Open ani16 opened 3 years ago
Wouldn't you simply leave OPENMP=0
on line 6 of the makefile?
Run detection by using OpenCV: https://docs.opencv.org/master/da/d9d/tutorial_dnn_yolo.html the speed of detection will be very fast. or other frameworks: https://github.com/AlexeyAB/darknet#yolo-v4-in-other-frameworks
Hi
Thanks for replying.
@stephanecharette: It will run the code with one core if I do openmp=0. I want to utilize all cores of a system.
@AlexeyAB : My hardware is very tighty coupled "free scale linux , 32-bit , 4 cores and 4 GB RAM", allowing only limited calls, not supporting OPENMP call. How can I accelerate detection on hardware without openmp? Does I really need pthread library to get all cores utilized or other method is also there?
"https://github.com/AlexeyAB/darknet#yolo-v4-in-other-frameworks"
I am implementing yolov3. Is there any method to accelerate detection on hardware for YOLOv3.
Hi
I tried executing with one core on hardware..It throws an linking error.. actually Hardware is tightly coupled and don't support function __sqrt_finite.
Attached screenshot for reference. ![Uploading PXL_20210106_103840449.jpg…]()
Hello
I want to run yolo on hardware and it support only pthreads Library of C, not open mp..is it possible in yolo to run multi threads using pthreads not open mp library.
Thanks in advance