demos/person_vehicle_bike_detection/python/README.md

@@ -10,14 +10,15 @@ The purpose of this demo is to show how to send data from multiple sources (came
 
 ## Prepare model files
 ```console
-curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.bin -o model/1/person-vehicle-bike-detection-crossroad-0078.bin
+curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.bin -o model/1/person-vehicle-bike-detection-crossroad-0078.bin
 
-curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml -o model/1/person-vehicle-bike-detection-crossroad-0078.xml
+curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml -o model/1/person-vehicle-bike-detection-crossroad-0078.xml
 ```
 
 ## Server Deployment
 :::{dropdown} **Deploying with Docker**
 ```bash
+chmod -R 755 model
 docker run -d -v `pwd`/model:/models -p 9000:9000 openvino/model_server:latest --model_path /models --model_name person-vehicle-detection --port 9000 --shape auto
 ```
 :::

demos/python_demos/Dockerfile.ubuntu

@@ -20,6 +20,7 @@ ENV LD_LIBRARY_PATH=/ovms/lib
 ENV PYTHONPATH=/ovms/lib/python
 RUN apt update && apt install -y python3-pip git
 COPY requirements.txt .
+ENV PIP_BREAK_SYSTEM_PACKAGES=1
 RUN pip3 install -r requirements.txt
 USER ovms
 ENTRYPOINT [ "/ovms/bin/ovms" ]

demos/single_face_analysis_pipeline/python/README.md

@@ -32,11 +32,10 @@ You can prepare the workspace that contains all the above by just running
 You can prepare the workspace that contains all the above by running
 
 ```console
-	curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -o workspace/age-gender-recognition-retail-0013/1/age-gender-recognition-retail-0013.xml
-	curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.bin -o workspace/age-gender-recognition-retail-0013/1/age-gender-recognition-retail-0013.bin
-	curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml -o workspace/emotions-recognition-retail-0003/1/emotions-recognition-retail-0003.xml
-	curl --create-dir https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.bin -o workspace/emotions-recognition-retail-0003/1/emotions-recognition-retail-0003.bin
-	cp config.json workspace/.
+	curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.xml -o workspace/age-gender-recognition-retail-0013/1/age-gender-recognition-retail-0013.xml
+	curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013.bin -o workspace/age-gender-recognition-retail-0013/1/age-gender-recognition-retail-0013.bin
+	curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.xml -o workspace/emotions-recognition-retail-0003/1/emotions-recognition-retail-0003.xml
+	curl --create-dirs https://storage.openvinotoolkit.org/repositories/open_model_zoo/2022.1/models_bin/2/emotions-recognition-retail-0003/FP32/emotions-recognition-retail-0003.bin -o workspace/emotions-recognition-retail-0003/1/emotions-recognition-retail-0003.bin
 ```
 
 ### Final directory structure
@@ -48,7 +47,6 @@ workspace/
 │   └── 1
 │       ├── age-gender-recognition-retail-0013.bin
 │       └── age-gender-recognition-retail-0013.xml
-├── config.json
 └── emotions-recognition-retail-0003
     └── 1
         ├── emotions-recognition-retail-0003.bin
@@ -58,6 +56,8 @@ workspace/
 ## Server Deployment
 :::{dropdown} **Deploying with Docker**
 ```bash
+cp config.json workspace/.
+chmod -R 755 workspace
 docker run -p 9000:9000 -d -v ${PWD}/workspace:/workspace openvino/model_server --config_path /workspace/config.json --port 9000
 ```
 :::
@@ -70,6 +70,7 @@ Assuming you have unpacked model server package, make sure to:
 as mentioned in [deployment guide](../../../docs/deploying_server_baremetal.md), in every new shell that will start OpenVINO Model Server.
 ```bat
 cd demos\single_face_analysis_pipeline\python
+copy config.json workspace
 ovms --config_path workspace/config.json --port 9001
 ```
 :::

demos/using_onnx_model/python/Makefile

@@ -20,13 +20,13 @@ default: client_preprocessing
 
 client_preprocessing:
 # Download ONNX ResNet50 model
-	curl --fail -L --create-dir https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet50-caffe2-v1-9.onnx -o workspace/resnet50-onnx/1/resnet50-caffe2-v1-9.onnx
+	curl --fail -L --create-dirs https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet50-caffe2-v1-9.onnx -o workspace/resnet50-onnx/1/resnet50-caffe2-v1-9.onnx
 
 BASE_OS?=ubuntu
 
 server_preprocessing:
 # Download ONNX ResNet50 model
-	curl --fail -L --create-dir https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet50-caffe2-v1-9.onnx -o workspace/resnet50-onnx/1/resnet50-caffe2-v1-9.onnx
+	curl --fail -L --create-dirs https://github.com/onnx/models/raw/main/validated/vision/classification/resnet/model/resnet50-caffe2-v1-9.onnx -o workspace/resnet50-onnx/1/resnet50-caffe2-v1-9.onnx
 # Build custom node
 	cd ../../../src/custom_nodes && \
 	make BASE_OS=${BASE_OS} NODES=image_transformation && \

docs/ovms_quickstart.md

@@ -50,8 +50,8 @@ docker pull openvino/model_server:latest
 Store components of the model in the `model/1` directory. Here are example commands pulling an object detection model from Kaggle:
 
 ```console
-curl --create-dir https://www.kaggle.com/api/v1/models/tensorflow/faster-rcnn-resnet-v1/tensorFlow2/faster-rcnn-resnet50-v1-640x640/1/download -o model/1/1.tar.gz
-tar xzf 1.tar.gz -C model/1
+curl -L --create-dirs https://www.kaggle.com/api/v1/models/tensorflow/faster-rcnn-resnet-v1/tensorFlow2/faster-rcnn-resnet50-v1-640x640/1/download -o model/1/1.tar.gz
+tar xzf model/1/1.tar.gz -C model/1
 ```
 
 OpenVINO Model Server expects a particular folder structure for models - in this case `model` directory has the following content:
@@ -73,6 +73,7 @@ For more information about the directory structure and how to deploy multiple mo
 ### Step 4: Start the Model Server
 :::{dropdown} **Deploying with Docker**
 ```bash
+chmod -R 755 model
 docker run -d -u $(id -u) --rm -v ${PWD}/model:/model -p 9000:9000 openvino/model_server:latest --model_name faster_rcnn --model_path /model --port 9000
 ```
 

third_party/opencv/install_opencv.sh

@@ -42,7 +42,7 @@ fi
 #===================================================================================================
 # OpenCV installation
 
-if [ "$os" == "ubuntu24.04" ] || [ "$os" == "ubuntu22.04" ] ; then
+if [ "$os" == "ubuntu24.04" ] || [ "$os" == "ubuntu22.04" ]  || [ "$os" == "ubuntu20.04" ] ; then
     export DEBIAN_FRONTEND=noninteractive
     apt update && apt install -y build-essential git cmake \
         && rm -rf /var/lib/apt/lists/*