YOLOv4 Object Detection with Darknet for Windows | Install and Run with CPU and OPENCV

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sudo apt install cmake
sudo apt install make git g++
sudo apt install libopencv-dev python3-opencv
sudo apt install libomp-dev
apt install x11-xserver-utils
sudo apt-get install build-essential

export DISPLAY=:0
DISPLAY=:0 command
DISPLAY=:0 gvim

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  1. Unlocked lab
  2. yolov4
  3. yolo
  4. windows
  5. windows 10
  6. CPU
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Комментарии
Автор

Great video! Can I run this on a Ryzen APU without any NVIDIA gpu?

croquette
Автор

sir it all went well until i RUN ./darknet detector demo cfg/coco.data yolov4-tiny.cfg yolov4-tiny.weights test.mp4
kept showing up Video-stream stopped!
Video-stream stopped!
, the jpg one went well .
It would be kind to solve a solution, thank you sir!!

xlrspco
Автор

can I follow these steps for my Windows 7?

mdnoorzafirmondal
Автор

Sir I am getting e233: cannot open display when i run DISPLAY=:0 gvim. Also when I run darkenet model it shows error could not load weights from yolov3.weights

nishalshah
Автор

can you please help me I have followed as per your instructions only

akshayabusa