FalsePositive1.jpg : no object
FalsePositive2.jpg : no object
TruePositive1.jpg : 2 objects
I test theses images with alexeyab/darknet
FalsePositive1.jpg where alexeyab/darknet detects a false-positif with a confidence of 27%
Falsepositive2.jpg where alexeyab/darknet detects a false-positif with a confidence of 56%
TruePositive1.jpg where alexeyab/darknet detects 2 true positif with 100% confidence
I test theses images with pjreddie/darknet
FalsePositive1.jpg where pjreddie/darknet detects nothing, no false-positif
Falsepositive2.jpg where pjreddie/darknet detects nothing, no false-positif
TruePositive1.jpg where pjreddie/darknet detects 2 true positif with 100% confidence
Besides I test theses images with alexeyab/darknet and C++ wrapper yolo_v2_class.cpp and i get :
FalsePositive1.jpg where C++ wrapper detects a false-positif with a confidence of 58%
Falsepositive2.jpg where C++ wrapper detects a false-positif with a confidence of 57%
TruePositive1.jpg where C++ wrapper detects 2 true positif with 100% confidence
Of course, theses 3 methods detect the same number of objects at the same place (true positive and false positive). But it's seems confidence is very different for false positive. It's very strange.
Hello,
I trained yoloV3 with alexeyab/darknet with a custom dataset in order to get a person detector on thermal images.
Database : FLIR thermal images avaiable at https://www.flir.com/oem/adas/adas-dataset-form
Change made in yolov3.cfg :
I test on 3 specific images :
FalsePositive1.jpg : no object FalsePositive2.jpg : no object TruePositive1.jpg : 2 objects
I test theses images with alexeyab/darknet
FalsePositive1.jpg where alexeyab/darknet detects a false-positif with a confidence of 27% Falsepositive2.jpg where alexeyab/darknet detects a false-positif with a confidence of 56% TruePositive1.jpg where alexeyab/darknet detects 2 true positif with 100% confidence
I test theses images with pjreddie/darknet
FalsePositive1.jpg where pjreddie/darknet detects nothing, no false-positif Falsepositive2.jpg where pjreddie/darknet detects nothing, no false-positif TruePositive1.jpg where pjreddie/darknet detects 2 true positif with 100% confidence
Besides I test theses images with alexeyab/darknet and C++ wrapper
yolo_v2_class.cpp
and i get :FalsePositive1.jpg where C++ wrapper detects a false-positif with a confidence of 58% Falsepositive2.jpg where C++ wrapper detects a false-positif with a confidence of 57% TruePositive1.jpg where C++ wrapper detects 2 true positif with 100% confidence
Of course, theses 3 methods detect the same number of objects at the same place (true positive and false positive). But it's seems confidence is very different for false positive. It's very strange.
I uploaded .cfg .data .names .weights and the 3 test images at : https://drive.google.com/open?id=1DyNmM0z8fCmT4TSUWRYgjgNNpWAYy9Ou
Thanks a lot