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@ -66,7 +66,75 @@ npm run start
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You have done! Now it is possible to insert breakpoints and debug server and client of the tool.
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## JavaScript coding style
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## How to setup additional components in development environment
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### Automatic annotation
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- Install OpenVINO on your host machine according to instructions from
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[OpenVINO website](https://docs.openvinotoolkit.org/latest/index.html)
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- Add some environment variables (copy code below to the end of ``.env/bin/activate`` file):
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```sh
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source /opt/intel/openvino/bin/setupvars.sh
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export OPENVINO_TOOLKIT="yes"
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export IE_PLUGINS_PATH="/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64"
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export OpenCV_DIR="/usr/local/lib/cmake/opencv4"
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export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/opt/intel/openvino/inference_engine/lib/intel64"
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```
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Notice 1: be sure that these paths actually exist. Some of them can differ in different OpenVINO versions.
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Notice 2: you need to deactivate, activate again and restart vs code
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to changes in ``.env/bin/activate`` file are active.
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### ReID algorithm
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- Perform all steps in the automatic annotation section
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- Download ReID model and save it somewhere:
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```sh
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wget https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml -O reid.xml
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wget https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.bin -O reid.bin
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```
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- Add next line to ``.env/bin/activate``:
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```sh
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export REID_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files
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```
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### Deep Extreme Cut
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- Perform all steps in the automatic annotation section
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- Download Deep Extreme Cut model, unpack it, and save somewhere:
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```sh
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wget https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip -O dextr.zip
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unzip dextr.zip
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```
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- Add next lines to ``.env/bin/activate``:
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```sh
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export WITH_DEXTR="yes"
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export DEXTR_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files
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```
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### Tensorflow RCNN
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- Download RCNN model, unpack it, and save it somewhere:
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```sh
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wget -O model.tar.gz http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz && \
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tar -xzf model.tar.gz
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```
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- Add next lines to ``.env/bin/activate``:
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```sh
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export TF_ANNOTATION="yes"
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export TF_ANNOTATION_MODEL_PATH="/path/to/the/model/graph" # truncate .pb extension
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```
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### Tensorflow Mask RCNN
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- Download Mask RCNN model, and save it somewhere:
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```sh
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wget https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
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```
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- Add next lines to ``.env/bin/activate``:
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```sh
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export AUTO_SEGMENTATION="yes"
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export AUTO_SEGMENTATION_PATH="/path/to/dir" # dir must contain mask_rcnn_coco.h5 file
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```
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## JavaScript/Typescript coding style
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We use the [Airbnb JavaScript Style Guide](https://github.com/airbnb/javascript) for JavaScript code with a
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litle exception - we prefere 4 spaces for indentation of nested blocks and statements.
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