HOG detector also must return the rectangles of the detections.
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.gitignore
vendored
13
.gitignore
vendored
@ -28,12 +28,11 @@ missing
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mkinstalldirs
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modules
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run-tests.php
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tests/*/*.diff
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tests/*/*.out
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tests/*/*.php
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tests/*/*.exp
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tests/*/*.log
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tests/*/*.sh
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tests/*.diff
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tests/*.out
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tests/*.php
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tests/*.exp
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tests/*.log
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tests/*.sh
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.idea
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cmake-build-debug
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@ -100,9 +100,8 @@ If you want to use HOG based approach:
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<?php
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// face detection
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$faceCount = dlib_face_detection("~/a.jpg");
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// how mary face in the picture.
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var_dump($faceCount);
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detected_faces = dlib_face_detection("image.jpg");
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// $detected_faces is indexed array, where values are assoc arrays with "top", "bottom", "left" and "right" values
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```
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If you want to use CNN approach (and CNN model):
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@ -31,7 +31,7 @@ extern "C" {
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extern zend_module_entry pdlib_module_entry;
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#define phpext_pdlib_ptr &pdlib_module_entry
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#define PHP_PDLIB_VERSION "0.1.0" /* Replace with version number for your extension */
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#define PHP_PDLIB_VERSION "1.0.1" /* Replace with version number for your extension */
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#ifdef PHP_WIN32
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# define PHP_PDLIB_API __declspec(dllexport)
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@ -15,7 +15,7 @@ PHP_FUNCTION(dlib_face_detection)
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char *img_path;
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size_t img_path_len;
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if(zend_parse_parameters(ZEND_NUM_ARGS(), "s", &img_path, &img_path_len) == FAILURE){
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if (zend_parse_parameters(ZEND_NUM_ARGS(), "s", &img_path, &img_path_len) == FAILURE) {
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RETURN_FALSE;
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}
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try {
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@ -24,9 +24,20 @@ PHP_FUNCTION(dlib_face_detection)
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array2d<unsigned char> img;
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load_image(img, img_path);
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pyramid_up(img);
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array_init(return_value);
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std::vector<rectangle> dets = detector(img);
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RETURN_LONG(dets.size());
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for (unsigned long i = 0; i < dets.size(); ++i) {
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zval rect_arr;
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array_init(&rect_arr);
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add_assoc_long(&rect_arr, "left", dets[i].left());
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add_assoc_long(&rect_arr, "top", dets[i].top());
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add_assoc_long(&rect_arr, "right", dets[i].right());
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add_assoc_long(&rect_arr, "bottom", dets[i].bottom());
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// Add this assoc array to returned array
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//
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add_next_index_zval(return_value, &rect_arr);
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}
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}
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catch (exception& e)
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{
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18
tests/dlib_face_detection.phpt
Normal file
18
tests/dlib_face_detection.phpt
Normal file
@ -0,0 +1,18 @@
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--TEST--
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Frontal face detection.
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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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printf("Detection\n");
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$detected_faces = dlib_face_detection(__DIR__ . "/lenna.jpg");
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printf("Faces found = %d\n", count($detected_faces));
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foreach($detected_faces as $index => $detected_face) {
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printf("Face[%d] in bounding box (left=%d, top=%d, right=%d, bottom=%d)\n", $index,
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$detected_face["left"], $detected_face["top"], $detected_face["right"], $detected_face["bottom"]);
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}
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?>
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--EXPECT--
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Detection
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Faces found = 1
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Face[0] in bounding box (left=214, top=194, right=393, bottom=373)
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