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Did anyone calculate the number of calculations happen in YOLO model? #12753
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@aravindchakravarti hello! 👋 The total computational cost for a model like YOLOv5 can be measured in terms of FLOPs (Floating Point Operations), which is a common metric for understanding the complexity of neural networks. While we don't have a specific command that outputs the total FLOPs for YOLOv5 directly in the repository, you can use various profiling tools to calculate it. For a detailed breakdown of the layers and operations, you might want to use a neural network profiling tool that can analyze the model and provide you with the total FLOPs. The YOLOv5 documentation provides guidance on how to use the model and its various features, but for FLOPs calculation, you would typically need to use an external tool or script. If you're interested in contributing to the YOLOv5 project with a FLOPs calculation feature, we always welcome contributions from the community! 😊 |
Thanks @glenn-jocher !! |
You're welcome, @aravindchakravarti! 😄 I'm glad to hear that you're considering contributing. If you make any progress or if you have further questions, the Ultralytics community and I are here to help. Good luck with your FLOPs calculations, and we look forward to any updates you might have in the future! Happy coding! 🚀 |
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help. For additional resources and information, please see the links below:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ |
Thanks @glenn-jocher !! |
You're welcome, @zhou-huan-1! 😄 Great to hear that you're considering contributing! If you make any progress on the FLOPs calculations or need further assistance, feel free to reach out. The Ultralytics community and I are here to help. Looking forward to your updates, and happy coding! 🚀 |
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Question
I know, how to calculate
computation cost
for a convolutional layer.The computation cost is =
DK · DK · M · N · DF · DF
Where,
M = Number of input channels
N = Number of output channels
DK · DK = Kernel size
DF · DF = Output feature map
I am wondering if anyone has done total computing cost
YOLO
V5
model.Additional
No response
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