Yolo returns uniformly placed detections (bboxes) with almost equal confidence.

[rap9430]

Darknet compiles and runs correctly under window, but the yolo's result is not rational (see attached image). Is this a known issue? thanks.

[tanger830]

I get the samilar result, someone in the google group argue that maybe caused by the file read mode 'r' and 'rb' difference between linux and windows, but i try it and cannot make it work.
btw: let me know if you make it works.

[rap9430]

Yes, that didn't work for me too.

[tanger830]

I find the problem, this is because the yolo.weights and yolo.cfg you download is up to date，but loading code in this project is out of date, so it cannot recognize some field name defined in yolo.cfg and just ignore it, this is the beginning of wrong weight load.

[rap9430]

Hm... Did you find a solution, too? If yes, then could you please share it with us?

[zhangxuzju]

Hi, i also encountered the problem above. what i want to ask is that is there any hint or instruction on how to compile this project on windows? if we learned this method.so maybe we could create yolo-windows ourselves

[AlexeyAB]

@2LOVES7
@rap9430

Hi, you can try this fork: https://github.com/AlexeyAB/yolo-windows

I've just got this result on Windows 7 x64 with yolo.cfg from my fork and yolo.weights from here: http://pjreddie.com/media/files/yolo.weights

[rap9430]

@AlexeyAB

Thanks! It works like charm. :D

[abhigarg]

@AlexeyAB

Can I compile your version of yolo using Visual Studio 2012?

I tried with VS2012 and I have changed include and library paths to my opencv 3.0.0 and CUDA 7.5.

I am getting linkage errors:

1>C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\include\limits(80): error : this declaration may not have extern "C" linkage

this and many more like this for avgpool_layer_kernels.cu

[AlexeyAB]

@abhigarg

It can't be compiled using MSVS 2012 (v110) without code changes, because MSVS 2012 uses C89 standard of C, then must be declaring/initializing all local variables at the beginning of a code block (directly after an opening brace { ): http://stackoverflow.com/a/9903698/1558037

Otherwise there will be a lot of errors in lines like this: https://github.com/AlexeyAB/yolo-windows/blob/0bbef8e57ebd2d77d5ee46ed43e98db0c48c4cba/src/avgpool_layer.c#L8

About C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\include\limits(80): error : this declaration may not have extern "C" linkage perhaps this error is related to compile with OpenCV 3.0, and maybe this will help you: https://groups.google.com/forum/#!searchin/darknet/opencv$203/darknet/AfZcD-C6yXY/RWp5V2tXBAAJ

[anas-899]

Is anyone succeeded in training YOLO over windows ?
(the test is working but the output weight file from training is not detecting anything)

if so, could you please refer to that Fork?

[abhigarg]

the training was working but the trained weights file have some issues. It
can not be re-used for further training. I cant remember if it was working
for test. I think I used this fork only.

On Thu 25 Aug, 2016, 11:23 anas-899, notifications@github.com wrote:

Is anyone succeeded in training YOLO over windows ?
the test is working but the training is not.

if so, could you please refer to that Fork?

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[anas-899]

@abhigarg yes, I also finished the training successfully but the output weight file is not detecting anything when I made that train on windows.
that's why I think there is a problem by training over the windows.

[abhigarg]

I feel it has something to do with the way file is being written over
windows. Most probably there is something wrong happening there. I remember
trying different forks for different MSVC 2012, 2013, 2015 and all were
giving same problem for training.

On Thu 25 Aug, 2016, 11:31 anas-899, notifications@github.com wrote:

@abhigarg https://github.com/abhigarg yes, I also finished the training
successfully but the output weight file is not detecting anything when I
made that train on windows.
that's why I think there is a problem by training over the windows.

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[anas-899]

@abhigarg I solved the saving weight issue.
It needs to change in @AlexeyAB fork in two position (https://github.com/AlexeyAB/yolo-windows) :
first:
src/parser.c
you should change the line
FILE *fp = fopen(filename, "w");
to
FILE *fp = fopen(filename, "wb");

second:
src/utils.c
you should change the line
if(c==' '||c=='\t'||c=='\n') ++offset;
to
if(c==' '||c=='\t'||c=='\n'||c=='\r') ++offset;

then the training on windows will save the weight correctly.

[abhigarg]

thanks a lot .. I knew it would be somewhere there but could not find the
time to look into it.

I will try these changes and see at my end.

On Fri 26 Aug, 2016, 11:23 anas-899, notifications@github.com wrote:

@abhigarg https://github.com/abhigarg I solved the saving weight issue.
It needs to change in AlexeyAB fork in two position (
https://github.com/AlexeyAB/yolo-windows) :
first:
src/parser.c
you should change the line
FILE *fp = fopen(filename, "w");
to
FILE *fp = fopen(filename, "wb");

second:
src/utils.c
you should change the line
if(c==' '||c=='\t'||c=='\n') ++offset;
to
if(c==' '||c=='\t'||c=='\n'||c=='\r') ++offset;

then the training on windows will save the weight correctly.

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