Download the PHP package bubnov/tenserflow-bundle without Composer

BubnovTensorFlowBundle

This bundle provides service and command to recognize image. Both will return RecognizeResult object.

Requirements

• PHP 5.4 or higher
• symfony > 2.3

Installation

To install bubnov/tenserflow-bundle with Composer just add the following to your 'composer.json' file:

{
    ...
    "scripts": {
        "post-install-cmd": [ "TensorFlowBinaryInstaller::install" ],
        "post-update-cmd":  [ "TensorFlowBinaryInstaller::update" ]
    },
    ...
}

The next thing you should do is to install the bundle by executing the following command:

Finally, add the bundle to the registerBundles function of the AppKernel class in the 'app/AppKernel.php' file:

public function registerBundles()
{
    $bundles = array(
        ...
        new Bubnov\TensorFlowBundle\BubnovTensorFlowBundle(),
        ...
    );

Usage

When you want to use service from the controller you can simply call:

/* @var $result \Bubnov\TensorFlowBundle\Util\RecognizerResult */
$result = $this->get('tenserflow.recognizer')->recognize('some/path/to/image'); //Returns RecognizerResult object

/* @var $label \Bubnov\TensorFlowBundle\Util\Label */
$label = $result->getTopLabel();           // Returns Label with highest score
$label->getName();                         // Returns label`s name
$label->getScore();                        // Returns label`s score

$labels = $result->getLabels();            // Returns array of Label in order of score.
$labels = $result->getLabelsScored(0.8);   // Returns array of Label in order of score with score more or equal 0.8

/**
 * Find if there are any labels in the Dictionary
 */
$dict = new \Bubnov\TensorFlowBundle\Util\Dictionary(['apple', 'fruit']);
$dict->add('blueberry');                         // Add string to the dictionary

$scoreThreshold = 0.7;                           // Optional threshold
$dict->match($result, $scoreThreshold);          // Return true or false

Where is also the command for testing images "bubnov_tensorflow:recognize". Usage:

bubnov_tensorflow:recognize /absolute/path/to/image.ext

Command will return multiline string with labels and scores

To create dictionary with common labels to the same images in some directory, you can call:

find /path/to/dir/with/images -type f | parallel ./bin/console bubnov_tensorflow:fill_dict {} --tmpdict /path/to/dict.tmp

This command using GNU parallel. Optional --tmpdict may be omitted - temporary dict file will be saved to /tmp/tensorFlowBundle.dict.tmp After complete, call:

bin/console bubnov_tensorflow:combine_dict --tmpdict /path/to/dict.tmp --dict /path/to/complete.dict

This command will create dictionary with labels and the number of their repetitions in the dict.tmp file. Now you may choose, which labels to include in Dictionary. Optional --dict may be omitted - dict file will be saved to /tmp/tensorFlowBundle.dict Optional --tmpdict may be omitted - temporary dict file will be read from /tmp/tensorFlowBundle.dict.tmp

Configuration

This bundle will work with standalone configuration, but you may redefine some paths. It is optional and not necessary

Credits

This bundle is a wrapper around tenderflow`s label_image binary with tiny updates: https://github.com/tensorflow/tensorflow by The TensorFlow Authors

Bundle code is written by Mikhail Bubnov [email protected] https://github.com/bubnov-mikhail

License

This bundle is under the MIT license.