Bump tensorflow from 1.12.3 to 1.15.0 in /cvat/requirements (#968)

* Bump tensorflow from 1.12.3 to 1.15.0 in /cvat/requirements

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.12.3 to 1.15.0.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v1.12.3...v1.15.0)

Signed-off-by: dependabot[bot] <support@github.com>

* Update pip because tensorflow 1.15 cannot not be found.

* Fix a typo (pip -> pip3)

* Replaced pip3 by python3 -m pip.

Dockerfile

@@ -47,7 +47,8 @@ RUN apt-get update && \
         git-core \
         libsm6 \
         libxext6 && \
-    pip3 install -U setuptools && \
+    python3 -m pip install -U pip && \
+    python3 -m pip install -U setuptools && \
     ln -fs /usr/share/zoneinfo/${TZ} /etc/localtime && \
     dpkg-reconfigure -f noninteractive tzdata && \
     add-apt-repository --remove ppa:mc3man/gstffmpeg-keep -y && \
@@ -115,9 +116,9 @@ RUN if [ "$WITH_TESTS" = "yes" ]; then \
 # 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
+RUN python3 -m pip install --no-cache-dir -r /tmp/requirements/${DJANGO_CONFIGURATION}.txt
 # pycocotools package is impossible to install with its dependencies by one pip install command
-RUN pip3 install --no-cache-dir pycocotools==2.0.0
+RUN python3 -m pip install --no-cache-dir pycocotools==2.0.0
 
 # Install git application dependencies
 RUN apt-get update && \
@@ -156,7 +157,7 @@ COPY cvat-core/ ${HOME}/cvat-core
 COPY tests ${HOME}/tests
 COPY datumaro/ ${HOME}/datumaro
 
-RUN sed -r "s/^(.*)#.*$/\1/g" ${HOME}/datumaro/requirements.txt | xargs -n 1 -L 1 pip3 install --no-cache-dir
+RUN sed -r "s/^(.*)#.*$/\1/g" ${HOME}/datumaro/requirements.txt | xargs -n 1 -L 1 python3 -m pip install --no-cache-dir
 
 # Binary option is necessary to correctly apply the patch on Windows platform.
 # https://unix.stackexchange.com/questions/239364/how-to-fix-hunk-1-failed-at-1-different-line-endings-message

components/cuda/install.sh

@@ -33,5 +33,5 @@ apt-get update && apt-get install -y --no-install-recommends --allow-unauthentic
 rm -rf /var/lib/apt/lists/* \
     /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/cuda.list
 
-pip3 uninstall -y tensorflow
-pip3 install --no-cache-dir tensorflow-gpu==1.12.3
+python3 -m pip uninstall -y tensorflow
+python3 -m pip install --no-cache-dir tensorflow-gpu==1.15.0

cvat/apps/documentation/installation.md

@@ -58,7 +58,7 @@ server. Proxy is an advanced topic and it is not covered by the guide.
 
     ```bash
     sudo apt-get install -y python3-pip
-    sudo pip3 install docker-compose
+    sudo python3 -m pip install docker-compose
     ```
 
 -   Clone _CVAT_ source code from the

cvat/requirements/base.txt

@@ -40,7 +40,7 @@ django-rest-auth[with_social]==0.9.5
 cython==0.29.13
 matplotlib==3.0.3
 scikit-image==0.15.0
-tensorflow==1.12.3
+tensorflow==1.15.0
 keras==2.2.5
 opencv-python==4.1.0.25
 h5py==2.9.0

utils/open_model_zoo/yolov3/README.md

@@ -6,17 +6,17 @@ As of OpenVINO 2019 R3, only tensorflow 1.13 and NetworkX 2.3.
 These can be explicitly installed using the following command.
 
 ```bash
-$ pip3 install tensorflow==1.13 networkx==2.3
+python3 -m pip install tensorflow==1.13 networkx==2.3
 ```
 
 
 Additionally, at the time of writing, the model optimizer required an input shape.
 
 ``` bash
-$ python3 mo_tf.py \ 
-          --input_model /path/to/yolo_v3.pb \
-          --tensorflow_use_custom_operations_config $MO_ROOT/extensions/front/tf/yolo_v3.json \
-          --input_shape [1,416,416,3]
+python3 mo_tf.py \
+    --input_model /path/to/yolo_v3.pb \
+    --tensorflow_use_custom_operations_config $MO_ROOT/extensions/front/tf/yolo_v3.json \
+    --input_shape [1,416,416,3]
 ```
 
 [1]: https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html

utils/tfrecords/converter.md

@@ -23,7 +23,7 @@ sudo apt-get install -y --no-install-recommends python3-pip python3-dev
 ```
 
 ``` bash
-pip3 install -r requirements.txt
+python3 -m pip install -r requirements.txt
 ```
 
 ### 2. Install the tensorflow object detection API
@@ -38,12 +38,12 @@ git clone https://github.com/tensorflow/models.git
 ```
 ```bash
 # install some dependencies
-pip3 install --user Cython
-pip3 install --user contextlib2
-pip3 install --user pillow
-pip3 install --user lxml
-pip3 install --user jupyter
-pip3 install --user matplotlib
+python3 -m pip install --user Cython
+python3 -m pip install --user contextlib2
+python3 -m pip install --user pillow
+python3 -m pip install --user lxml
+python3 -m pip install --user jupyter
+python3 -m pip install --user matplotlib
 ```
 ```bash
 # clone and compile the cocoapi