Comments (5)
It will be improved in the next releases, its a beta, as you know, it will be better more accurate in the next releases because it works very well for some people and it works well for me, it varies according to the processors that can analyze the neural network , thats okay, thank you for the clarification, i will work hard to solve this.
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Im checking it with the help of many people to fix these problems.
if you get this messege [WARN:[email protected]], it's a warning issued by the opencv library because it's unable to recognize the CPU because it interferes with CUDA because GPU is disabled in this version, It's okay, it's just a warning, ignore this message because it doesnt stop the program from working, just a warning I will solve this bug in the next release.
this show to some people and may be one of the reasons for the inaccuracy, i will fix it thx for feedback
from aimi.
Im checking it with the help of many people to fix these problems.
if you get this messege [WARN:[email protected]], it's a warning issued by the opencv library because it's unable to recognize the CPU because it interferes with CUDA because GPU is disabled in this version, It's okay, it's just a warning, ignore this message because it doesnt stop the program from working, just a warning I will solve this bug in the next release.
this show to some people and may be one of the reasons for the inaccuracy, i will fix it thx for feedback
Thank you, have a good work :)
from aimi.
My CPU is an Intel i7 12650H and my GPU is an RTX3070 LAPTOP. I can't understand why it's not working properly as I'm certain I did everything correctly, especially since I've even disabled pointer precision in the mouse settings. No problem, I'll wait for you and hopefully, you'll release an update today :)
error:
[ WARN:[email protected]] global ocl4dnn_conv_spatial.cpp:1923 cv::dnn::ocl4dnn::OCL4DNNConvSpatial::loadTunedConfig OpenCV(ocl4dnn): consider to specify kernel configuration cache directory through OPENCV_OCL4DNN_CONFIG_PATH parameter.
OpenCL program build log: dnn/dummy
Status -11: CL_BUILD_PROGRAM_FAILURE
-cl-no-subgroup-ifp
Error in processing command line: Don't understand command line argument "-cl-no-subgroup-ifp"!
It will be improved in the next releases, its a beta, as you know, it will be better more accurate in the next releases because it works very well for some people and it works well for me, it varies according to the processors that can analyze the neural network , thats okay, thank you for the clarification, i will work hard to solve this.
from aimi.
It will work fine when I make the next version work on GPU by CUDA , because the GPU works more accurately than the CPU to analyzing the neural network.
from aimi.
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