Training YOLOv4 CNN's Using darknet

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Revision 05/13/20, 12:00 PM: Debugging: I was able to build the "Debug x64" version of darknet (YOLOv3 and YOLOv4) by changing Project Properties -- C/C++ -- Code Generation -- Runtime Library from "Multi-threaded Debug DLL (/MDd)" to "Multi-threaded DLL (/MD)". I wonder what all the differences are, and if there will be any complications?
Answer 05/17/20, 12:47 AM: Reading images into OpenCV Mat objects fails when launching a Debug build and using OpenCV Release libraries.

  1. Tom Lever
  2. darknet
  3. YOLOv4
  4. convolutional neural networks
  5. neural networks
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Комментарии
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Thank you Tom, you really guided me through it with your tutorial!

mrblonde
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Really great training tutorial Tom :) Well done!

Augmented_AI
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Trying to run the power shell command in an anaconda prompt as I don’t have access to my powershell (IT security issue). It’s not recognising the command and I don’t have the darknet executable in the specified location?

callumbrown
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Hello Tom, thanks for sharing your knowledge in this video. At 29:08, you said we need to set classes=1. If we have multiple classes, do we still need to have this set to classes=1, or classes=n (n number of classes)? thanks!

RyanMartinRAM
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