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Hi,
could you tell me why the higher the input resolution, the more time YOLO has for detection?
Is it because the size of the filters is larger and it takes longer to post-process?
Does it also…
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For training our own custom objects the guidance is as follows:
_Training Yolo v4 (and v3):
For training cfg/yolov4-custom.cfg download the pre-trained weights-file (162 MB): yolov4.conv.137 (Go…
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I want to train model on yolo but after one step give nan and -nan I have 300 images in different sizes (almost 600*600) and one class to detect Image. before I gave good results with 100 images (%75 …
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I have a simple question that I wasn't able to find an answer to on google. Is it OK to train YOLO with incomplete labeled images?(I only labeled images that are close to the camera and ignored the ob…
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I have compiled darknet according to this https://github.com/AlexeyAB/darknet#how-to-compile-on-windows-using-cmake.
It all went well and I could detect images and videos. But is says I am not using …
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I came across this,
for training for both small and large objects use modified models:
YOLOv4: 3 yolo layers: https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-custom.cfg
A bit…
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Hi! Went through all the documentation/steps and I'm training a custom dataset with 1 class and about 2000 images along with negative annotations and an empty txt file for them. I'm using 1 GPU and ha…
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I am running YOLO v3 on Jetson Xavier, I am using python and OpenCV DNN module for inferencing, and it is pretty slow and seems as if it is not effective for my application. So I am looking for anothe…
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I would like to test if my detection is successful with many images in my trained model.
Is there a way to test all the images in the folder with a single command with image detection?
I want to c…
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I've tried all of the stuff on the README but nothing seems to work
Log:
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** Visual Studio 2022 Developer PowerShell v17…