clang -cc1 -cc1 -triple aarch64-unknown-linux-gnu -analyze -disable-free -clear-ast-before-backend -disable-llvm-verifier -discard-value-names -main-file-name dnnfacedetectorssd.cpp -analyzer-checker=core -analyzer-checker=apiModeling -analyzer-checker=unix -analyzer-checker=deadcode -analyzer-checker=cplusplus -analyzer-checker=security.insecureAPI.UncheckedReturn -analyzer-checker=security.insecureAPI.getpw -analyzer-checker=security.insecureAPI.gets -analyzer-checker=security.insecureAPI.mktemp -analyzer-checker=security.insecureAPI.mkstemp -analyzer-checker=security.insecureAPI.vfork -analyzer-checker=nullability.NullPassedToNonnull -analyzer-checker=nullability.NullReturnedFromNonnull -analyzer-output plist -w -setup-static-analyzer -mrelocation-model pic -pic-level 2 -fhalf-no-semantic-interposition -mframe-pointer=non-leaf -fmath-errno -ffp-contract=on -fno-rounding-math -mconstructor-aliases -funwind-tables=2 -target-cpu generic -target-feature +v8a -target-feature +fp-armv8 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/usr/lib/gcc/aarch64-linux-gnu/13/../../../../include/aarch64-linux-gnu/c++/13 -internal-isystem /usr/lib/gcc/aarch64-linux-gnu/13/../../../../include/c++/13/backward -internal-isystem /usr/lib/llvm-18/lib/clang/18/include -internal-isystem /usr/local/include -internal-isystem /usr/lib/gcc/aarch64-linux-gnu/13/../../../../aarch64-linux-gnu/include -internal-externc-isystem /usr/include/aarch64-linux-gnu -internal-externc-isystem /include -internal-externc-isystem /usr/include -Wno-long-long -Wno-deprecated-copy -std=c++20 -fdeprecated-macro -ferror-limit 19 -fvisibility=hidden -fvisibility-inlines-hidden -fno-operator-names -fopenmp -fno-signed-char -fgnuc-version=4.2.1 -fno-implicit-modules -fskip-odr-check-in-gmf -fcxx-exceptions -fexceptions -analyzer-output=html -target-feature +outline-atomics -target-feature -fmv -faddrsig -D__GCC_HAVE_DWARF2_CFI_ASM=1 -o /mnt/data/Devel/8.x/project/reports/report.scan/2024-11-03-085830-479945-1 -x c++ /home/gilles/Devel/8.x/core/libs/facesengine/detection/opencv-dnn/dnnfacedetectorssd.cpp
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16 | #include "dnnfacedetectorssd.h" |
17 | |
18 | |
19 | |
20 | #include <QList> |
21 | #include <QRect> |
22 | #include <QString> |
23 | #include <QFileInfo> |
24 | #include <QMutexLocker> |
25 | #include <QStandardPaths> |
26 | |
27 | |
28 | |
29 | #include "digikam_debug.h" |
30 | #include "digikam_config.h" |
31 | #include "dnnmodelnet.h" |
32 | #include "dnnmodelmanager.h" |
33 | |
34 | namespace Digikam |
35 | { |
36 | |
37 | DNNFaceDetectorSSD::DNNFaceDetectorSSD() |
38 | : DNNFaceDetectorBase(1.0, |
39 | cv::Scalar(104.0, 177.0, 123.0), |
40 | cv::Size(300, 300)) |
41 | { |
42 | loadModels(); |
43 | } |
44 | |
45 | bool DNNFaceDetectorSSD::loadModels() |
46 | { |
47 | |
48 | model = DNNModelManager::instance()->getModel(QLatin1String("MobilenetSSD"), DNNModelUsage::DNNUsageFaceDetection); |
49 | |
50 | if (model && !model->modelLoaded) |
51 | { |
52 | try |
53 | { |
54 | |
55 | |
56 | cv::dnn::Net net = static_cast<DNNModelNet*>(model)->getNet(); |
57 | |
58 | qCDebug(DIGIKAM_FACEDB_LOG) << "SSD model:" << model->info.displayName |
59 | << ", SSD data:" << model->info.configName; |
60 | } |
61 | catch (cv::Exception& e) |
62 | { |
63 | qCWarning(DIGIKAM_FACEDB_LOG) << "cv::Exception:" << e.what(); |
64 | |
65 | return false; |
66 | } |
67 | catch (...) |
68 | { |
69 | qCWarning(DIGIKAM_FACEDB_LOG) << "Default exception from OpenCV"; |
70 | |
71 | return false; |
72 | } |
73 | } |
74 | |
75 | if (model && model->modelLoaded) |
76 | { |
77 | qCDebug(DIGIKAM_FACEDB_LOG) << "SSD model:" << model->info.displayName << "ready"; |
78 | } |
79 | else |
80 | { |
81 | qCWarning(DIGIKAM_FACEDB_LOG) << "Face detection model: SSD not loaded"; |
82 | return false; |
83 | } |
84 | |
85 | return true; |
86 | } |
87 | |
88 | void DNNFaceDetectorSSD::detectFaces(const cv::Mat& inputImage, |
89 | const cv::Size& paddedSize, |
90 | std::vector<cv::Rect>& detectedBboxes) |
91 | { |
92 | if (inputImage.empty()) |
| 1 | Assuming the condition is false | |
|
| |
93 | { |
94 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "Invalid image given, not detecting faces."; |
95 | return; |
96 | } |
97 | |
98 | cv::Mat detection; |
99 | cv::Mat inputBlob = cv::dnn::blobFromImage(inputImage, scaleFactor, inputImageSize, meanValToSubtract, true, false); |
100 | |
101 | if (model && !static_cast<DNNModelNet*>(model)->getNet().empty()) |
| 3 | | Assuming field 'model' is null | |
|
102 | { |
103 | QMutexLocker lock(&(model->mutex)); |
104 | static_cast<DNNModelNet*>(model)->getNet().setInput(inputBlob); |
105 | detection = static_cast<DNNModelNet*>(model)->getNet().forward(); |
106 | } |
107 | else |
108 | { |
109 | qCWarning(DIGIKAM_FACEDB_LOG) << "Face detection model: SSD not loaded. Processed 0 images."; |
| 4 | | Loop condition is false. Execution continues on line 113 | |
|
110 | } |
111 | |
112 | |
113 | postprocess(detection, paddedSize, detectedBboxes); |
| 5 | | Calling 'DNNFaceDetectorSSD::postprocess' | |
|
114 | } |
115 | |
116 | void DNNFaceDetectorSSD::postprocess(cv::Mat detection, |
117 | const cv::Size& paddedSize, |
118 | std::vector<cv::Rect>& detectedBboxes) const |
119 | { |
120 | std::vector<float> goodConfidences, doubtConfidences, confidences; |
121 | std::vector<cv::Rect> goodBoxes, doubtBoxes, boxes; |
122 | |
123 | cv::Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr<float>()); |
124 | |
125 | const float confidenceThreshold = model->getThreshold(uiConfidenceThreshold); |
| 6 | | Called C++ object pointer is null |
|
126 | |
127 | |
128 | |
129 | for (int i = 0 ; i < detectionMat.rows ; ++i) |
130 | { |
131 | float confidence = detectionMat.at<float>(i, 2); |
132 | |
133 | if (confidence > confidenceThreshold) |
134 | { |
135 | float leftRatio = detectionMat.at<float>(i, 3); |
136 | float topRatio = detectionMat.at<float>(i, 4); |
137 | float rightRatio = detectionMat.at<float>(i, 5); |
138 | float bottomRatio = detectionMat.at<float>(i, 6); |
139 | |
140 | int left = (int)(leftRatio * inputImageSize.width); |
141 | int right = (int)(rightRatio * inputImageSize.width); |
142 | int top = (int)(topRatio * inputImageSize.height); |
143 | int bottom = (int)(bottomRatio * inputImageSize.height); |
144 | |
145 | selectBbox(paddedSize, |
146 | confidence, |
147 | left, |
148 | right, |
149 | top, |
150 | bottom, |
151 | goodConfidences, |
152 | goodBoxes, |
153 | doubtConfidences, |
154 | doubtBoxes); |
155 | } |
156 | } |
157 | |
158 | |
159 | |
160 | |
161 | if (goodBoxes.empty()) |
162 | { |
163 | boxes = doubtBoxes; |
164 | confidences = doubtConfidences; |
165 | } |
166 | else |
167 | { |
168 | boxes = goodBoxes; |
169 | confidences = goodConfidences; |
170 | } |
171 | |
172 | |
173 | |
174 | std::vector<int> indices; |
175 | cv::dnn::NMSBoxes(boxes, confidences, confidenceThreshold, nmsThreshold, indices); |
176 | |
177 | |
178 | |
179 | for (size_t i = 0 ; i < indices.size() ; ++i) |
180 | { |
181 | cv::Rect bbox = boxes[indices[i]]; |
182 | correctBbox(bbox, paddedSize); |
183 | detectedBboxes.push_back(cv::Rect(bbox.x, bbox.y, bbox.width, bbox.height)); |
184 | } |
185 | } |
186 | |
187 | } |