## DELF installation

### Tensorflow

For detailed steps to install Tensorflow, follow the
[Tensorflow installation instructions](https://www.tensorflow.org/install/). A
typical user can install Tensorflow using one of the following commands:

```bash
# For CPU:
pip install 'tensorflow'
# For GPU:
pip install 'tensorflow-gpu'
```

### TF-Slim

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).

```bash
git clone git@github.com:google-research/tf-slim.git
cd tf-slim
pip 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](https://help.github.com/en/github/using-git/which-remote-url-should-i-use)
for more information.

### Protobuf

The DELF library uses [protobuf](https://github.com/google/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](https://github.com/google/protobuf/releases) for other platforms):

```bash
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`
```

### Python dependencies

Install python library dependencies:

```bash
pip install matplotlib numpy scikit-image scipy
sudo apt-get install python-tk
```

### `tensorflow/models`

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](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md))

```bash
git clone git@github.com: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](https://help.github.com/en/github/using-git/which-remote-url-should-i-use)
for more information.

Then, compile DELF's protobufs. Use `PATH_TO_PROTOC` as the directory where you
downloaded the `protoc` compiler.

```bash
# 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.

```bash
# From tensorflow/models/research/delf/
pip install -e . # Install "delf" package.
```

At this point, running

```bash
python -c 'import delf'
```

should just return without complaints. This indicates that the DELF package is
loaded successfully.

### Troubleshooting

#### Python version

Installation issues may happen if multiple python versions are mixed. The
instructions above assume python2.7 version is used; if using python3.X, be sure
to use `pip3` instead of `pip`, `python3-tk` instead of `python-tk`, and all
should work.

#### `pip install`

Issues might be observed if using `pip 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 pip install`
command, that is with a `sudo` at the beginning.

#### Cloning github repositories

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
git@github.com:tensorflow/models.git`. See
[this link](https://help.github.com/en/github/using-git/which-remote-url-should-i-use)
for more information.
