Comments (6)
Never heard of that file before. Obviously part of OpenCV. Anything special about how you installed or built OpenCV?
Doing a google search on that name says it has something to do with augmented reality. https://docs.google.com/document/d/1QU9KoBtjSM2kF6ITOjQ76xqL7H0TEtXriJX5kwi9Kgc/edit
ArUco is an OpenSource library for detecting squared fiducial markers in images. Additionally, if the camera is calibrated, you can estimate the pose of the camera with respect to the markers.
This is not something used by DarkHelp. Not sure what you've done that results in this error.
from darkhelp.
Hi,
I followed this guide a few days ago:
https://techzizou.com/yolo-installation-on-windows-and-linux/#install_windows
there were 3 options I choose the first one:
METHOD 1: Install OpenCV using Windows installer
Download OpenCV latest release Windows installer from https://opencv.org/releases/ .
Run the exe file, extract it to C drive and install it.
Lastly, give the following paths in the path environment variable for your System variables.
METHOD 2: Build OpenCV from source
METHOD 3: Build OpenCV from source with CUDA support to enable OpenCV-DNN-Cuda module
any suggestions?
from darkhelp.
My suggestion is to follow the instructions on the DarkHelp github page. See the readme for details.
from darkhelp.
Specifically: https://github.com/stephanecharette/DarkHelp#building-darknet-windows
Or: https://github.com/stephanecharette/DarkHelp/blob/master/readme_windows.txt
from darkhelp.
Got It to work! add to uninstall opencv and build it again.
I am trying to install the DarkMark but I do to see any instructions for windows?
from darkhelp.
DarkMark doesn't have Windows instructions. Install it in a Virtualbox VM or in WSL2 in Windows 10.
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Related Issues (20)
- make error in Linux HOT 8
- Can I use DarkHelp along with YOLOV4? Can DarkHelp sends the output of YOLOv4 Darknet via tcp/ip? HOT 1
- Run on Python HOT 2
- Compilation error on Raspberry Pi 4 / CM4 : cannot convert ‘const long long int*’ to ‘const time_t*’ {aka ‘const long int*’} HOT 4
- Is DarkHelp compatible with Yolov5? HOT 1
- json output with detection for video inference HOT 1
- Issue with Inference - Process finished with exit code 134 (interrupted by signal 6: SIGABRT) HOT 5
- How can I install DarkHelp if I have installed Darknet using Cmake? HOT 3
- Compiling on Rocky Linux HOT 3
- an classification problem HOT 1
- 'undefined reference to function' after -static compilation using make for DarkHelp project HOT 3
- std namespace errors while compiling using cmake HOT 4
- CMAKE build issue Windows Server: Cant find FindCUDNN.cmake CUDNNconfig.cmake CUDNN_config.cmake HOT 2
- yolov7 HOT 2
- DarkHelp Compile error mac os x HOT 1
- Gtk-ERROR **
- cannot open source file "DarkHelp.hpp" HOT 4
- DarkHelp Crashes when using Single Channel Networks and OpenCV HOT 3
- Confused about resize aspect ratio training/inferencing HOT 3
- Installing DarkHelp on Docker in Mac Mini M1. HOT 2
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from darkhelp.