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QTNet - image resolution #5

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BehdadSDP opened this issue Nov 14, 2023 · 3 comments
Open

QTNet - image resolution #5

BehdadSDP opened this issue Nov 14, 2023 · 3 comments
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question Further information is requested

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@BehdadSDP
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Hi, I'm trying to train the QTNet, and I noticed that when I change the format of the training pictures, the quality and resolution decrease. Is this normal?

@BehdadSDP BehdadSDP added the question Further information is requested label Nov 14, 2023
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👋 Hello @BehdadSDP, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

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Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

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@2029686068
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您好,请问数据集下载的多大的,我看里面好多数据集,还有那个vgg16的预训练权重是干什么的

@qinhongda8
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Hi, I'm trying to train the QTNet, and I noticed that when I change the format of the training pictures, the quality and resolution decrease. Is this normal?

That's normal. In YOLO training, we've set the image resize for training to 416. To reduce computational resources, we pre-resize the images to 416 in QTNet. This won't impact the subsequent detector training. You can also configure QTNet to not resize the images and reduce resolution if needed.

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