Comments (6)
Weird, which one of the examples are you trying to run? Did you try to use the existing VS project files?
from ofxdarknet.
i tried both,the default existing example-yolo2,and also i did using pg to regenerate this example. both failed. weird stuff is that i'm running the existing example-yolo2,got different bunch of erros from darknet source file, the CvCapture undeclared etc....
are you sure this option is correct ?C/C++ -> All Options -> Compile As -> Default
i'm using vs2015 update3 version with lastest OF master
from ofxdarknet.
Yeah that option is necessary, so VS doesn't try to compile the CUDA kernel source files with a C++ compiler..
The only difference between our setups seems to be that I am using one of the OF releases (0.9.3 & 0.9.8). I am not aware if there were any changes regarding ofxOpenCv recently? Maybe it would be worth a try to use one of the releases you can download from the oF site.
from ofxdarknet.
@liquidzym maybe this version here is going to make it work for you. #23
from ofxdarknet.
Seeing the same issue on osx - it seems like it is an include confusion problem; OpenCV has "matrix.h" (opencv/include/opencv2/flann/matrix.h) but darknet also has a "matrix.h" (darknet/include/matrix.h)
from ofxdarknet.
I ended up renaming matrix.h in darknet to matrix_.h and changing all the #includes within dakrnet to "matrix_.h" to make it work
from ofxdarknet.
Related Issues (20)
- GPU mode issue HOT 3
- YOLO 9000 HOT 1
- All examples crashing when loading layer 24 HOT 3
- YOLO examples don't align with current code state HOT 3
- Eclipse Problem HOT 1
- Video streaming HOT 3
- Can't run in Linux (Ubuntu 16.04) HOT 6
- Example quits on init() without warning/errors (Windows 10 + OF0.9.8) HOT 1
- GPU=1 make fails HOT 4
- can't find visual studion .props files HOT 1
- COCO dataset HOT 1
- issue with new version cuda 9.1 HOT 1
- Extract image features from darknet
- trying to run examples but they close immediately after opening HOT 1
- Windows build errors help? HOT 1
- Can't cmake Darknet HOT 1
- YOLOv3 HOT 11
- How to run live stream
- Segmentation fault (core dumped) HOT 6
- yolo 9000 for object detection
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