@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 or hot key to hold the zoomed in img and label the object

Thanks

Hey, when using the tool there are no keyboard shortcuts recognized. I'm using an english keyboard.

Furthermore, the window can not be resized and so the program window is bigger than my screen.

How can I fix this?

$ make
[ 50%] Building CXX object CMakeFiles/yolo_mark.dir/main.cpp.o
/Users/liujimmy8877/Desktop/Yolo_mark/main.cpp:120:3: error: no matching function for call to
      'glob'
                glob(images_path, filenames_in_folder); // void glob(String pattern, std:...
                ^~~~
/usr/local/include/opencv2/core/utility.hpp:184:17: note: candidate function not viable: no known
      conversion from 'std::vector<std::string>' (aka 'vector<basic_string<char,
      char_traits<char>, allocator<char> > >') to 'std::vector<String> &' for 2nd argument
CV_EXPORTS void glob(String pattern, std::vector<String>& result, bool recursive = false);
                ^
1 error generated.
make[2]: *** [CMakeFiles/yolo_mark.dir/main.cpp.o] Error 1
make[1]: *** [CMakeFiles/yolo_mark.dir/all] Error 2
make: *** [all] Error 2

Hello,

The code creates a trailing white-space after the last line. I mean if you check the annotations, there is a white-space after the last coordinate. for example:

0 0.479297 0.554861 0.705469 0.793056
<white-space>

Would you please fix it?

Hello,

I have a discussion about anchors and relative coordinates of YOLO here. it seems we had a mistake so far, maybe.

it is here: Jumabek/darknet_scripts#8 (comment)

if you are agree with him then Please update the repo with this consideration then I will make a test with new relative coordinates and new anchors.

Hello Alexey,i have two questions,i'll be glad if you answer them

1)Can we disable the command window when doing annotations?
2)Can we disable the rendered characters on the image when doing annotations?Because sometimes they can be a small object there and the characters cover it.

Hello,

I have two issues with this software.

1. it seems it does not generate the train.txt file intself and we gonna make it before start labeling, isn't it?

2. I have some images with PNG format, the software seems to be unable to read them.

hello,

your tool is so useful, thanks.
I can't find a way to remove marks. Is there a list of keyboard shortcuts ?

Hi,

As you suggested, to detect smaller objects I increased the resolution to 1024x1024. But this increases my false positive rate. Could you suggest how to reduce this? Also, how should training be done if my object size is small, that is street light. I am also cropping the images with street lights for training and resizing to 416x416 to use for training. Please suggest. Thanks.

Hello Alexey,is there a way that you can add this functionality to show mouse pointers axis' on image when annotating,it would make annotations much more easier =)

Thanks.

I have two issues
First, when I run yolo_mark.cmd file I get the following error

abdulrahman@abdulrahman-ThinkPad-X230-Tablet:~/darknet/Yolo_mark/x64/Release$ ./yolo_mark.cmd
Example how to start marking bouded boxes for training set Yolo v2
./yolo_mark.cmd: line 4: yolo_mark.exe: command not found
./yolo_mark.cmd: line 7: pause: command not found

Second,
When I want to train it, I use darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
the file could be not found !!!

when i'm trying to train my dataset on yolo it's giving me some nan value.
I have 200 images of dataset. and I want to train my network so that I could get weights for my model.

please help me resolving this error.
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.469436, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.461745, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.463417, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.463578, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.464747, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.465984, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.463966, Avg Recall: -nan, count: 0
Region Avg IOU: -nan, Class: -nan, Obj: -nan, No Obj: 0.463675, Avg Recall: -nan, count: 0
1: 217.337524, 217.337524 avg, 0.000500 rate, 1.763889 seconds, 16 images
Loaded: 0.000051 seconds

can you please tell me how to fix this.. I got this error after running make.

[ 50%] Linking CXX executable yolo_mark
CMakeFiles/yolo_mark.dir/main.cpp.o: In function main': main.cpp:(.text+0x61a): undefined reference to cv::VideoCapture::VideoCapture(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&)'
main.cpp:(.text+0x90f): undefined reference to cv::imshow(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::_InputArray const&)' main.cpp:(.text+0xb0b): undefined reference to cv::imwrite(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::_InputArray const&, std::vector<int, std::allocator > const&)'
main.cpp:(.text+0xbb5): undefined reference to cv::glob(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, bool)' main.cpp:(.text+0x1843): undefined reference to cv::namedWindow(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)'
main.cpp:(.text+0x185c): undefined reference to cv::resizeWindow(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int)' main.cpp:(.text+0x188e): undefined reference to cv::imshow(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::_InputArray const&)'
main.cpp:(.text+0x18a7): undefined reference to cv::moveWindow(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int)' main.cpp:(.text+0x18c0): undefined reference to cv::setMouseCallback(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, void ()(int, int, int, int, void), void*)'
main.cpp:(.text+0x194a): undefined reference to cv::createTrackbar(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int*, int, void (*)(int, void*), void*)' main.cpp:(.text+0x19d5): undefined reference to cv::createTrackbar(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int*, int, void ()(int, void), void*)'
main.cpp:(.text+0x1a64): undefined reference to cv::setTrackbarPos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)' main.cpp:(.text+0x20ac): undefined reference to cv::imread(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)'
main.cpp:(.text+0x22f0): undefined reference to cv::putText(cv::Mat&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' main.cpp:(.text+0x3528): undefined reference to cv::putText(cv::Mat&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::Point, int, double, cv::Scalar, int, int, bool)'
main.cpp:(.text+0x3692): undefined reference to cv::setTrackbarPos(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)' main.cpp:(.text+0x3a17): undefined reference to cv::putText(cv::Mat&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::Point, int, double, cv::Scalar, int, int, bool)'
main.cpp:(.text+0x3b86): undefined reference to cv::putText(cv::Mat&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' main.cpp:(.text+0x3cc4): undefined reference to cv::putText(cv::Mat&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::Point, int, double, cv::Scalar, int, int, bool)'
main.cpp:(.text+0x3d74): undefined reference to cv::putText(cv::Mat&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' main.cpp:(.text+0x3e24): undefined reference to cv::putText(cv::Mat&, std::cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::Point, int, double, cv::Scalar, int, int, bool)'
CMakeFiles/yolo_mark.dir/main.cpp.o:main.cpp:(.text+0x3f0d): more undefined references to cv::putText(cv::Mat&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, cv::Point_<int>, int, double, cv::Scalar_<double>, int, int, bool)' follow CMakeFiles/yolo_mark.dir/main.cpp.o: In function main':
main.cpp:(.text+0x47a6): undefined reference to `cv::imshow(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, cv::_InputArray const&)'
collect2: error: ld returned 1 exit status
CMakeFiles/yolo_mark.dir/build.make:112: recipe for target 'yolo_mark' failed
make[2]: *** [yolo_mark] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/yolo_mark.dir/all' failed
make[1]: *** [CMakeFiles/yolo_mark.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2

Hi, everyone, I compiled yolo_mark.sln on Windows open in MSVS2013. And when i ran yolo_mark.cmd, the cmd showed that:
...\x64\Release>echo Example how to start marking bouded boxes for training set Yolo v2
Example how to start marking bouded boxes for training set Yolo v2
...\x64\Release>yolo_mark.exe data/img data/train.txt data/obj.names

And it came out a window showing that:

---------------------------
Microsoft Visual C++ Runtime Library
---------------------------
Debug Assertion Failed!
Program: C:\windows\system32\MSVCP120D.dll
File: C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\include\vector
Line: 240
Expression: vector iterators incompatible
For information on how your program can cause an assertion
failure, see the Visual C++ documentation on asserts.
(Press Retry to debug the application)

How can i fix it? Plz help me.

Hi, I just tried your compiled file with my own datasets. I only got one object class which is car, and I got 8000+ images named car1 car2 car3, etc. and I put all of them in the Img directory. I only change the class number to 1, and update all directories for each image, but I got the following errors:

Example how to start marking bouded boxes for training set Yolo v2
Error: Image files not found by path: x64/Release/data/img

I'm wondering if I labeled them in the wrong way or I need to change more stuff, thanks!

I am following this link and want to use Yolo_mark to find these parameters <x><y><width><height>
<x> = <absolute_x>/<width_of_image>
<y>=<absolute_y>/<height_of_image>
<width> = <width_of_object>/<width_of_image>
<height> = <height_of_object>/<height_of_image>

so after git clone link I get into the folder of yolo_mark and now followed the instructions that is
cmake .

CMake Error at CMakeLists.txt:3 (find_package):
  By not providing "FindOpenCV.cmake" in CMAKE_MODULE_PATH this project has
  asked CMake to find a package configuration file provided by "OpenCV", but
  CMake did not find one.

  Could not find a package configuration file provided by "OpenCV" with any
  of the following names:

    OpenCVConfig.cmake
    opencv-config.cmake

  Add the installation prefix of "OpenCV" to CMAKE_PREFIX_PATH or set
  "OpenCV_DIR" to a directory containing one of the above files.  If "OpenCV"
  provides a separate development package or SDK, be sure it has been
  installed.


-- Configuring incomplete, errors occurred!

Please help me, to come to this problem , I want to use this `yolo_mark` finally to detect objects in the image

is it possible to use Yolo Mark in annotating for more than 10 classes?

hi, I trained one of my picture, and copied all files you mentioned, and then I got "CUDA Error: out of memory" error when I execute this command in darknet:

darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23

I assure that memory of my PC is sufficient. Any help will be thanked!

What kind of license does this project have? Can you please add a license file to this repository?

@AlexeyAB it is exciting to see that yolo v3 is coming:)
could this tool be used to train v3? I noticed that the configuration is different, could we keep the filters num as V2? thank you

After renaming the extension with lower case jpg it started working !

When I test classifier with cudnn=1, extraction.weights, darknet19.weights etc are giving me wrong classification but as I change my makefile to cudnn=0, they give me right classification. So my question is that will it worsen the pre-trained model if I train my detector even with darknet19_448.conv.23 weights with cudnn=1 .
Regards

Hello,

When the number of images is relatively big (it does not happen when the number of images is around 10 .. 50 or something but it happens with it is around 250 images), pressing the ESC key will cause the program to crash. Please check the issue. Finally it seems that it does the job but with a crash. Platform: W10-64

I have compiled darknet successfully, so my opencv should be correctly installed ,but I got the error below when I was compiling Yolo_mark.

In file included from /usr/local/include/opencv2/core.hpp:52:0,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvdef.h:328:15: error: redefinition of ‘union Cv32suf’
 typedef union Cv32suf
               ^
In file included from /home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core_c.h:47:0,
                 from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/types_c.h:198:15: error: previous definition of ‘union Cv32suf’
 typedef union Cv32suf
               ^
In file included from /usr/local/include/opencv2/core.hpp:52:0,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvdef.h:340:1: error: conflicting declaration ‘typedef int Cv32suf’
 Cv32suf;
 ^
In file included from /home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core_c.h:47:0,
                 from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/types_c.h:204:1: note: previous declaration as ‘typedef union Cv32suf Cv32suf’
 Cv32suf;
 ^
In file included from /usr/local/include/opencv2/core.hpp:52:0,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvdef.h:342:15: error: redefinition of ‘union Cv64suf’
 typedef union Cv64suf
               ^
In file included from /home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core_c.h:47:0,
                 from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/types_c.h:206:15: error: previous definition of ‘union Cv64suf’
 typedef union Cv64suf
               ^
In file included from /usr/local/include/opencv2/core.hpp:52:0,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvdef.h:348:1: error: conflicting declaration ‘typedef int Cv64suf’
 Cv64suf;
 ^
In file included from /home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core_c.h:47:0,
                 from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/types_c.h:212:1: note: previous declaration as ‘typedef union Cv64suf Cv64suf’
 Cv64suf;
 ^
In file included from /usr/local/include/opencv2/core/base.hpp:58:0,
                 from /usr/local/include/opencv2/core.hpp:54,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvstd.hpp:127:30: error: redefinition of ‘class cv::Allocator<_Tp>’
 template<typename _Tp> class Allocator
                              ^
In file included from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:47:0,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core.hpp:370:30: error: previous definition of ‘class cv::Allocator<_Tp>’
 template<typename _Tp> class Allocator
                              ^
In file included from /usr/local/include/opencv2/core/base.hpp:58:0,
                 from /usr/local/include/opencv2/core.hpp:54,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvstd.hpp:280:8: error: redefinition of ‘struct cv::Ptr<_Tp>’
 struct Ptr
        ^
In file included from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:47:0,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core.hpp:1268:30: error: previous definition of ‘struct cv::Ptr<_Tp>’
 template<typename _Tp> class Ptr
                              ^
In file included from /usr/local/include/opencv2/core/base.hpp:58:0,
                 from /usr/local/include/opencv2/core.hpp:54,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvstd.hpp:477:18: error: using typedef-name ‘cv::String’ after ‘class’
 class CV_EXPORTS String
                  ^
In file included from /home/ubuntu1/opencv-2.4.9/include/opencv2/opencv.hpp:47:0,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:13:
/home/ubuntu1/opencv-2.4.9/modules/core/include/opencv2/core/core.hpp:87:21: note: ‘cv::String’ has a previous declaration here
 typedef std::string String;
                     ^
In file included from /usr/local/include/opencv2/core/base.hpp:58:0,
                 from /usr/local/include/opencv2/core.hpp:54,
                 from /usr/local/include/opencv2/highgui.hpp:46,
                 from /home/songlin.ysl/Documents/Yolo_mark/main.cpp:16:
/usr/local/include/opencv2/core/cvstd.hpp:587:1: error: specializing member ‘std::__cxx11::basic_string<char>::String’ requires ‘template<>’ syntax
 String::String()
 ^
/usr/local/include/opencv2/core/cvstd.hpp:592:22: error: ‘String’ does not name a type
 String::String(const String& str)
                      ^
/usr/local/include/opencv2/core/cvstd.hpp:592:1: error: specializing member ‘std::__cxx11::basic_string<char>::String’ requires ‘template<>’ syntax
 String::String(const String& str)
 ^
/usr/local/include/opencv2/core/cvstd.hpp:600:22: error: ‘String’ does not name a type
 String::String(const String& str, size_t pos, size_t len)
                      ^
/usr/local/include/opencv2/core/cvstd.hpp:600:1: error: specializing member ‘std::__cxx11::basic_string<char>::String’ requires ‘template<>’ syntax
 String::String(const String& str, size_t pos, size_t len)
 ^
/home/songlin.ysl/Documents/Yolo_mark/main.cpp:660:1: error: expected ‘}’ at end of input
 }
 ^
CMakeFiles/yolo_mark.dir/build.make:62: recipe for target 'CMakeFiles/yolo_mark.dir/main.cpp.o' failed
make[2]: *** [CMakeFiles/yolo_mark.dir/main.cpp.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/yolo_mark.dir/all' failed
make[1]: *** [CMakeFiles/yolo_mark.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2

This is the command:

./yolo_mark x64/Release/data/img cap_video 14_sec_Test.mp4 10

I get this:

GStreamer: Error opening bin: Unrecoverable syntax error while parsing pipeline

Anyone shed some light on this?

I need help in marking some area in the image as ignore so that it does not consider that part of image as positive or negative sample . I need this in the case when two objects are very close to each other . Please let me know how can we do this ?

Hey guys,
I'm working on a person couting project and desnity estimation in crowd.
I'd like to elliminate all the classes in the output and only leave the "person" class.
Also i'd like to count the number of persons returned.

Any help ?
Thanks !! :)

Hey Alexey, everyone,

The video slicer isn't working for me. I've tried putting the mp4 file near the yolo_mark.exe or in the /data folder. I get no output : )

The marker tool works; Any ideas what I'm doing wrong or what I need to check?

Hi @AlexeyAB , this project is so cool. Can you supply a video Gui for Yolo_mark? That is soooooooo cool, and this video is captured from webcam. I this is a great real-time detection project. I try it many times, but fail it, can you help me?
Good Luck.
Cheers

xiaochuan

Hello again,

I have a ~200/250 pictures file that I open with yolo_mark to make boxes for 2 tags.
For the firsts picture that I mark, no problem and no lag but when I arrive between the 10th and the 20th the yolo_mark window starts "not responding" every 2 seconds and starts to fade away and I have to wait like 10 seconds before it changes to the next picture. Do you have an idea of what could cause that or of a solution ??

Hey, I get the following Error on several machines. On another, it worked, but I can not see the difference.

kbitr:Yolo_mark kbitr$ make
[ 50%] Building CXX object CMakeFiles/yolo_mark.dir/main.cpp.o
/*path*/Yolo_mark/main.cpp:18:53: error: invalid suffix on
      literal; C++11 requires a space between literal and identifier
      [-Wreserved-user-defined-literal]
#define OPENCV_VERSION CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION...
                                                    ^
                                                     
/*path*/Yolo_mark/main.cpp:18:82: error: invalid suffix on
      literal; C++11 requires a space between literal and identifier
      [-Wreserved-user-defined-literal]
  ...CVAUX_STR(CV_VERSION_MAJOR)""CVAUX_STR(CV_VERSION_MINOR)""CVAUX_STR(CV_V...
                                                               ^
                                                                
2 errors generated.
make[2]: *** [CMakeFiles/yolo_mark.dir/main.cpp.o] Error 1
make[1]: *** [CMakeFiles/yolo_mark.dir/all] Error 2
make: *** [all] Error 2

Hi,

Please have a look at picture. the software has stretched the image. This will not change the relative coordinates and affect them? because these relative value should be in calculated in original dimensions of original image, not when an image is stretched.

Hi,

Please follow these steps to reproduce the bug.

Put two images for example. one with annotations and another one just a background-only image with an empty .txt file.
if we browse the images using the arrows, it copies the annotations from the previous image to the next background-only image and changes its .txt file.

By the way, it generates the wrong annotations for the background-only file and rewrites its .txt file.

When I do cmake . I get the folowwing error:

`- The C compiler identification is GNU 6.3.1
-- The CXX compiler identification is GNU 6.3.1
-- Check for working C compiler: /usr/lib64/ccache/cc
-- Check for working C compiler: /usr/lib64/ccache/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/lib64/ccache/c++
-- Check for working CXX compiler: /usr/lib64/ccache/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Configuring done

CMake Error: CMake can not determine linker language for target: yolo_mark

CMake Error: Cannot determine link language for target "yolo_mark".

-- Generating done
`

Hello Alexey,

What are the important and less important parameters in the labeling phase from the .cfg file?

Or does yolo_mark not use the .cfg file? I am tihnking the [net] width and height, but yolo_mark looks at data/obj.data and data/obj.names, data/train.txt..

Must the .cfg file in this phase already be the same as training phase (and detection phase)?

seems to be there is the only one way to remove selected rects - delete annotation

hitting this on linux

[ 50%] Building CXX object CMakeFiles/yolo_mark.dir/main.cpp.o
/home/jeremy/projects/Yolo_mark/main.cpp: In function ‘int main(int, char**)’:
/home/jeremy/projects/Yolo_mark/main.cpp:120:40: error: invalid initialization of reference of type ‘std::vector<cv::String>&’ from expression of type ‘std::vector<std::__cxx11::basic_string<char> >’
   glob(images_path, filenames_in_folder); // void glob(String pattern, std::vec
                                        ^
In file included from /usr/local/include/opencv2/core.hpp:3165:0,
                 from /usr/local/include/opencv2/core/core.hpp:48,
                 from /home/jeremy/projects/Yolo_mark/main.cpp:18:
/usr/local/include/opencv2/core/utility.hpp:184:17: note: in passing argument 2 of ‘void cv::glob(cv::String, std::vector<cv::String>&, bool)’
 CV_EXPORTS void glob(String pattern, std::vector<String>& result, bool recursiv
                 ^
CMakeFiles/yolo_mark.dir/build.make:62: recipe for target 'CMakeFiles/yolo_mark.dir/main.cpp.o' failed
make[2]: *** [CMakeFiles/yolo_mark.dir/main.cpp.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/yolo_mark.dir/all' failed
make[1]: *** [CMakeFiles/yolo_mark.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2

hi,
nice work. how about adding support for lossless image formats? [e.g. png]
thanks!

It seems that Yolo_mark can only label 20 classes. What should I do if I want to label 1000 classes?

Thanks in advance

I have migrated data from some other format in another dataset to the yolo one. Now i need to check whether the bbox have been applied properly or not. A simple and edit and save button would be nice to have.

hello,

I tried to compile using both opencv 3.3 and 2.4. and i keep getting the same error:

Hi Alexey,
I made a similar work to tag dataset and generate YOLO configuration files:
https://github.com/Myzhar/object-detection-dataset-tagger

Let me know what you think about it

Walter

hi, how long to training 2 class??
and how to training only using GPU?
thanks 👍

#Hi all! I am training yolo v2 to detect several landscapes, such as seashore, mountains and things like these. I was wondering if it would be reasonable to add "noise images" and if this could lead to decrease false positive rate. If so, should I add a new label for these images?
Furthemore, my images all have different size, should I resize them or set some specific parameters?
Thank you in advance

can you tell me please why coordinates are biased?
I've checked several times, and always get an error when cropping objects from images relying on relative coordinates from txt files.

I want to know is there any method to delete a specified rectangle ?
Or a method to undo?

![screenshot from 2018-05-17 23-53-25](https://user-images.githubusercontent.com/33179551/40188973-c57b677c-5a2d-11e8-86ba-e430f98ba30d.png

Can anyone help here? Pretty sure have done the training part OK (only 1 class). I am only using 6 images to begin with and when running I get the error shown in the screenshot attached.

Thanks

Hi
I am new to working with YOLO and Neural networks

I used your example data to run with yolo no gpu.
this is running for about 4 days and not stopping.
command:
darknet_no_gpu.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
output started like this:
progress of learning
Loading weights from darknet19_448.conv.23...Done!
Learning Rate: 0.0001, Momentum: 0.9, Decay: 0.0005
Loaded: 1.588000 seconds
Region Avg IOU: 0.120223, Class: 0.362698, Obj: 0.612478, No Obj: 0.513480, Avg Recall: 0.000000, count: 9
Region Avg IOU: 0.238924, Class: 0.439833, Obj: 0.548626, No Obj: 0.514007, Avg Recall: 0.058824, count: 34
Region Avg IOU: 0.200323, Class: 0.519404, Obj: 0.561993, No Obj: 0.512736, Avg Recall: 0.166667, count: 12
Region Avg IOU: 0.196986, Class: 0.321407, Obj: 0.634472, No Obj: 0.513765, Avg Recall: 0.000000, count: 18
Region Avg IOU: 0.187150, Class: 0.526126, Obj: 0.575120, No Obj: 0.513986, Avg Recall: 0.083333, count: 24
Region Avg IOU: 0.147942, Class: 0.573413, Obj: 0.527868, No Obj: 0.513225, Avg Recall: 0.000000, count: 11
Region Avg IOU: 0.147899, Class: 0.419107, Obj: 0.490241, No Obj: 0.512636, Avg Recall: 0.000000, count: 18
Region Avg IOU: 0.155855, Class: 0.431433, Obj: 0.527465, No Obj: 0.512580, Avg Recall: 0.000000, count: 11
1: 23.719202, 23.719202 avg, 0.000100 rate, 1525.245972 seconds, 64 images

Now after 4 days it is:
Region Avg IOU: 0.776839, Class: 0.999406, Obj: 0.881055, No Obj: 0.007709, Avg Recall: 1.000000, count: 17
Region Avg IOU: 0.789834, Class: 0.998349, Obj: 0.804908, No Obj: 0.010932, Avg Recall: 1.000000, count: 32
Region Avg IOU: 0.716955, Class: 0.998312, Obj: 0.747980, No Obj: 0.008201, Avg Recall: 0.863636, count: 22
Region Avg IOU: 0.791601, Class: 0.999399, Obj: 0.838217, No Obj: 0.008875, Avg Recall: 1.000000, count: 21
Region Avg IOU: 0.774943, Class: 0.997678, Obj: 0.875351, No Obj: 0.006102, Avg Recall: 1.000000, count: 9
Region Avg IOU: 0.764226, Class: 0.998302, Obj: 0.723759, No Obj: 0.011918, Avg Recall: 0.969697, count: 33
Region Avg IOU: 0.760802, Class: 0.998138, Obj: 0.750877, No Obj: 0.014727, Avg Recall: 0.976744, count: 43
Region Avg IOU: 0.755867, Class: 0.999586, Obj: 0.833746, No Obj: 0.005354, Avg Recall: 1.000000, count: 11
207: 0.218326, 0.224815 avg, 0.001000 rate, 1554.923950 seconds, 13248 images
Loaded: 0.000000 seconds
Region Avg IOU: 0.811563, Class: 0.997593, Obj: 0.791255, No Obj: 0.012824, Avg Recall: 1.000000, count: 31
Region Avg IOU: 0.763254, Class: 0.998242, Obj: 0.847682, No Obj: 0.008106, Avg Recall: 1.000000, count: 19
Region Avg IOU: 0.785790, Class: 0.997373, Obj: 0.738193, No Obj: 0.013735, Avg Recall: 1.000000, count: 37

And not stopping.
Again I used your aeroplanes and birds data, as is.

Is this normal. do I have a problem?

Also wanted to ask if you can explain the output
Region Avg IOU:
Class:
Obj:
No Obj:
Avg Recall:
count:
and the line that comes after every few "interations?"
207: 0.218326, 0.224815 avg, 0.001000 rate, 1554.923950 seconds, 13248 images

Also wanted to ask, Can I use images that have several classes in them, in your case an image with a bird and a aeroplane? (marking different rectangles with different class tags. can this be in the same image?)

Thanks in advance
m.