Comments (2)
train_dual: one aux branch + one main branch.
triple_branch: two aux branches + one main branch
We provide these codes to show how to extend aux branches for training. Everyone could follow the rule to make related researches. For example, we also extend train_multiple to implement training strategy which is similar to Co-DETR.
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@WongKinYiu After carefully comparing the three files, I noticed that there are no differences. Is the main distinction in the yaml file? What would happen if I train yolov9-e using train.py?
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Related Issues (20)
- question about val.py HOT 1
- about wandb HOT 1
- TensorRT - End2End support for Object Detection and Instance Segmentation
- save-period or save_period ? HOT 1
- Exporting predicted images
- Training with a npy file HOT 2
- Couldn't find YOLOv9-S and YOLOV9-T weights? HOT 3
- with aux branch or without aux branch HOT 1
- Doesn't the author seem to use the Adown module in yolov9upose?
- P,R,mAP50 and mAP50-95 is all 0 HOT 3
- Attention mechanism HOT 3
- Reproduced GELAN-S (similar to YOLOv9-S without PGI trick) HOT 5
- YOLOv9 Speed estimation HOT 1
- A question about utils\general.py: prediction[0] or prediction[0][0]? HOT 1
- 3090正常运行,换成4090 读取数据的时候就开始报超时错误! HOT 2
- About batchsize HOT 8
- pycocotools unable to run: [Errno 2] No such file or directory: '/yolov9/annotations/instances_val2017.json'
- When training YOLOv9 to segment a specific category, you may encounter an error.
- Can it be used for rotating target detection?
- Can it be used for rotating target detection? HOT 1
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