@ -18,20 +18,21 @@ Next steps should work on clear Ubuntu 18.04.
$ sudo apt-get install -y curl redis-server python3-dev python3-pip python3-venv libldap2-dev libsasl2-dev
```
- Install [Visual Studio Code ](https://code.visualstudio.com/docs/setup/linux#_debian-and-ubuntu-based-distributions ) for development
- Install [Visual Studio Code ](https://code.visualstudio.com/docs/setup/linux#_debian-and-ubuntu-based-distributions )
for development
- Install CVAT on your local host:
- Install CVAT on your local host:
```sh
$ git clone https://github.com/opencv/cvat
$ cd cvat & & mkdir logs keys
$ python3 -m venv .env
$ . .env/bin/activate
$ pip install -U pip wheel
$ pip install -r cvat/requirements/development.txt
$ pip install -r datumaro/requirements.txt
$ python manage.py migrate
$ python manage.py collectstatic
git clone https://github.com/opencv/cvat
cd cvat & & mkdir logs keys
python3 -m venv .env
. .env/bin/activate
pip install -U pip wheel
pip install -r cvat/requirements/development.txt
pip install -r datumaro/requirements.txt
python manage.py migrate
python manage.py collectstatic
```
- Create a super user for CVAT:
@ -44,21 +45,96 @@ Password: ***
Password (again): ** *
```
- Install UI packages and start UI debug server:
```sh
cd cvat-core & & npm install
cd ../cvat-ui & & npm install
npm run start
```
- Run Visual Studio Code from the virtual environment
```
$ code .
```sh
code .
```
- Inside Visual Studio Code install [Debugger for Chrome ](https://marketplace.visualstudio.com/items?itemName=msjsdiag.debugger-for-chrome ) and [Python ](https://marketplace.visualstudio.com/items?itemName=ms-python.python ) extensions
- Inside Visual Studio Code install [Debugger for Chrome ](https://marketplace.visualstudio.com/items?itemName=msjsdiag.debugger-for-chrome ) and [Python ](https://marketplace.visualstudio.com/items?itemName=ms-python.python ) extensions
- Reload Visual Studio Code
- Reload Visual Studio Code
- Select `server: debug` configuration and start debugging (F5)
- Select `server: debug` configuration and start it (F5) to run REST server and its workers
You have done! Now it is possible to insert breakpoints and debug server and client of the tool.
## JavaScript coding style
## How to setup additional components in development environment
### Automatic annotation
- Install OpenVINO on your host machine according to instructions from
[OpenVINO website ](https://docs.openvinotoolkit.org/latest/index.html )
- Add some environment variables (copy code below to the end of ``.env/bin/activate`` file):
```sh
source /opt/intel/openvino/bin/setupvars.sh
export OPENVINO_TOOLKIT="yes"
export IE_PLUGINS_PATH="/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64"
export OpenCV_DIR="/usr/local/lib/cmake/opencv4"
export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/opt/intel/openvino/inference_engine/lib/intel64"
```
Notice 1: be sure that these paths actually exist. Some of them can differ in different OpenVINO versions.
Notice 2: you need to deactivate, activate again and restart vs code
to changes in ``.env/bin/activate`` file are active.
### ReID algorithm
- Perform all steps in the automatic annotation section
- Download ReID model and save it somewhere:
```sh
wget https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml -O reid.xml
wget https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.bin -O reid.bin
```
- Add next line to ``.env/bin/activate``:
```sh
export REID_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files
```
### Deep Extreme Cut
- Perform all steps in the automatic annotation section
- Download Deep Extreme Cut model, unpack it, and save somewhere:
```sh
wget https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip -O dextr.zip
unzip dextr.zip
```
- Add next lines to ``.env/bin/activate``:
```sh
export WITH_DEXTR="yes"
export DEXTR_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files
```
### Tensorflow RCNN
- Download RCNN model, unpack it, and save it somewhere:
```sh
wget -O model.tar.gz http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz & & \
tar -xzf model.tar.gz
```
- Add next lines to ``.env/bin/activate``:
```sh
export TF_ANNOTATION="yes"
export TF_ANNOTATION_MODEL_PATH="/path/to/the/model/graph" # truncate .pb extension
```
### Tensorflow Mask RCNN
- Download Mask RCNN model, and save it somewhere:
```sh
wget https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
```
- Add next lines to ``.env/bin/activate``:
```sh
export AUTO_SEGMENTATION="yes"
export AUTO_SEGMENTATION_PATH="/path/to/dir" # dir must contain mask_rcnn_coco.h5 file
```
## JavaScript/Typescript coding style
We use the [Airbnb JavaScript Style Guide ](https://github.com/airbnb/javascript ) for JavaScript code with a
litle exception - we prefere 4 spaces for indentation of nested blocks and statements.
Nikita Manovich
6 years ago
committed by
GitHub