Spaces:
Runtime error
Runtime error
Update src/data/dataset_csv.py
Browse files- src/data/dataset_csv.py +2 -2
src/data/dataset_csv.py
CHANGED
|
@@ -12,7 +12,7 @@ import nibabel as nib
|
|
| 12 |
import json
|
| 13 |
|
| 14 |
from tqdm import tqdm
|
| 15 |
-
from .MRI_load import load_mris
|
| 16 |
from collections import defaultdict
|
| 17 |
from time import time
|
| 18 |
from copy import deepcopy
|
|
@@ -142,7 +142,7 @@ class CSVDataset:
|
|
| 142 |
elif img_mode == 2:
|
| 143 |
# load MRIs and use swinunetr model to get the embeddings
|
| 144 |
print('img_mode is 2')
|
| 145 |
-
embedding_dict = load_mris.get_emb('filename', df, arch=arch, transforms=transforms, stripped=stripped)
|
| 146 |
mri_embeddings = []
|
| 147 |
for index, row in df.iterrows():
|
| 148 |
filename = row['filename']
|
|
|
|
| 12 |
import json
|
| 13 |
|
| 14 |
from tqdm import tqdm
|
| 15 |
+
#from .MRI_load import load_mris
|
| 16 |
from collections import defaultdict
|
| 17 |
from time import time
|
| 18 |
from copy import deepcopy
|
|
|
|
| 142 |
elif img_mode == 2:
|
| 143 |
# load MRIs and use swinunetr model to get the embeddings
|
| 144 |
print('img_mode is 2')
|
| 145 |
+
#embedding_dict = load_mris.get_emb('filename', df, arch=arch, transforms=transforms, stripped=stripped)
|
| 146 |
mri_embeddings = []
|
| 147 |
for index, row in df.iterrows():
|
| 148 |
filename = row['filename']
|