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implement the classifiaction of barred and unbarred galaxies using resnet121
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---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Cell In[23], line 1
----> 1 model.fit(
…
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I have built PhoenixOS in the container provided in the document, and then I want to test C/R of ResNet program in the same container, but there seems to be a problem with the API forwarding.
I fir…
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### Feature Description
implement the model from [github](https://github.com/czyczyyzc/CondLSTR)
### Definition of Done
- fully include the above model
### Effort Estimate
_No response_
### Test…
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## 📌 어떤 기능인가요?
> 개발할 기능에 대해 설명해주세요.
- ResNet 학습을 위한 이미지 데이터 전처리
## 📌 작업 상세 내용
- [x] preprocess_face.py : 이미지 전처리 python 코드 작성
## 📌 참고
- https://github.com/d102-preview/preview/blob/main/api-ai/ai/ipy…
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Currently, I already know how to deploy different versions of an ordinary model. Suppose we now have two models, namely resnet_v1.pth and resnet_v2.pth. Then, in my model_repo/resnet_pytorch directory…
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Is encoder_sample used in the code resnet or dinov2_vitb14? If it is dinov2_vitb14, paddingsize14 cannot be divisible by imagesize256? Is there a problem?
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Hello, I'm trying to reload a model after quantizing it and saving it to a checkpoint file + the quantization map:
```
import json
import torch
import diffusers
import optimum.quanto
from op…
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Dear authors,
I would like to ask you two questions regarding your pretraining for the vision module encoder (ResNet-34):
- in the paper it is mentioned that you pretrained ResNet-34 + FPN for a tex…
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# What Makes ResNet Good Model? | snoop2head's blog
Residual Connection is Good, Up to Now ResNet was introduced in 2015 on the paper Deep Residual Learning for Image Recognition. Nevertheless, resid…