Comments (4)
ThisIsIsaac
commented on June 21, 2024
7
LAB 읽는 방식 바꾸기 전
warped image 는 괜찮게 나오지만 오히려 synthesized image 가 엄청 안나옴. gamma, beta 값을 뜯어보고 디버깅을 진행해야할듯.
이 이슈를 진행:
#18
LAB 읽는 방식 바꾼 후 + 새로운 VGG
200 iteration
Reference 와 synthesized. 진짜 너무 아름답다 ㅠㅠㅠㅠㅠㅠㅠㅠㅠㅠㅠ 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉 🎉
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ThisIsIsaac
commented on June 21, 2024
1
첫 시도:
- Ref용 vgg는 그냥 rgb pretrained vgg
- Target용 vgg는 rgb pretrained를 grayscale 로 transfer learning
- 둘다 freeze
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deepkyu
commented on June 21, 2024
L fine-tuned VGG는 어느 정도 Train이 되었음 (49 epoch, val : Top-1 6970 % / Top-5 8990 %).
이에 vgg_change branch에서 VGG 변경 작업 진행 및 완료
현재는 둘다 freeze 된 상태임 (requires_grad = False)
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DongHwanJang
commented on June 21, 2024
진짜 오버피팅 돼서 다행이다ㅋㅋㅋㅋㅋ 어휴ㅠㅠ 한시름 놨다. 이제시작이긴 하만ㅜㅜ👍👍👍
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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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