Comments (3)
ThisIsIsaac
commented on July 2, 2024
#14 (comment)
디버깅이 어느정도 됬으니 이건 일단 우선순위를 낮추겠음
EDIT:
warped 된 이미지를 보니까 실제로 워핑이 잘된게 아니라 그냥 하나의 이미지를 기억하는것으로 추정이됨. 그러니 gamma, beta, 와 기타 웨이트를 보는게 맞을 것 같아서 구현하기로 함,
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DongHwanJang
commented on July 2, 2024
@ThisIsIsaac 이거는 wandb로 해결된거지?
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ThisIsIsaac
commented on July 2, 2024
아니 visualize 방식이 도움이 안돼서 내가 수동으로 wandb 에 쌓아야할듯.
아니다 wandb 가 충분히 잘해준다
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Related Issues (20)
- Batch 1 이상이면 터짐 HOT 4
- attention_map, fake_AB 등이 nan으로 뜸 HOT 4
- Warped image useless HOT 3
- batch size 키워도 gpu util 이 너무 낮음
- confmap gradient 유무 확인 HOT 2
- Loss lambda 찾기 HOT 2
- decoder_only와 tgt_value_direct 에서도 conf_map update 가 되는 이유 HOT 1
- Discriminator 고도화 HOT 7
- 각 Loss 별로 껐다 키면서 loss에 따라 update가 잘 되고 있는지 check
- D에 들어가는 input을 lab에서 rgb로만 바꿨는데도 VGG loss가 이상하다....?? HOT 1
- Graidnet update 가 14 파라미터만 되는 것 같음 HOT 1
- loss lambda 계산이 잘못됨 HOT 6
- VGG Input 및 Condition 수정 필요 HOT 2
- correspondence subnet 을 독립적으로 트레이닝 HOT 3
- non local block 에 하나의 VGG 만 사용 HOT 1
- error during calculating fid score HOT 1
- model save/load 하는 부분이 이상해 보임
- Attention checkerboard pattern
- Decoder에게 refine을 맡기는것이 불가능하다 HOT 7
- AffinNet 내부의 격자무늬 HOT 1
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