For detailed steps to install Tensorflow, follow the Tensorflow installation instructions. A typical user can install Tensorflow using one of the following commands:
# For CPU:
pip3 install 'tensorflow'
# For GPU:
pip3 install 'tensorflow-gpu'
Note: currently, we need to install the latest version from source, to avoid using previous versions which relied on tf.contrib (which is now deprecated).
git clone [email protected]:google-research/tf-slim.git
cd tf-slim
pip3 install .
Note that these commands assume you are cloning using SSH. If you are using
HTTPS instead, use git clone https://github.com/google-research/tf-slim.git
instead. See
this link
for more information.
The DELF library uses protobuf (the python
version) to configure feature extraction and its format. You will need the
protoc
compiler, version >= 3.3. The easiest way to get it is to download
directly. For Linux, this can be done as (see
here for other platforms):
wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip
unzip protoc-3.3.0-linux-x86_64.zip
PATH_TO_PROTOC=`pwd`
Install python library dependencies:
pip3 install matplotlib numpy scikit-image scipy
sudo apt-get install python3-tk
Now, clone tensorflow/models
, and install required libraries: (note that the
object_detection
library requires you to add tensorflow/models/research/
to
your PYTHONPATH
, as instructed
here)
git clone [email protected]:tensorflow/models.git
# Setup the object_detection module by editing PYTHONPATH.
cd ..
# From tensorflow/models/research/
export PYTHONPATH=$PYTHONPATH:`pwd`
Note that these commands assume you are cloning using SSH. If you are using
HTTPS instead, use git clone https://github.com/tensorflow/models.git
instead.
See
this link
for more information.
Then, compile DELF's protobufs. Use PATH_TO_PROTOC
as the directory where you
downloaded the protoc
compiler.
# From tensorflow/models/research/delf/
${PATH_TO_PROTOC?}/bin/protoc delf/protos/*.proto --python_out=.
Finally, install the DELF package. This may also install some other dependencies under the hood.
# From tensorflow/models/research/delf/
pip3 install -e . # Install "delf" package.
At this point, running
python3 -c 'import delf'
should just return without complaints. This indicates that the DELF package is loaded successfully.
Issues might be observed if using pip3 install
with -e
option (editable
mode). You may try out to simply remove the -e
from the commands above. Also,
depending on your machine setup, you might need to run the sudo pip3 install
command, that is with a sudo
at the beginning.
The default commands above assume you are cloning using SSH. If you are using
HTTPS instead, use for example git clone https://github.com/tensorflow/models.git
instead of git clone [email protected]:tensorflow/models.git
. See
this link
for more information.