f8cc0e48d3
CNN face detector (deep learning face detection) is modeled as PHP class. Currently, it only has constructor (which loads a model) and detect() method. I tried to make it resamble to Python implementation. Similar to Python, also added support for upsampling. Returned value is array with numbers as keys where number of keys is equal to number of found faced. Each element is associative array that has "top", "left", "right", "bottom" and "detection_confidence" keys. All errors are propagated using exceptions. Added two new error tests. I didn't want to rely on presence of model, so tests are not having great coverage. If we are OK to download models in tests, it would allow us to have far better coverage. What is missing: * Testing with models (should we test that?) * detect_mult method (similar to what Python have; however, I consider that this should not block pushing this change)
16 lines
451 B
PHP
16 lines
451 B
PHP
--TEST--
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Testing CnnFaceDetection constructor without arguments
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--SKIPIF--
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<?php if (!extension_loaded("pdlib")) print "skip"; ?>
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--FILE--
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<?php
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try {
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new CnnFaceDetection();
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} catch (Exception $e) {
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var_dump($e->getMessage());
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}
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?>
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--EXPECT--
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Warning: CnnFaceDetection::__construct() expects exactly 1 parameter, 0 given in /home/branko/pdlib/tests/cnn_face_detection_ctor_error.php on line 3
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string(41) "Unable to parse face_detection_model_path"
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