Release 0.1.0

.dockerignore

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+/.git
+/share
+/data
+/media
+/.env
+/.vscode
+/db.sqlite3
+/keys

.gitignore

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+# Project Specific
+/data/
+/share/
+/static/
+/db.sqlite3
+/.env
+/keys
+/logs
+
+# Ignore temporary files
+docker-compose.override.yml
+/.vscode
+__pycache__
+*.pyc
+._*

CONTRIBUTING.md

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+# How to contribute to Computer Vision Annotation Tool (CVAT)
+
+When contributing to this repository, please first discuss the change you wish to make via issue,
+email, or any other method with the owners of this repository before making a change.

Dockerfile

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+FROM ubuntu:16.04
+
+ARG http_proxy
+ARG https_proxy
+ARG no_proxy
+
+ENV TERM=xterm \
+    http_proxy=${http_proxy}   \
+    https_proxy=${https_proxy} \
+    no_proxy=${no_proxy}
+
+ENV LANG='C.UTF-8'  \
+    LC_ALL='C.UTF-8'
+
+ARG USER
+ARG TF_ANNOTATION
+ENV TF_ANNOTATION=${TF_ANNOTATION}
+ARG DJANGO_CONFIGURATION
+ENV DJANGO_CONFIGURATION=${DJANGO_CONFIGURATION}
+
+# Install necessary apt packages
+RUN apt-get update && \
+    apt-get install -yq \
+        python-software-properties \
+        software-properties-common \
+        wget && \
+    add-apt-repository ppa:mc3man/xerus-media -y && \
+    add-apt-repository ppa:mc3man/gstffmpeg-keep -y && \
+    apt-get update && \
+    DEBIAN_FRONTEND=noninteractive apt-get install -yq \
+        apache2 \
+        apache2-dev \
+        libapache2-mod-xsendfile \
+        supervisor \
+        ffmpeg \
+        gstreamer0.10-ffmpeg \
+        libldap2-dev \
+        libsasl2-dev \
+        python3-dev \
+        python3-pip \
+        unzip \
+        unrar \
+        p7zip-full \
+        vim && \
+    rm -rf /var/lib/apt/lists/*
+
+# Add a non-root user
+ENV USER=${USER}
+ENV HOME /home/${USER}
+WORKDIR ${HOME}
+RUN adduser --shell /bin/bash --disabled-password --gecos "" ${USER}
+
+# Install tf annotation if need
+COPY cvat/apps/tf_annotation/docker_setup_tf_annotation.sh /tmp/tf_annotation/
+COPY cvat/apps/tf_annotation/requirements.txt /tmp/tf_annotation/
+ENV TF_ANNOTATION_MODEL_PATH=${HOME}/rcnn/frozen_inference_graph.pb
+
+RUN if [ "$TF_ANNOTATION" = "yes" ]; then \
+        /tmp/tf_annotation/docker_setup_tf_annotation.sh; \
+    fi
+
+ARG WITH_TESTS
+RUN if [ "$WITH_TESTS" = "yes" ]; then \
+        wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - && \
+        echo 'deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main' | tee /etc/apt/sources.list.d/google-chrome.list && \
+        wget -qO- https://deb.nodesource.com/setup_9.x | bash - && \
+        apt-get update && \
+        DEBIAN_FRONTEND=noninteractive apt-get install -yq \
+            google-chrome-stable \
+            nodejs && \
+        rm -rf /var/lib/apt/lists/*; \
+        mkdir tests && cd tests && npm install \
+            eslint \
+            eslint-detailed-reporter \
+            karma \
+            karma-chrome-launcher \
+            karma-coverage \
+            karma-junit-reporter \
+            karma-qunit \
+            qunit; \
+        echo "export PATH=~/tests/node_modules/.bin:${PATH}" >> ~/.bashrc; \
+    fi
+
+# Install and initialize CVAT, copy all necessary files
+COPY cvat/requirements/ /tmp/requirements/
+COPY supervisord.conf mod_wsgi.conf wait-for-it.sh manage.py ${HOME}/
+RUN  pip3 install --no-cache-dir -r /tmp/requirements/${DJANGO_CONFIGURATION}.txt
+COPY cvat/ ${HOME}/cvat
+COPY tests ${HOME}/tests
+RUN  chown -R ${USER}:${USER} .
+
+# RUN all commands below as 'django' user
+USER ${USER}
+
+RUN mkdir data share media keys logs /tmp/supervisord
+RUN python3 manage.py collectstatic
+
+EXPOSE 8080 8443
+ENTRYPOINT ["/usr/bin/supervisord"]

LICENSE

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+MIT License
+
+Copyright (c) 2018 annotation
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Computer Vision Annotation Tool (CVAT)
+
+CVAT is completely re-designed and re-implemented version of [Video Annotation Tool from Irvine, California](http://carlvondrick.com/vatic/) tool. It is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.
+
+## LICENSE
+
+Code released under the [MIT License](https://opensource.org/licenses/MIT).
+
+## INSTALLATION
+
+These instructions below should work for Ubuntu 16.04. Probably it will work on other OSes as well with minor modifications.
+
+### Install [Docker CE](https://www.docker.com/community-edition) or [Docker EE](https://www.docker.com/enterprise-edition) from official site
+
+Please read official manual [here](https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/).
+
+### Install the latest driver for your graphics card
+
+The step is necessary only to run tf_annotation app. If you don't have a Nvidia GPU you can skip the step.
+
+```bash
+sudo add-apt-repository ppa:graphics-drivers/ppa
+sudo apt-get update
+sudo apt-cache search nvidia-*   # find latest nvidia driver
+sudo apt-get install nvidia-*    # install the nvidia driver
+sudo apt-get install mesa-common-dev
+sudo apt-get install freeglut3-dev
+sudo apt-get install nvidia-modprobe
+```
+
+Reboot your PC and verify installation by `nvidia-smi` command.
+
+### Install [Nvidia-Docker](https://github.com/NVIDIA/nvidia-docker)
+
+The step is necessary only to run tf_annotation app. If you don't have a Nvidia GPU you can skip the step. See detailed installation instructions on repository page.
+
+### Install docker-compose (1.19.0 or newer)
+
+```bash
+sudo pip install docker-compose
+```
+
+### Build docker images
+
+To build all necessary docker images run `docker-compose build` command. By default, in production mode the tool uses PostgreSQL as database, Redis for caching.
+
+### Run containers without tf_annotation app
+
+To start all containers run `docker-compose up -d` command. Go to [localhost:8080](http://localhost:8080/). You should see a login page.
+
+### Run containers with tf_annotation app
+
+If you would like to enable tf_annotation app first of all be sure that nvidia-driver, nvidia-docker and docker-compose>=1.19.0 are installed properly (see instructions above) and `docker info | grep 'Runtimes'` output contains `nvidia`.
+
+Run following command:
+```bash
+docker-compose -f docker-compose.yml -f docker-compose.nvidia.yml up -d --build
+```
+
+### Create superuser account
+
+You can [register a user](http://localhost:8080/auth/register) but by default it will not have rights even to view list of tasks. Thus you should create a superuser. The superuser can use admin panel to assign correct groups to the user. Please use the command below:
+
+```bash
+docker exec -it cvat sh -c '/usr/bin/python3 ~/manage.py createsuperuser'
+```
+
+Type your login/password for the superuser [on the login page](http://localhost:8080/auth/login) and press **Login** button. Now you should be able to create a new annotation task. Please read documentation for more details.
+
+### Stop all containers
+
+The command below will stop and remove containers, networks, volumes, and images
+created by `up`.
+
+```bash
+docker-compose down
+```
+
+### Advanced settings
+
+If you want to access you instance of CVAT outside of your localhost you should specify [ALLOWED_HOSTS](https://docs.djangoproject.com/en/2.0/ref/settings/#allowed-hosts) environment variable. The best way to do that is to create [docker-compose.override.yml](https://docs.docker.com/compose/extends/) and put all your extra settings here.
+
+```yml
+version: "2.3"
+
+services:
+  cvat:
+    environment:
+      ALLOWED_HOSTS: .example.com
+    ports:
+      - "80:8080"
+```
+### Annotation logs
+
+It is possible to proxy annotation logs from client to another server over http. For examlpe you can use Logstash.
+To do that set DJANGO_LOG_SERVER_URL environment variable in cvat section of docker-compose.yml
+file (or add this variable to docker-compose.override.yml).
+
+```yml
+version: "2.3"
+
+services:
+cvat:
+    environment:
+      DJANGO_LOG_SERVER_URL: https://annotation.example.com:5000
+```

cvat/apps/authentication/__init__.py

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+default_app_config = 'cvat.apps.authentication.apps.AuthenticationConfig'

cvat/apps/authentication/admin.py

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+from django.contrib import admin
+
+# Register your models here.

cvat/apps/authentication/apps.py

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+from django.apps import AppConfig
+from django.db.models.signals import post_migrate, post_save
+from .settings.authentication import DJANGO_AUTH_TYPE
+
+class AuthenticationConfig(AppConfig):
+    name = 'cvat.apps.authentication'
+
+    def ready(self):
+        from . import signals
+        from django.contrib.auth.models import User
+
+        post_migrate.connect(signals.create_groups)
+
+        if DJANGO_AUTH_TYPE == 'SIMPLE':
+            post_save.connect(signals.create_user, sender=User, dispatch_uid="create_user")
+
+        import django_auth_ldap.backend
+        django_auth_ldap.backend.populate_user.connect(signals.update_ldap_groups)

cvat/apps/authentication/decorators.py

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+from django.contrib.auth import REDIRECT_FIELD_NAME
+from django.shortcuts import resolve_url, reverse
+from django.http import JsonResponse
+from urllib.parse import urlparse
+from django.contrib.auth.views import redirect_to_login
+
+from functools import wraps
+from django.conf import settings
+
+def login_required(function=None, redirect_field_name=REDIRECT_FIELD_NAME, login_url=None, redirect_methods=['GET']):
+    def decorator(view_func):
+        @wraps(view_func)
+        def _wrapped_view(request, *args, **kwargs):
+            if request.user.is_authenticated:
+                return view_func(request, *args, **kwargs)
+            else:
+                if request.method not in redirect_methods:
+                    return JsonResponse({'login_page_url': reverse('login')}, status=403)
+
+                path = request.build_absolute_uri()
+                resolved_login_url = resolve_url(login_url or settings.LOGIN_URL)
+                # If the login url is the same scheme and net location then just
+                # use the path as the "next" url.
+                login_scheme, login_netloc = urlparse(resolved_login_url)[:2]
+                current_scheme, current_netloc = urlparse(path)[:2]
+                if ((not login_scheme or login_scheme == current_scheme) and
+                        (not login_netloc or login_netloc == current_netloc)):
+                    path = request.get_full_path()
+
+                return redirect_to_login(path, resolved_login_url, redirect_field_name)
+        return _wrapped_view
+    return decorator(function) if function else decorator

cvat/apps/authentication/forms.py

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+from django.contrib.auth.forms import (
+    UsernameField,
+    AuthenticationForm,
+    UserCreationForm,
+)
+from django.utils.translation import gettext, gettext_lazy as _
+from django.contrib.auth.models import User
+
+from django import forms
+
+class AuthForm(AuthenticationForm):
+    username = UsernameField(
+        widget=forms.TextInput(attrs={'autofocus': True, 'placeholder': "Username"}),
+    )
+    password = forms.CharField(
+        label=_("Password"),
+        strip=False,
+        widget=forms.PasswordInput(attrs={'placeholder': "Password"}),
+    )
+
+class NewUserForm(UserCreationForm):
+    username = UsernameField(
+        widget=forms.TextInput(attrs={'autofocus': True, 'placeholder': "Username (required)"}),
+        required=True,
+    )
+
+    first_name = UsernameField(
+        widget=forms.TextInput(attrs={'placeholder': "First name"}),
+        required=False,
+    )
+
+    last_name = UsernameField(
+        widget=forms.TextInput(attrs={'placeholder': "Last name"}),
+        required=False,
+    )
+
+    email = forms.EmailField(
+        widget=forms.EmailInput(attrs={'placeholder': "Email (required)"}),
+        required=True,
+    )
+
+    password1 = forms.CharField(
+        label=_("Password"),
+        strip=False,
+        widget=forms.PasswordInput(attrs={'placeholder': "Password (required)"}),
+    )
+    password2 = forms.CharField(
+        label=_("Password confirmation"),
+        widget=forms.PasswordInput(attrs={'placeholder': "Password confirmation (required)"}),
+        strip=False,
+    )
+
+    class Meta:
+        model = User
+        fields = ('username', 'first_name', 'last_name', 'email', )

cvat/apps/authentication/models.py

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+from django.db import models
+
+# Create your models here.