Comments (8)
YOLOv9 models should be trained with train_dual.py
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The details of GELAN and YOLOv9 are shown in the paper. Simply to say, YOLOv9 models contain additional aux branch for training. Our experiments are conduct with train-from-scratch strategy, so there are no pre-trained weights. If you want to fine-tune yolov9 on your dataset with train_dual.py
, please use yolov9-c.pt
.
from yolov9.
In the train_dual.py, if '--weights' = 'yolov9-c.pt' , is '--cfg' = 'yolov9-c.yaml' ?
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What is the difference between train.py and train_dual.py In terms of using training methods ?
from yolov9.
from yolov9.
In general.py: device = prediction.device
The error is as follows:
AttributeError: 'list' object has no attribute 'device'
from yolov9.
For inference, please check #11 (comment).
from yolov9.
What is the difference between yolov9-c.pt and gelan-c.pt?
In the train_dual.py, which weight file is commonly used to load pre training weights?
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Related Issues (20)
- Train Yolo9 without bounding box annotation HOT 1
- how to use dataset custom HOT 1
- Difference between striped and regular weight for GELAN-C?
- Convert CoreML
- 如何训练模型 yolov7-af.yaml ? HOT 1
- Why doesn't yolov9-c-seg.pt work in the latest version of ultralytics.
- When will it be created yolov9 classification
- I m tryin t add an attention layer but it seems my tensors aren't matching even after making necessary changes can you please help me to reolve it HOT 1
- No news about paper being accepted? => T, S, M model configs published? HOT 11
- get no detection? HOT 2
- How to evaluate overfitting/underfitting?
- File "C:\Users\achen\CA_work\EdgeCode\EdgeCode\Target\Python\yolov9\models\common.py", line 546, in forward return torch.cat(x, self.d) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 30 but got size 31 for tensor number 1 in the list.
- why are the parameters and FLOPS of yolov9-c twice as much as published in the paper? HOT 3
- Questions on Auxiliary Branches
- How to get the coordinates of the bounding box?
- Incremental Classifier and Representation Learning
- yolov9-e benchmark
- Script for inference HOT 1
- AttributeError: 'list' object has no attribute 'view' HOT 2
- Training on 4090, yolov9-c, converted model is degraded HOT 5
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