feat: 폴더구조 변경

+
+# Feature SR
+
+1. train
+
+`!python main.py --dataRoot /content/drive/MyDrive/feature/HR_trainset/features --scaleFactor 4 --featureType p6 --batchSize 16 --cuda --nEpochs 20`
+
+2. inference
+
+`!python inference.py --cuda --model "model.pth" --dataset "/content/drive/MyDrive/feature/features/LR_2" --featureType "p3" --scaleFactor 4`
+
+3. calculate mAP
+
+```
+# [1]
+# install dependencies: 
+!pip install pyyaml==5.1
+import torch, torchvision
+print(torch.__version__, torch.cuda.is_available())
+!gcc --version
+# opencv is pre-installed on colab
+
+# [2]
+# install detectron2: (Colab has CUDA 10.1 + torch 1.8)
+# See https://detectron2.readthedocs.io/tutorials/install.html for instructions
+import torch
+assert torch.__version__.startswith("1.8")   # need to manually install torch 1.8 if Colab changes its default version
+!pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html
+# exit(0)  # After installation, you need to "restart runtime" in Colab. This line can also restart runtime
+
+# [3]
+# Some basic setup:
+# Setup detectron2 logger
+import detectron2
+from detectron2.utils.logger import setup_logger
+setup_logger()
+
+!python calculate_mAP.py --valid_data_path /content/drive/MyDrive/dataset/validset_100/ --model_name VDSR --loss_type MSE --batch_size 16
+```
+
+## colab 링크
 > ipynb 파일이 khuhub에서 제대로 보이지 않아 적어두는 colab link
 > ipynb 파일이 khuhub에서 제대로 보이지 않아 적어두는 colab link
 
 
 ## Colab link
 ## Colab link

-## colab 링크
-- [x4 피쳐 추출]()
-- [x3 피쳐 추출]()
-- [최종 mAP 계산]()
-
-# Feature SR
-
-1. train
-
-`!python main.py --dataRoot /content/drive/MyDrive/feature/HR_trainset/features --scaleFactor 4 --featureType p6 --batchSize 16 --cuda --nEpochs 20`
-
-2. inference
-
-`!python inference.py --cuda --model "model.pth" --dataset "/content/drive/MyDrive/feature/features/LR_2" --featureType "p3" --scaleFactor 4`
-
-3. calculate mAP
-
-```
-# [1]
-# install dependencies: 
-!pip install pyyaml==5.1
-import torch, torchvision
-print(torch.__version__, torch.cuda.is_available())
-!gcc --version
-# opencv is pre-installed on colab
-
-# [2]
-# install detectron2: (Colab has CUDA 10.1 + torch 1.8)
-# See https://detectron2.readthedocs.io/tutorials/install.html for instructions
-import torch
-assert torch.__version__.startswith("1.8")   # need to manually install torch 1.8 if Colab changes its default version
-!pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html
-# exit(0)  # After installation, you need to "restart runtime" in Colab. This line can also restart runtime
-
-# [3]
-# Some basic setup:
-# Setup detectron2 logger
-import detectron2
-from detectron2.utils.logger import setup_logger
-setup_logger()
-
-!python calculate_mAP.py --valid_data_path /content/drive/MyDrive/dataset/validset_100/ --model_name VDSR --loss_type MSE --batch_size 16
-```
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