Merge pull request #3 from stalker314314/cnn_face_detection
Adding support for cnn face detectorpull/1/head
goodspb
6 years ago
committed by
GitHub
commit
b17cd7c945
@ -0,0 +1,108 @@
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#include "../php_pdlib.h"
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#include "cnn_face_detection.h"
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#include <zend_exceptions.h>
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#include <dlib/image_processing/frontal_face_detector.h>
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#include <dlib/gui_widgets.h>
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#include <dlib/image_io.h>
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#include <dlib/dnn.h>
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#include <iostream>
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using namespace dlib;
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using namespace std;
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static inline cnn_face_detection *php_cnn_face_detection_from_obj(zend_object *obj) {
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return (cnn_face_detection*)((char*)(obj) - XtOffsetOf(cnn_face_detection, std));
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}
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#define Z_CNN_FACE_DETECTION_P(zv) php_cnn_face_detection_from_obj(Z_OBJ_P((zv)))
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PHP_METHOD(CnnFaceDetection, __construct)
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{
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char *sz_cnn_face_detection_model_path;
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size_t cnn_face_detection_model_path_len;
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cnn_face_detection *cfd = Z_CNN_FACE_DETECTION_P(getThis());
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if (NULL == cfd) {
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php_error_docref(NULL TSRMLS_CC, E_ERROR, "Unable to find obj in CnnFaceDetection::__construct()");
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return;
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}
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if (zend_parse_parameters(ZEND_NUM_ARGS(), "s",
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&sz_cnn_face_detection_model_path, &cnn_face_detection_model_path_len) == FAILURE){
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zend_throw_exception_ex(zend_ce_exception, 0 TSRMLS_CC, "Unable to parse face_detection_model_path");
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return;
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}
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try {
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string cnn_face_detection_model_path(
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sz_cnn_face_detection_model_path, cnn_face_detection_model_path_len);
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net_type *pnet = new net_type;
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deserialize(cnn_face_detection_model_path) >> *pnet;
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cfd->net = pnet;
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} catch (exception& e) {
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zend_throw_exception_ex(zend_ce_exception, 0 TSRMLS_CC, e.what());
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return;
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}
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}
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PHP_METHOD(CnnFaceDetection, detect)
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{
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char *img_path;
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size_t img_path_len;
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long upsample_num = 1;
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if (zend_parse_parameters(ZEND_NUM_ARGS(), "s|l", &img_path, &img_path_len, &upsample_num) == FAILURE){
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zend_throw_exception_ex(zend_ce_exception, 0 TSRMLS_CC, "Unable to parse detect arguments");
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RETURN_FALSE;
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}
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try {
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cnn_face_detection *cfd = Z_CNN_FACE_DETECTION_P(getThis());
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pyramid_down<2> pyr;
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matrix<rgb_pixel> img;
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load_image(img, img_path);
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// Upsampling the image will allow us to detect smaller faces but will cause the
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// program to use more RAM and run longer.
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//
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unsigned int levels = upsample_num;
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while (levels > 0)
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{
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levels--;
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pyramid_up(img, pyr);
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}
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net_type *pnet = cfd->net;
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auto dets = (*pnet)(img);
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int rect_count = 0;
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array_init(return_value);
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// Scale the detection locations back to the original image size
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// if the image was upscaled.
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//
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for (auto&& d: dets) {
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d.rect = pyr.rect_down(d.rect, upsample_num);
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// Create new assoc array with dimensions of found rectt and confidence
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//
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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", d.rect.left());
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add_assoc_long(&rect_arr, "top", d.rect.top());
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add_assoc_long(&rect_arr, "right", d.rect.right());
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add_assoc_long(&rect_arr, "bottom", d.rect.bottom());
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add_assoc_double(&rect_arr, "detection_confidence", d.detection_confidence);
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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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zend_throw_exception_ex(zend_ce_exception, 0 TSRMLS_CC, e.what());
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return;
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}
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}
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@ -0,0 +1,36 @@
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//
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// Created by branko at kokanovic dot org on 2018/7/16.
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//
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#ifndef PHP_DLIB_CNN_FACE_DETECTION_H
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#define PHP_DLIB_CNN_FACE_DETECTION_H
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#include <dlib/dnn.h>
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using namespace dlib;
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template <long num_filters, typename SUBNET> using con5d = con<num_filters,5,5,2,2,SUBNET>;
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template <long num_filters, typename SUBNET> using con5 = con<num_filters,5,5,1,1,SUBNET>;
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template <typename SUBNET> using downsampler = relu<affine<con5d<32, relu<affine<con5d<32, relu<affine<con5d<16,SUBNET>>>>>>>>>;
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template <typename SUBNET> using rcon5 = relu<affine<con5<45,SUBNET>>>;
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using net_type = loss_mmod<con<1,9,9,1,1,rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;
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typedef struct _cnn_face_detection {
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net_type *net;
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zend_object std;
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} cnn_face_detection;
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ZEND_BEGIN_ARG_INFO_EX(cnn_face_detection_ctor_arginfo, 0, 0, 1)
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ZEND_ARG_INFO(0, cnn_face_detection_model_path)
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ZEND_END_ARG_INFO()
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PHP_METHOD(CnnFaceDetection, __construct);
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ZEND_BEGIN_ARG_INFO_EX(cnn_face_detection_detect_arginfo, 0, 0, 2)
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ZEND_ARG_INFO(0, img_path)
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ZEND_ARG_INFO(0, upsample_num)
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ZEND_END_ARG_INFO()
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PHP_METHOD(CnnFaceDetection, detect);
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#endif //PHP_DLIB_CNN_FACE_DETECTION_H
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@ -0,0 +1,15 @@
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--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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@ -0,0 +1,14 @@
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--TEST--
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Testing CnnFaceDetection constructor with model that do not exist
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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("foo");
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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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string(31) "Unable to open foo for reading."
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