pdlib/tests/face_landmark_detection_ctor_error.phpt

--TEST--
Testing FaceLandmarkDetection constructor without arguments
--SKIPIF--
<?php if (!extension_loaded("pdlib")) print "skip"; ?>
--FILE--
<?php
try {
	new FaceLandmarkDetection();
} catch (Error $e) {
	var_dump($e->getMessage());
}
try {
	new FaceLandmarkDetection("non-existent file");
} catch (Exception $e) {
	var_dump($e->getMessage());
}
?>
--EXPECTF--
string(73) "FaceLandmarkDetection::__construct() expects exactly 1 parameter, 0 given"
string(45) "Unable to open non-existent file for reading."
Landmark detection (custom model and class-based) This change extends existing landmark detection in new ways: 1. Existing logic is hiding HOG model (frontal_face_detector) underneath and user cannot use other models (CNN model, for example). 2. Bounding box is exposed as additional argument, and user can define custom bounding box (which is needed, if image used to detect faces is changed (for example scaled), and we want to crop only face from original image to feed into shape predictor). 3. This approach is class-based, so no need for multiple loadings of shape predictor model (only once, in ctor) 2018-08-25 06:51:46 +08:00			`--TEST--`
			`Testing FaceLandmarkDetection constructor without arguments`
			`--SKIPIF--`
			`<?php if (!extension_loaded("pdlib")) print "skip"; ?>`
			`--FILE--`
			`<?php`
			`try {`
			`new FaceLandmarkDetection();`
Fix and improve reflection - use "p" for path (security check for nul byte) - fix number of args for some methods - add type hinting - throw standard exception (simplify) - fix test suite for PHP 7.0 to 8.0 2020-06-22 22:22:37 +08:00			`} catch (Error $e) {`
Landmark detection (custom model and class-based) This change extends existing landmark detection in new ways: 1. Existing logic is hiding HOG model (frontal_face_detector) underneath and user cannot use other models (CNN model, for example). 2. Bounding box is exposed as additional argument, and user can define custom bounding box (which is needed, if image used to detect faces is changed (for example scaled), and we want to crop only face from original image to feed into shape predictor). 3. This approach is class-based, so no need for multiple loadings of shape predictor model (only once, in ctor) 2018-08-25 06:51:46 +08:00			`var_dump($e->getMessage());`
			`}`
			`try {`
			`new FaceLandmarkDetection("non-existent file");`
			`} catch (Exception $e) {`
			`var_dump($e->getMessage());`
			`}`
			`?>`
Fixing tests, closes #14 2019-11-29 06:14:34 +08:00			`--EXPECTF--`
Fix and improve reflection - use "p" for path (security check for nul byte) - fix number of args for some methods - add type hinting - throw standard exception (simplify) - fix test suite for PHP 7.0 to 8.0 2020-06-22 22:22:37 +08:00			`string(73) "FaceLandmarkDetection::__construct() expects exactly 1 parameter, 0 given"`
Fixing tests, closes #14 2019-11-29 06:14:34 +08:00			`string(45) "Unable to open non-existent file for reading."`