clang -cc1 -cc1 -triple aarch64-unknown-linux-gnu -analyze -disable-free -clear-ast-before-backend -disable-llvm-verifier -discard-value-names -main-file-name dnnfacedetectoryolo.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/dnnfacedetectoryolo.cpp
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21 | #include "dnnfacedetectoryolo.h" |
22 | |
23 | |
24 | |
25 | #include <QList> |
26 | #include <QRect> |
27 | #include <QString> |
28 | #include <QFileInfo> |
29 | #include <QMutexLocker> |
30 | #include <QElapsedTimer> |
31 | #include <QStandardPaths> |
32 | |
33 | |
34 | |
35 | #include "digikam_debug.h" |
36 | #include "digikam_config.h" |
37 | #include "dnnmodelnet.h" |
38 | #include "dnnmodelmanager.h" |
39 | |
40 | namespace Digikam |
41 | { |
42 | |
43 | DNNFaceDetectorYOLO::DNNFaceDetectorYOLO() |
44 | : DNNFaceDetectorBase(1.0F / 255.0F, |
45 | cv::Scalar(0.0, 0.0, 0.0), |
46 | cv::Size(416, 416)) |
47 | { |
48 | loadModels(); |
49 | } |
50 | |
51 | bool DNNFaceDetectorYOLO::loadModels() |
52 | { |
53 | model = DNNModelManager::instance()->getModel(QLatin1String("YOLOv3"), DNNModelUsage::DNNUsageFaceDetection); |
54 | |
55 | if (model && !model->modelLoaded) |
56 | { |
57 | try |
58 | { |
59 | |
60 | |
61 | cv::dnn::Net net = static_cast<DNNModelNet*>(model)->getNet(); |
62 | |
63 | qCDebug(DIGIKAM_FACEDB_LOG) << "YOLOv3 model:" << model->info.displayName |
64 | << ", YOLOv3 data:" << model->info.configName; |
65 | } |
66 | catch (cv::Exception& e) |
67 | { |
68 | qCWarning(DIGIKAM_FACEDB_LOG) << "cv::Exception:" << e.what(); |
69 | |
70 | return false; |
71 | } |
72 | catch (...) |
73 | { |
74 | qCWarning(DIGIKAM_FACEDB_LOG) << "Default exception from OpenCV"; |
75 | |
76 | return false; |
77 | } |
78 | } |
79 | |
80 | if (model && model->modelLoaded) |
81 | { |
82 | qCDebug(DIGIKAM_FACEDB_LOG) << "SSD model:" << model->info.displayName << "ready"; |
83 | } |
84 | else |
85 | { |
86 | qCWarning(DIGIKAM_FACEDB_LOG) << "Face detection model: YOLOv3 not loaded"; |
87 | return false; |
88 | } |
89 | |
90 | return true; |
91 | } |
92 | |
93 | void DNNFaceDetectorYOLO::detectFaces(const cv::Mat& inputImage, |
94 | const cv::Size& paddedSize, |
95 | std::vector<cv::Rect>& detectedBboxes) |
96 | { |
97 | QElapsedTimer timer; |
98 | |
99 | if (inputImage.empty()) |
| 1 | Assuming the condition is false | |
|
| |
100 | { |
101 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "Invalid image given, not detecting faces."; |
102 | |
103 | return; |
104 | } |
105 | |
106 | cv::Mat inputBlob = cv::dnn::blobFromImage(inputImage, scaleFactor, inputImageSize, meanValToSubtract, true, false); |
107 | std::vector<cv::Mat> outs; |
108 | |
109 | if (model && !static_cast<DNNModelNet*>(model)->getNet().empty()) |
| 3 | | Assuming field 'model' is null | |
|
110 | { |
111 | QMutexLocker lock(&(model->mutex)); |
112 | |
113 | static_cast<DNNModelNet*>(model)->getNet().setInput(inputBlob); |
114 | timer.start(); |
115 | static_cast<DNNModelNet*>(model)->getNet().forward(outs, getOutputsNames()); |
116 | |
117 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "forward YOLO detection in" << timer.elapsed() << "ms"; |
118 | } |
119 | else |
120 | { |
121 | qCWarning(DIGIKAM_FACEDB_LOG) << "Face detection model: YOLOv3 not loaded. Processed 0 images."; |
| 4 | | Loop condition is false. Execution continues on line 125 | |
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122 | } |
123 | |
124 | |
125 | timer.start(); |
126 | |
127 | postprocess(outs, paddedSize, detectedBboxes); |
| 5 | | Calling 'DNNFaceDetectorYOLO::postprocess' | |
|
128 | |
129 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "postprocess YOLO detection in" << timer.elapsed() << "ms"; |
130 | } |
131 | |
132 | void DNNFaceDetectorYOLO::postprocess(const std::vector<cv::Mat>& outs, |
133 | const cv::Size& paddedSize, |
134 | std::vector<cv::Rect>& detectedBboxes) const |
135 | { |
136 | std::vector<float> goodConfidences; |
137 | std::vector<float> doubtConfidences; |
138 | std::vector<float> confidences; |
139 | std::vector<cv::Rect> goodBoxes; |
140 | std::vector<cv::Rect> doubtBoxes; |
141 | std::vector<cv::Rect> boxes; |
142 | |
143 | const float confidenceThreshold = model->getThreshold(uiConfidenceThreshold); |
| 6 | | Called C++ object pointer is null |
|
144 | |
145 | for (size_t i = 0 ; i < outs.size() ; ++i) |
146 | { |
147 | |
148 | |
149 | |
150 | |
151 | float* data = reinterpret_cast<float*>(outs[i].data); |
152 | |
153 | for (int j = 0 ; j < outs[i].rows ; ++j, data += outs[i].cols) |
154 | { |
155 | cv::Mat scores = outs[i].row(j).colRange(5, outs[i].cols); |
156 | |
157 | |
158 | |
159 | double confidence; |
160 | cv::minMaxLoc(scores, nullptr, &confidence, nullptr, nullptr); |
161 | |
162 | if (confidence > confidenceThreshold) |
163 | { |
164 | int centerX = (int)(data[0] * inputImageSize.width); |
165 | int centerY = (int)(data[1] * inputImageSize.height); |
166 | int width = (int)(data[2] * inputImageSize.width); |
167 | int height = (int)(data[3] * inputImageSize.height); |
168 | |
169 | int left = centerX - width / 2; |
170 | int right = centerX + width / 2; |
171 | int top = centerY - height / 2; |
172 | int bottom = centerY + height / 2; |
173 | |
174 | selectBbox(paddedSize, |
175 | confidence, |
176 | left, |
177 | right, |
178 | top, |
179 | bottom, |
180 | goodConfidences, |
181 | goodBoxes, |
182 | doubtConfidences, |
183 | doubtBoxes); |
184 | } |
185 | } |
186 | } |
187 | |
188 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "nb of doubtbox = " << doubtBoxes.size(); |
189 | qCDebug(DIGIKAM_FACESENGINE_LOG) << "nb of goodbox = " << goodBoxes.size(); |
190 | |
191 | if (goodBoxes.empty()) |
192 | { |
193 | boxes = doubtBoxes; |
194 | confidences = doubtConfidences; |
195 | } |
196 | else |
197 | { |
198 | boxes = goodBoxes; |
199 | confidences = goodConfidences; |
200 | } |
201 | |
202 | |
203 | |
204 | std::vector<int> indices; |
205 | cv::dnn::NMSBoxes(boxes, confidences, confidenceThreshold, nmsThreshold, indices); |
206 | |
207 | |
208 | |
209 | for (size_t i = 0 ; i < indices.size() ; ++i) |
210 | { |
211 | cv::Rect bbox = boxes[indices[i]]; |
212 | correctBbox(bbox, paddedSize); |
213 | detectedBboxes.push_back(cv::Rect(bbox.x, bbox.y, bbox.width, bbox.height)); |
214 | } |
215 | } |
216 | |
217 | |
218 | |
219 | |
220 | std::vector<cv::String> DNNFaceDetectorYOLO::getOutputsNames() const |
221 | { |
222 | static std::vector<cv::String> names; |
223 | |
224 | if (!static_cast<DNNModelNet*>(model)->getNet().empty() && names.empty()) |
225 | { |
226 | |
227 | |
228 | std::vector<int> outLayers = static_cast<DNNModelNet*>(model)->getNet().getUnconnectedOutLayers(); |
229 | |
230 | |
231 | |
232 | std::vector<cv::String> layersNames = static_cast<DNNModelNet*>(model)->getNet().getLayerNames(); |
233 | |
234 | |
235 | |
236 | names.resize(outLayers.size()); |
237 | |
238 | for (size_t i = 0 ; i < outLayers.size() ; ++i) |
239 | { |
240 | names[i] = layersNames[outLayers[i] - 1]; |
241 | } |
242 | } |
243 | |
244 | return names; |
245 | } |
246 | |
247 | } |