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Hi @AlexeyAB I am trying to run tiny models using opencv dnn on my **armv7** system. I successfully used **opencv 4.3+yolov3-tiny-3l** (before yolov4-tiny release) and it's inference time was **~1.5s*…
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This is a question, not a bug. @AlexeyAB is there a way to incorporate the "Visually Coherent Image Mixup" augmentation strategy? Amazon recently published a paper that claims that this approach resul…
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The training is happily chugging along, but I was curious as to about when would I start to see some learning progress. I was looking around for an equation or estimation of the number of iterations …
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**Hi, @AlexeyAB! I've performed my first "test" transfer learning on 3 classes: Person, Human leg and Human foot from Google Open Images Dataset. I was following your guidelines in the README. They ar…
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**Mosaic-data** augmentation (like [CutMix](https://arxiv.org/abs/1905.04899) augmentation): https://github.com/AlexeyAB/darknet/issues/3114#issuecomment-552158041
* Mosaic-data mAP increasing: htt…
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I have trained a detector (yolov3-tiny version with conv.11 weight) to detect 5 objects. The performance is okay, but I want higher accuracy. Then I try yolov4-tiny. They have different result totally…
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Guys,
The wrong objects are being detected with tkDNN that are not with AlexeyAB repo. In my case, it seems that classifications were being swapped. So AlexeyAB repo works consistently at multiple …
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Hi, @AlexeyAB
I train my own dataset basing on yolov4-tiny.conv.29. And chang the anchors.
The loss diverged at about 350'000 iterations.
My labels have many small objects, I think whether the sm…
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I was unable to use an already trained model due to this error:
`ValueError: Model and weights file do not match.`
Is it possible that it's because i used a modified config to train it? Is there…
Cfor3 updated
3 years ago
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Hello,
I don't understand, the results are perfect with my darknet model but after converting to TF, the detection results are two times bigger for the bounding boxes.
Do I need to change somethin…