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Hi!
Could you put which autoencoding models correspond to which LDMs on the table, please?
Maybe I am missing this information somewhere, but it seems it's not clear which one is for which.
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**Is your feature request related to a problem? Please describe.**
Slightly, both DALI and Horovod help decrease training time which has been a problem in the past. Theoretically those are not mutual…
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Voila la sortie du programme
Use standard file APIs to check for files with this prefix.
Data loading
(pre-shuffle)
Data shaping
Data augmentation
Data shuffling
Processus arrêté
il n'y a…
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configs/picodet/picodet_s_320_coco.yml配置的
TrainReader:
sample_transforms:
- AutoAugment: {autoaug_type: v1}
在训练的时候出错了，怎么解决？
训练命令： python tools/train.py -c configs/picodet/picod…
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Hi,
I am trying to replicate your experiments. I was able to successfully follow the Finetuning of Diffusion Model
step mentioned [here](https://github.com/yu-rp/Distribution-Shift-Iverson). Howev…
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## 🤷 작업할 기능 소개
> Data Augmentation 실험
## 🔨 상세 작업 내용
> 상세 작업 내용 열거
- [ ] streamlit 보면서 데이터 관찰
- [ ] 적용할 augmentation 선정해서 모델에 적용
- [ ] 모델 학습시키기
## 📄 레퍼런스
> 참고한 레퍼런스 첨부
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Hello,
I'd like to report a minor bug. I've annotated a dataset with Roboflow. I exported my data in YOLOv8 format but 2 classes are inverted in data.yaml. The model have been trained sucessfully …
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I trained COCO+LVIS SegFormerB0-S1 using the trainval_scripts/train_focalclickB0_S1_cclvs.sh with nothing changed.
And the val result is as follows:
compared with the model published：
I notice …
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Link below datasets which can be used for data pretraining and data augmentation
Comment about quality and how they can complement the main dataset we use
https://github.com/ieee8023/covid-chestxr…
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Approach I'd take :- 1. Utilizing 5 models such as DenseNet121 , Xception, VGG16, ResNet50, and InceptionV3 for image classification.
2. Applying data augmentation (rotation, zooming, flipping,…