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Hi, thank you for your contribution. I trained my data set in https://github.com/jwchoi384/Gaussian_YOLOv3 and it can be trained normally, but when I train Gaussian modlel under your darknet fil…
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I saw in the issue board that some people are struggling to use the [Gaussian_Yolo] layer.
https://github.com/AlexeyAB/darknet/issues/6476
In my case, I get NaN or very large loss (according to cfg …
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I used yolov4 to train coco2017 data sets on google cloud platform.
After about 400 steps, the loss value is about 31.
After about 900 steps, the loss value begins to rise, and finally the loss va…
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for training with a large number of objects in each image, add the parameter max=200 or higher value in the last [yolo]-layer or [region]-layer in your cfg-file (the global maximum number of objects t…
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Hi,
First thanks for the very interesting work.
I tried to reproduce the results of your simulation experiment and faced following challenges -
a) Tried to run it using Octave (as I do not h…
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When i used the yolov4-tiny.cfg to train my own models.I found that the mask of the last two yolo layers is [3,4,5][1,2,3] ,instead of[3,4,5][1,2,3]. Why not used [3,4,5] [1,2,3]??Can anyone tell me??
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```
./darknet detector train data_file cfg_file -gpus 0,1,2,3 -map
CUDA-version: 11020 (11020), cuDNN: 8.1.0, CUDNN_HALF=1, GPU count: 4
CUDNN_HALF=1
OpenCV version: 4.5.1
0 : compute…
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in yolo v4, we change (following only show one layer)
[yolo]
mask = 6,7,8
anchors = 25, 20, 22, 30, 38, 37, 27,124, 117, 32, 64, 62, 163, 84, 97,162, 287,284
classes=6
num=9
jitter=.3
ign…
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I fine tuning YOLOv4 with my custom dataset - 4 classes.
```
159 conv 1024 3 x 3/ 1 16 x 16 x 512 -> 16 x 16 x1024 2.416 BF
160 conv 27 1 x 1/ 1 16 x 16 x1024 -> …
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If something doesn’t work for you, then show 2 screenshots:
1. screenshots of your issue
The loss seems not normal when training the custom date by use yolov4-csp and yolov4x-mish, but it is normal …