Comments (7)
Hello @sky-fly97, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Google Colab Notebook, Docker Image, and GCP Quickstart Guide for example environments.
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 model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:
- Cloud-based AI surveillance systems operating on hundreds of HD video streams in realtime.
- Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
- Custom data training, hyperparameter evolution, and model exportation to any destination.
For more information please visit https://www.ultralytics.com.
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@sky-fly97 we are continuously researching speed and accuracy improvements. If you have proven ideas that show quantitative improvement we'd be happy to integrate them into our work.
If you have GPU resources you'd like to contribute to the research we can send you docker files to run as well, which will speed up our research and lead to improvements faster.
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@sky-fly97 new models have been released yesterday which are smaller and faster. See the readme table for updated speeds.
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@sky-fly97 new models have been released yesterday which are smaller and faster. See the readme table for updated speeds.
Wow, Thank you for your efforts!
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speed of the smallest model inference on cpu is 3 fps? could you please give me some advice on how to speed up?
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@sljlp I think for any ML model in object detection, CPU performance will always be quite slow. YOLOv5s is faster on CPU than efficientdet D0, but as you see it still does not compare to GPU speeds, or neural engines like Apple's 5 TOPS ANE speed. These are really the only acceptable solutions if you want fast inference today.
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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Related Issues (20)
- is there a max limit to --imgsz ? HOT 6
- RuntimeError: The size of tensor a (24) must match the size of tensor b (20) at non-singleton dimension 2 HOT 5
- How to show count in screen using yolov5 HOT 6
- How to change annotations indices in memory without changing the dataset locally? HOT 3
- How to add a button inside the video stream of yolov5. HOT 1
- Extract feature vector from the bounding box predicted together with the coordinates and class output vector HOT 5
- augmentation in validation HOT 1
- About detect.py HOT 9
- How to close window in yolov5 detection HOT 1
- Training YoloV5n on a custom dataset, best.pt is bigger than yolov5n official size HOT 4
- Data Augmentation HOT 1
- about eval.py HOT 1
- Need advice for training a YOLOv5-obb model HOT 2
- Code doubts about the model in the detection process HOT 2
- predicting from 2D array HOT 2
- Same yolov5s training, but one over-fitting and one training is very good. HOT 2
- Hello, I have some questions about the YOLOv5 code. Could you please help me answer them? HOT 2
- Different results from train.py and val.py HOT 1
- How to change training input image size? HOT 8
- Cannot select specific coda device HOT 2
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