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QTNet - image resolution #5
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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 [email protected]. RequirementsPython>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started: $ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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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 |
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. |
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?
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