ImageProcessingTask::prepareImage() - Code Metrics - Inspection of "Merge pull request #142 from matiasdelellis/fix-fa..." - matiasdelellis/facerecognition - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( bd4a48...a13ca6 )

by Branko

created 2019-05-12 22:19 UTC

ImageProcessingTask::prepareImage() A

↳ Parent: ImageProcessingTask

Complexity

Conditions	4
Paths	3

Size

Total Lines	20
Code Lines	13

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	13
CRAP Score	4.0058

Importance

Changes

Metric	Value
cc	4
eloc	13
nc	3
nop	1
dl	0
loc	20
ccs	13
cts	14
cp	0.9286
crap	4.0058
rs	9.8333
c	0
b	0
f	0

<?php
/**
 * @copyright Copyright (c) 2017, Matias De lellis <[email protected]>
 * @copyright Copyright (c) 2018, Branko Kokanovic <[email protected]>
 *
 * @author Branko Kokanovic <[email protected]>
 *
 * @license GNU AGPL version 3 or any later version
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as
 * published by the Free Software Foundation, either version 3 of the
 * License, or (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 *
 */
namespace OCA\FaceRecognition\BackgroundJob\Tasks;

use OCP\Image as OCP_Image;

use OCP\Files\File;
use OCP\Files\Folder;
use OCP\IConfig;
use OCP\ITempManager;
use OCP\IUser;

use OCA\FaceRecognition\BackgroundJob\FaceRecognitionBackgroundTask;
use OCA\FaceRecognition\BackgroundJob\FaceRecognitionContext;
use OCA\FaceRecognition\Db\Face;
use OCA\FaceRecognition\Db\Image;
use OCA\FaceRecognition\Db\ImageMapper;
use OCA\FaceRecognition\Helper\Requirements;
use OCA\FaceRecognition\Migration\AddDefaultFaceModel;

/**
 * Plain old PHP object holding all information
 * that are needed to process all faces from one image
 */
class ImageProcessingContext {
	/** @var string Path to the image being processed */
	private $imagePath;

	/** @var string Path to temporary, resized image */
	private $tempPath;

	/** @var float Ratio of resized image, when scaling it */
	private $ratio;

	/** @var array<Face> All found faces in image */
	private $faces;

	/**
	 * @var bool True if detection should be skipped, but image should be marked as processed.
	 * If this is set, $tempPath and $ratio will be invalid and $faces should be empty array.
	 */
	private $skipDetection;

	public function __construct(string $imagePath, string $tempPath, float $ratio, bool $skipDetection) {
		$this->imagePath = $imagePath;
		$this->tempPath = $tempPath;
		$this->ratio = $ratio;
		$this->faces = array();
		$this->skipDetection = $skipDetection;
	}

	public function getImagePath(): string {
		return $this->imagePath;
	}

	public function getTempPath(): string {
		return $this->tempPath;
	}

	public function getRatio(): float {
		return $this->ratio;
	}

	public function getSkipDetection(): bool {
		return $this->skipDetection;
	}

	/**
	 * Gets all faces
	 *
	 * @return Face[] Array of faces
	 */
	public function getFaces(): array {
		return $this->faces;
	}

	/**
	 * @param array<Face> $faces Array of faces to set
	 */
	public function setFaces($faces) {
		$this->faces = $faces;
	}
}

/**
 * Taks that get all images that are still not processed and processes them.
 * Processing image means that each image is prepared, faces extracted form it,
 * and for each found face - face descriptor is extracted.
 */
class ImageProcessingTask extends FaceRecognitionBackgroundTask {
	/** @var IConfig Config */
	private $config;

	/** @var ImageMapper Image mapper*/
	protected $imageMapper;

	/** @var ITempManager */
	private $tempManager;

	/** @var int|null Maximum image area (cached, so it is not recalculated for each image) */
	private $maxImageAreaCached;

	/**
	 * @param ImageMapper $imageMapper Image mapper
	 */
	public function __construct(IConfig $config, ImageMapper $imageMapper, ITempManager $tempManager) {
		parent::__construct();
		$this->config = $config;
		$this->imageMapper = $imageMapper;
		$this->tempManager = $tempManager;
		$this->maxImageAreaCached = null;
	}

	/**
	 * @inheritdoc
	 */
	public function description() {
		return "Process all images to extract faces";
	}

	/**
	 * @inheritdoc
	 */
	public function execute(FaceRecognitionContext $context) {
		$this->setContext($context);

		$model = intval($this->config->getAppValue('facerecognition', 'model', AddDefaultFaceModel::DEFAULT_FACE_MODEL_ID));
		$requirements = new Requirements($context->appManager, $model);

		$dataDir = rtrim($context->config->getSystemValue('datadirectory', \OC::$SERVERROOT.'/data'), '/');
		$images = $context->propertyBag['images'];

		$cfd = new \CnnFaceDetection($requirements->getFaceDetectionModel());
filter:
    dependency_paths: ["lib/*"]
		$fld = new \FaceLandmarkDetection($requirements->getLandmarksDetectionModel());
filter:
    dependency_paths: ["lib/*"]
		$fr = new \FaceRecognition($requirements->getFaceRecognitionModel());
filter:
    dependency_paths: ["lib/*"]

		$this->logInfo('NOTE: Starting face recognition. If you experience random crashes after this point, please look FAQ at https://github.com/matiasdelellis/facerecognition/wiki/FAQ');

		foreach($images as $image) {
			yield;

			$imageProcessingContext = null;

			$startMillis = round(microtime(true) * 1000);

			try {
				$imageProcessingContext = $this->findFaces($cfd, $dataDir, $image);
				if (($imageProcessingContext !== null) && ($imageProcessingContext->getSkipDetection() === false)) {
					$this->populateDescriptors($fld, $fr, $imageProcessingContext);
				}

				if ($imageProcessingContext === null) {
					continue;
				}

				$endMillis = round(microtime(true) * 1000);
				$duration = max($endMillis - $startMillis, 0);
				$this->imageMapper->imageProcessed($image, $imageProcessingContext->getFaces(), $duration);
			} catch (\Exception $e) {
				if ($e->getMessage() === "std::bad_alloc") {
					throw new \RuntimeException("Not enough memory to run face recognition! Please look FAQ at https://github.com/matiasdelellis/facerecognition/wiki/FAQ");
				}
				$this->imageMapper->imageProcessed($image, array(), 0, $e);
			} finally {
				$this->tempManager->clean();
			}
		}

		return true;
	}

	/**
	 * Given an image, it finds all faces on it.
	 * If image should be skipped, returns null.
	 * If there is any error, throws exception
	 *
	 * @param \CnnFaceDetection $cfd Face detection model
	 * @param string $dataDir Directory where data is stored
	 * @param Image $image Image to find faces on
	 * @return ImageProcessingContext|null Generated context that hold all information needed later for this image
	 */
	private function findFaces(\CnnFaceDetection $cfd, string $dataDir, Image $image) {
		// todo: check if this hits I/O (database, disk...), consider having lazy caching to return user folder from user
		$userFolder = $this->context->rootFolder->getUserFolder($image->user);
		$userRoot = $userFolder->getParent();
		$file = $userRoot->getById($image->file);
		if (empty($file)) {
			$this->logInfo('File with ID ' . $image->file . ' doesn\'t exist anymore, skipping it');
			return null;
		}

		// todo: this concat is wrong with shared files.
		$imagePath = $dataDir . $file[0]->getPath();
		$this->logInfo('Processing image ' . $imagePath);
		$imageProcessingContext = $this->prepareImage($imagePath);
		if ($imageProcessingContext->getSkipDetection() === true) {
			$this->logInfo('Faces found: 0 (image will be skipped because it is too small)');
			return $imageProcessingContext;
		}

		// Detect faces from model
		$facesFound = $cfd->detect($imageProcessingContext->getTempPath());

		// Convert from dictionary of faces to our Face Db Entity
		$faces = array();
		foreach ($facesFound as $faceFound) {
			$face = Face::fromModel($image->getId(), $faceFound);
			$face->normalizeSize($imageProcessingContext->getRatio());
			$faces[] = $face;
		}

		$imageProcessingContext->setFaces($faces);
		$this->logInfo('Faces found: ' . count($faces));

		return $imageProcessingContext;
	}

	/**
	 * Given an image, it will rotate, scale and save image to temp location, ready to be consumed by pdlib.
	 *
	 * @param string $imagePath Path to image on disk
	 *
	 * @return ImageProcessingContext Generated context that hold all information needed later for this image.
	 */
	private function prepareImage(string $imagePath) {
		$image = new OCP_Image(null, $this->context->logger->getLogger(), $this->context->config);
		$image->loadFromFile($imagePath);
		$image->fixOrientation();
		if (!$image->valid()) {
			throw new \RuntimeException("Image is not valid, probably cannot be loaded");
		}

		// Ignore processing of images that are not large enough.
		$minImageSize = intval($this->config->getAppValue('facerecognition', 'min_image_size', '512'));
		if ((imagesx($image->resource()) < $minImageSize) || (imagesy($image->resource()) < $minImageSize)) {
			return new ImageProcessingContext($imagePath, "", -1, true);
		}

		$maxImageArea = $this->getMaxImageArea();
		$ratio = $this->resizeImage($image, $maxImageArea);

		$tempfile = $this->tempManager->getTemporaryFile(pathinfo($imagePath, PATHINFO_EXTENSION));
		$image->save($tempfile);
		return new ImageProcessingContext($imagePath, $tempfile, $ratio, false);
	}

	/**
	 * Resizes the image to reach max image area, but preserving ratio.
	 * Stolen and adopted from OC_Image->resize() (difference is that this returns ratio of resize.)
	 *
	 * @param OC_Image $image Image to resize
filter:
    dependency_paths: ["lib/*"]
	 * @param int $maxImageArea The maximum size of image we can handle (in pixels^2).
	 *
	 * @return float Ratio of resize. 1 if there was no resize
	 */
	public function resizeImage(OCP_Image $image, int $maxImageArea): float {
		if (!$image->valid()) {
			$message = "Image is not valid, probably cannot be loaded";
			$this->logInfo($message);
			throw new \RuntimeException($message);
		}

		$widthOrig = imagesx($image->resource());
		$heightOrig = imagesy($image->resource());
		if (($widthOrig <= 0) || ($heightOrig <= 0)) {
			$message = "Image is having non-positive width or height, cannot continue";
			$this->logInfo($message);
			throw new \RuntimeException($message);
		}

		$areaRatio = $maxImageArea / ($widthOrig * $heightOrig);
		$scaleFactor = sqrt($areaRatio);

		$newWidth = intval(round($widthOrig * $scaleFactor));
		$newHeight = intval(round($heightOrig * $scaleFactor));

		$success = $image->preciseResize($newWidth, $newHeight);
		if ($success === false) {
			throw new \RuntimeException("Error during image resize");
		}

		$this->logDebug(sprintf('Image scaled from %dx%d to %dx%d (since max image area is %d pixels^2)',
			$widthOrig, $heightOrig, $newWidth, $newHeight, $maxImageArea));

		return 1 / $scaleFactor;
	}

	/**
	 * Gets all face descriptors in a given image processing context. Populates "descriptor" in array of faces.
	 *
	 * @param \FaceLandmarkDetection $fld Landmark detection model
	 * @param \FaceRecognition $fr Face recognition model
	 * @param ImageProcessingContext Image processing context
	 */
	private function populateDescriptors(\FaceLandmarkDetection $fld, \FaceRecognition $fr, ImageProcessingContext $imageProcessingContext) {
		$faces = $imageProcessingContext->getFaces();

		foreach($faces as &$face) {
			// For each face, we want to detect landmarks and compute descriptors.
			// We use already resized image (from temp, used to detect faces) for this.
			// (better would be to work with original image, but that will require
			// another orientation fix and another save to the temp)
			// But, since our face coordinates are already changed to align to original image,
			// we need to fix them up to align them to temp image here.
			$normalizedFace = clone $face;
			$normalizedFace->normalizeSize(1.0 / $imageProcessingContext->getRatio());

			// We are getting face landmarks from already prepared (temp) image (resized and with orienation fixed).
			$landmarks = $fld->detect($imageProcessingContext->getTempPath(), array(
				"left" => $normalizedFace->left, "top" => $normalizedFace->top,
				"bottom" => $normalizedFace->bottom, "right" => $normalizedFace->right));
			$descriptor = $fr->computeDescriptor($imageProcessingContext->getTempPath(), $landmarks);
			$face->descriptor = $descriptor;
		}
	}

	/**
	 * Obtains max image area lazily (from cache, or calculates it and puts it to cache)
	 *
	 * @return int Max image area (in pixels^2)
	 */
	private function getMaxImageArea(): int {
		if (!is_null($this->maxImageAreaCached)) {
			return $this->maxImageAreaCached;
		}

		$this->maxImageAreaCached = $this->calculateMaxImageArea();
		return $this->maxImageAreaCached;
	}

	/**
	 * Calculates max image area. This is separate function, as there are several levels of user overrides.
	 *
	 * @return int Max image area (in pixels^2)
	 */
	private function calculateMaxImageArea(): int {
		// First check if we are provided value from command line
		//
		if (
			(array_key_exists('max_image_area', $this->context->propertyBag)) &&
			(!is_null($this->context->propertyBag['max_image_area']))
		) {
				return $this->context->propertyBag['max_image_area'];
		}

		// Check if admin persisted this setting in config and it is valid value
		//
		$maxImageArea = intval($this->config->getAppValue('facerecognition', 'max_image_area', 0));
		if ($maxImageArea > 0) {
			return $maxImageArea;
		}

		// Calculate it from memory
		//
		$allowedMemory = $this->context->propertyBag['memory'];
		// Based on amount on memory PHP have, we will determine maximum amount of image size that we need to scale to.
		// This reasoning and calculations are all based on analysis given here:
		// https://github.com/matiasdelellis/facerecognition/wiki/Performance-analysis-of-DLib%E2%80%99s-CNN-face-detection
		$maxImageArea = intval((0.75 * $allowedMemory) / 1024); // in pixels^2
		return $maxImageArea;
	}
}

1		<?php
2		/**
3		* @copyright Copyright (c) 2017, Matias De lellis <[email protected]>
4		* @copyright Copyright (c) 2018, Branko Kokanovic <[email protected]>
5		*
6		* @author Branko Kokanovic <[email protected]>
7		*
8		* @license GNU AGPL version 3 or any later version
9		*
10		* This program is free software: you can redistribute it and/or modify
11		* it under the terms of the GNU Affero General Public License as
12		* published by the Free Software Foundation, either version 3 of the
13		* License, or (at your option) any later version.
14		*
15		* This program is distributed in the hope that it will be useful,
16		* but WITHOUT ANY WARRANTY; without even the implied warranty of
17		* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18		* GNU Affero General Public License for more details.
19		*
20		* You should have received a copy of the GNU Affero General Public License
21		* along with this program. If not, see <http://www.gnu.org/licenses/>.
22		*
23		*/
24		namespace OCA\FaceRecognition\BackgroundJob\Tasks;
25
26		use OCP\Image as OCP_Image;
27
28		use OCP\Files\File;
29		use OCP\Files\Folder;
30		use OCP\IConfig;
31		use OCP\ITempManager;
32		use OCP\IUser;
33
34		use OCA\FaceRecognition\BackgroundJob\FaceRecognitionBackgroundTask;
35		use OCA\FaceRecognition\BackgroundJob\FaceRecognitionContext;
36		use OCA\FaceRecognition\Db\Face;
37		use OCA\FaceRecognition\Db\Image;
38		use OCA\FaceRecognition\Db\ImageMapper;
39		use OCA\FaceRecognition\Helper\Requirements;
40		use OCA\FaceRecognition\Migration\AddDefaultFaceModel;
41
42		/**
43		* Plain old PHP object holding all information
44		* that are needed to process all faces from one image
45		*/
46		class ImageProcessingContext {
47		/** @var string Path to the image being processed */
48		private $imagePath;
49
50		/** @var string Path to temporary, resized image */
51		private $tempPath;
52
53		/** @var float Ratio of resized image, when scaling it */
54		private $ratio;
55
56		/** @var array<Face> All found faces in image */
57		private $faces;
58
59		/**
60		* @var bool True if detection should be skipped, but image should be marked as processed.
61		* If this is set, $tempPath and $ratio will be invalid and $faces should be empty array.
62		*/
63		private $skipDetection;
64
65	3	public function __construct(string $imagePath, string $tempPath, float $ratio, bool $skipDetection) {
66	3	$this->imagePath = $imagePath;
67	3	$this->tempPath = $tempPath;
68	3	$this->ratio = $ratio;
69	3	$this->faces = array();
70	3	$this->skipDetection = $skipDetection;
71	3	}
72
73		public function getImagePath(): string {
74		return $this->imagePath;
75		}
76
77	2	public function getTempPath(): string {
78	2	return $this->tempPath;
79		}
80
81	1	public function getRatio(): float {
82	1	return $this->ratio;
83		}
84
85	3	public function getSkipDetection(): bool {
86	3	return $this->skipDetection;
87		}
88
89		/**
90		* Gets all faces
91		*
92		* @return Face[] Array of faces
93		*/
94	3	public function getFaces(): array {
95	3	return $this->faces;
96		}
97
98		/**
99		* @param array<Face> $faces Array of faces to set
100		*/
101	2	public function setFaces($faces) {
102	2	$this->faces = $faces;
103	2	}
104		}
105
106		/**
107		* Taks that get all images that are still not processed and processes them.
108		* Processing image means that each image is prepared, faces extracted form it,
109		* and for each found face - face descriptor is extracted.
110		*/
111		class ImageProcessingTask extends FaceRecognitionBackgroundTask {
112		/** @var IConfig Config */
113		private $config;
114
115		/** @var ImageMapper Image mapper*/
116		protected $imageMapper;
117
118		/** @var ITempManager */
119		private $tempManager;
120
121		/** @var int\|null Maximum image area (cached, so it is not recalculated for each image) */
122		private $maxImageAreaCached;
123
124		/**
125		* @param ImageMapper $imageMapper Image mapper
126		*/
127	5	public function __construct(IConfig $config, ImageMapper $imageMapper, ITempManager $tempManager) {
128	5	parent::__construct();
129	5	$this->config = $config;
130	5	$this->imageMapper = $imageMapper;
131	5	$this->tempManager = $tempManager;
132	5	$this->maxImageAreaCached = null;
133	5	}
134
135		/**
136		* @inheritdoc
137		*/
138	4	public function description() {
139	4	return "Process all images to extract faces";
140		}
141
142		/**
143		* @inheritdoc
144		*/
145	4	public function execute(FaceRecognitionContext $context) {
146	4	$this->setContext($context);
147
148	4	$model = intval($this->config->getAppValue('facerecognition', 'model', AddDefaultFaceModel::DEFAULT_FACE_MODEL_ID));
149	4	$requirements = new Requirements($context->appManager, $model);
150
151	4	$dataDir = rtrim($context->config->getSystemValue('datadirectory', \OC::$SERVERROOT.'/data'), '/');
152	4	$images = $context->propertyBag['images'];
153
154	4	$cfd = new \CnnFaceDetection($requirements->getFaceDetectionModel());
		0 ignored issues – show Bug introduced 2018-11-21 10:16 UTC by Report Bug Copy Issue Report The type `CnnFaceDetection` was not found. Maybe you did not declare it correctly or list all dependencies? The issue could also be caused by a filter entry in the build configuration. If the path has been excluded in your configuration, e.g. `excluded_paths: ["lib/"]`, you can move it to the dependency path list as follows: filter: dependency_paths: ["lib/"] For further information see https://scrutinizer-ci.com/docs/tools/php/php-scrutinizer/#list-dependency-paths Loading history...
155	4	$fld = new \FaceLandmarkDetection($requirements->getLandmarksDetectionModel());
		0 ignored issues – show Bug introduced 2018-11-21 10:16 UTC by Report Bug Copy Issue Report The type `FaceLandmarkDetection` was not found. Maybe you did not declare it correctly or list all dependencies? The issue could also be caused by a filter entry in the build configuration. If the path has been excluded in your configuration, e.g. `excluded_paths: ["lib/"]`, you can move it to the dependency path list as follows: filter: dependency_paths: ["lib/"] For further information see https://scrutinizer-ci.com/docs/tools/php/php-scrutinizer/#list-dependency-paths Loading history...
156	4	$fr = new \FaceRecognition($requirements->getFaceRecognitionModel());
		0 ignored issues – show Bug introduced 2018-11-21 10:16 UTC by Report Bug Copy Issue Report The type `FaceRecognition` was not found. Maybe you did not declare it correctly or list all dependencies? The issue could also be caused by a filter entry in the build configuration. If the path has been excluded in your configuration, e.g. `excluded_paths: ["lib/"]`, you can move it to the dependency path list as follows: filter: dependency_paths: ["lib/"] For further information see https://scrutinizer-ci.com/docs/tools/php/php-scrutinizer/#list-dependency-paths Loading history...
157
158	4	$this->logInfo('NOTE: Starting face recognition. If you experience random crashes after this point, please look FAQ at https://github.com/matiasdelellis/facerecognition/wiki/FAQ');
159
160	4	foreach($images as $image) {
161	4	yield;
162
163	4	$imageProcessingContext = null;
		0 ignored issues – show Unused Code introduced 2018-11-21 10:16 UTC by Report Bug Copy Issue Report The assignment to `$imageProcessingContext` is dead and can be removed. Loading history...
164	4	$startMillis = round(microtime(true) * 1000);
165
166		try {
167	4	$imageProcessingContext = $this->findFaces($cfd, $dataDir, $image);
168	3	if (($imageProcessingContext !== null) && ($imageProcessingContext->getSkipDetection() === false)) {
169	2	$this->populateDescriptors($fld, $fr, $imageProcessingContext);
170		}
171
172	3	if ($imageProcessingContext === null) {
173		continue;
174		}
175
176	3	$endMillis = round(microtime(true) * 1000);
177	3	$duration = max($endMillis - $startMillis, 0);
178	3	$this->imageMapper->imageProcessed($image, $imageProcessingContext->getFaces(), $duration);
179	1	} catch (\Exception $e) {
180	1	if ($e->getMessage() === "std::bad_alloc") {
181		throw new \RuntimeException("Not enough memory to run face recognition! Please look FAQ at https://github.com/matiasdelellis/facerecognition/wiki/FAQ");
182		}
183	1	$this->imageMapper->imageProcessed($image, array(), 0, $e);
184	4	} finally {
185	4	$this->tempManager->clean();
186		}
187		}
188
189	4	return true;
190		}
191
192		/**
193		* Given an image, it finds all faces on it.
194		* If image should be skipped, returns null.
195		* If there is any error, throws exception
196		*
197		* @param \CnnFaceDetection $cfd Face detection model
198		* @param string $dataDir Directory where data is stored
199		* @param Image $image Image to find faces on
200		* @return ImageProcessingContext\|null Generated context that hold all information needed later for this image
201		*/
202	4	private function findFaces(\CnnFaceDetection $cfd, string $dataDir, Image $image) {
203		// todo: check if this hits I/O (database, disk...), consider having lazy caching to return user folder from user
204	4	$userFolder = $this->context->rootFolder->getUserFolder($image->user);
205	4	$userRoot = $userFolder->getParent();
206	4	$file = $userRoot->getById($image->file);
207	4	if (empty($file)) {
208		$this->logInfo('File with ID ' . $image->file . ' doesn\'t exist anymore, skipping it');
209		return null;
210		}
211
212		// todo: this concat is wrong with shared files.
213	4	$imagePath = $dataDir . $file[0]->getPath();
214	4	$this->logInfo('Processing image ' . $imagePath);
215	4	$imageProcessingContext = $this->prepareImage($imagePath);
216	3	if ($imageProcessingContext->getSkipDetection() === true) {
217	1	$this->logInfo('Faces found: 0 (image will be skipped because it is too small)');
218	1	return $imageProcessingContext;
219		}
220
221		// Detect faces from model
222	2	$facesFound = $cfd->detect($imageProcessingContext->getTempPath());
223
224		// Convert from dictionary of faces to our Face Db Entity
225	2	$faces = array();
226	2	foreach ($facesFound as $faceFound) {
227	1	$face = Face::fromModel($image->getId(), $faceFound);
228	1	$face->normalizeSize($imageProcessingContext->getRatio());
229	1	$faces[] = $face;
230		}
231
232	2	$imageProcessingContext->setFaces($faces);
233	2	$this->logInfo('Faces found: ' . count($faces));
234
235	2	return $imageProcessingContext;
236		}
237
238		/**
239		* Given an image, it will rotate, scale and save image to temp location, ready to be consumed by pdlib.
240		*
241		* @param string $imagePath Path to image on disk
242		*
243		* @return ImageProcessingContext Generated context that hold all information needed later for this image.
244		*/
245	4	private function prepareImage(string $imagePath) {
246	4	$image = new OCP_Image(null, $this->context->logger->getLogger(), $this->context->config);
247	4	$image->loadFromFile($imagePath);
248	3	$image->fixOrientation();
249	3	if (!$image->valid()) {
250		throw new \RuntimeException("Image is not valid, probably cannot be loaded");
251		}
252
253		// Ignore processing of images that are not large enough.
254	3	$minImageSize = intval($this->config->getAppValue('facerecognition', 'min_image_size', '512'));
255	3	if ((imagesx($image->resource()) < $minImageSize) \|\| (imagesy($image->resource()) < $minImageSize)) {
256	1	return new ImageProcessingContext($imagePath, "", -1, true);
257		}
258
259	2	$maxImageArea = $this->getMaxImageArea();
260	2	$ratio = $this->resizeImage($image, $maxImageArea);
261
262	2	$tempfile = $this->tempManager->getTemporaryFile(pathinfo($imagePath, PATHINFO_EXTENSION));
263	2	$image->save($tempfile);
264	2	return new ImageProcessingContext($imagePath, $tempfile, $ratio, false);
265		}
266
267		/**
268		* Resizes the image to reach max image area, but preserving ratio.
269		* Stolen and adopted from OC_Image->resize() (difference is that this returns ratio of resize.)
270		*
271		* @param OC_Image $image Image to resize
		0 ignored issues – show Bug introduced 2018-12-15 20:35 UTC by Report Bug Copy Issue Report The type `OCA\FaceRecognition\BackgroundJob\Tasks\OC_Image` was not found. Maybe you did not declare it correctly or list all dependencies? The issue could also be caused by a filter entry in the build configuration. If the path has been excluded in your configuration, e.g. `excluded_paths: ["lib/"]`, you can move it to the dependency path list as follows: filter: dependency_paths: ["lib/"] For further information see https://scrutinizer-ci.com/docs/tools/php/php-scrutinizer/#list-dependency-paths Loading history...
272		* @param int $maxImageArea The maximum size of image we can handle (in pixels^2).
273		*
274		* @return float Ratio of resize. 1 if there was no resize
275		*/
276	3	public function resizeImage(OCP_Image $image, int $maxImageArea): float {
277	3	if (!$image->valid()) {
278		$message = "Image is not valid, probably cannot be loaded";
279		$this->logInfo($message);
280		throw new \RuntimeException($message);
281		}
282
283	3	$widthOrig = imagesx($image->resource());
284	3	$heightOrig = imagesy($image->resource());
285	3	if (($widthOrig <= 0) \|\| ($heightOrig <= 0)) {
286		$message = "Image is having non-positive width or height, cannot continue";
287		$this->logInfo($message);
288		throw new \RuntimeException($message);
289		}
290
291	3	$areaRatio = $maxImageArea / ($widthOrig * $heightOrig);
292	3	$scaleFactor = sqrt($areaRatio);
293
294	3	$newWidth = intval(round($widthOrig * $scaleFactor));
295	3	$newHeight = intval(round($heightOrig * $scaleFactor));
296
297	3	$success = $image->preciseResize($newWidth, $newHeight);
298	3	if ($success === false) {
299		throw new \RuntimeException("Error during image resize");
300		}
301
302	3	$this->logDebug(sprintf('Image scaled from %dx%d to %dx%d (since max image area is %d pixels^2)',
303	3	$widthOrig, $heightOrig, $newWidth, $newHeight, $maxImageArea));
304
305	3	return 1 / $scaleFactor;
306		}
307
308		/**
309		* Gets all face descriptors in a given image processing context. Populates "descriptor" in array of faces.
310		*
311		* @param \FaceLandmarkDetection $fld Landmark detection model
312		* @param \FaceRecognition $fr Face recognition model
313		* @param ImageProcessingContext Image processing context
314		*/
315	2	private function populateDescriptors(\FaceLandmarkDetection $fld, \FaceRecognition $fr, ImageProcessingContext $imageProcessingContext) {
316	2	$faces = $imageProcessingContext->getFaces();
317
318	2	foreach($faces as &$face) {
319		// For each face, we want to detect landmarks and compute descriptors.
320		// We use already resized image (from temp, used to detect faces) for this.
321		// (better would be to work with original image, but that will require
322		// another orientation fix and another save to the temp)
323		// But, since our face coordinates are already changed to align to original image,
324		// we need to fix them up to align them to temp image here.
325	1	$normalizedFace = clone $face;
326	1	$normalizedFace->normalizeSize(1.0 / $imageProcessingContext->getRatio());
327
328		// We are getting face landmarks from already prepared (temp) image (resized and with orienation fixed).
329	1	$landmarks = $fld->detect($imageProcessingContext->getTempPath(), array(
330	1	"left" => $normalizedFace->left, "top" => $normalizedFace->top,
331	1	"bottom" => $normalizedFace->bottom, "right" => $normalizedFace->right));
332	1	$descriptor = $fr->computeDescriptor($imageProcessingContext->getTempPath(), $landmarks);
333	1	$face->descriptor = $descriptor;
334		}
335	2	}
336
337		/**
338		* Obtains max image area lazily (from cache, or calculates it and puts it to cache)
339		*
340		* @return int Max image area (in pixels^2)
341		*/
342	2	private function getMaxImageArea(): int {
343	2	if (!is_null($this->maxImageAreaCached)) {
344		return $this->maxImageAreaCached;
345		}
346
347	2	$this->maxImageAreaCached = $this->calculateMaxImageArea();
348	2	return $this->maxImageAreaCached;
349		}
350
351		/**
352		* Calculates max image area. This is separate function, as there are several levels of user overrides.
353		*
354		* @return int Max image area (in pixels^2)
355		*/
356	2	private function calculateMaxImageArea(): int {
357		// First check if we are provided value from command line
358		//
359		if (
360	2	(array_key_exists('max_image_area', $this->context->propertyBag)) &&
361	2	(!is_null($this->context->propertyBag['max_image_area']))
362		) {
363		return $this->context->propertyBag['max_image_area'];
364		}
365
366		// Check if admin persisted this setting in config and it is valid value
367		//
368	2	$maxImageArea = intval($this->config->getAppValue('facerecognition', 'max_image_area', 0));
369	2	if ($maxImageArea > 0) {
370	2	return $maxImageArea;
371		}
372
373		// Calculate it from memory
374		//
375		$allowedMemory = $this->context->propertyBag['memory'];
376		// Based on amount on memory PHP have, we will determine maximum amount of image size that we need to scale to.
377		// This reasoning and calculations are all based on analysis given here:
378		// https://github.com/matiasdelellis/facerecognition/wiki/Performance-analysis-of-DLib%E2%80%99s-CNN-face-detection
379		$maxImageArea = intval((0.75 * $allowedMemory) / 1024); // in pixels^2
380		return $maxImageArea;
381		}
382		}

matiasdelellis / facerecognition

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ImageProcessingTask::prepareImage() A

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