Yolo_mark
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AlexeyAB
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
Well, since the issue was closed I wanted to reopen it here: I am on Ubuntu 18.04.LTS I use anaconda, so I did uninstall and reinstall opencv 3.4.2 I did...
Ubuntu 18.04.1 LTS After I clone the project, I just cd into the directory and follow the guide. cmake . make and I got this error -- ignacio@ignacio-GL702VSK:~/Escritorio/Yolo-v3 segun AlexeyAB...
ubuntu 16.04, python 3.6 caitech@caitech-desktop:~/Yolo_mark$ make Scanning dependencies of target yolo_mark [ 50%] Building CXX object CMakeFiles/yolo_mark.dir/main.cpp.o [100%] Linking CXX executable yolo_mark /usr/bin/ld: warning: libicui18n.so.58, needed by //home/caitech/anaconda3/lib/libQt5Core.so.5, not found...
ubuntu16.04 gcc (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609 After I clone the project, I just cd into the directory and follow the guide. 1. "cmake ." 2. "make" and I got this...
@AlexeyAB Is there a way to zoom in and label the object? I'm trying to label small objects as well as big objects and was wondering if there's a way...
/home/mengruli/Documents/hoang/special_topic/deep_learning/Yolo_mark/main.cpp: In function ‘int main(int, char**)’: /home/mengruli/Documents/hoang/special_topic/deep_learning/Yolo_mark/main.cpp:143:28: error: ‘CV_CAP_PROP_FPS’ was not declared in this scope const int fps = cap.get(CV_CAP_PROP_FPS); ^ /home/mengruli/Documents/hoang/special_topic/deep_learning/Yolo_mark/main.cpp:465:60: error: ‘CV_FILLED’ was not declared in this scope...
hi @AlexeyAB I am very confused to do this step. Please guide me where to have which file? Put files: yolo-obj.cfg, data/train.txt, data/obj.names, data/obj.data, darknet19_448.conv.23 and directory data/img near with...
I have a situation where i have to tag and train an object according to the size: 10x10(min) and Angle of the object. Can you look into the possibility of...
Hi, Any way to add multiple categories for the same box ? Thanks.
` .\darknet.exe detector train data/omid.data cfg/yolov3Tumor.cfg.txt weights/darknet19_448.conv.23.weights -map yolov3Tumor layer filters size input output 0 conv 32 3 x 3 / 1 800 x 800 x 3 -> 800 x...
