Hi ,
I did some experiment with sequence of item fetched by databunch and sequence in which open is called with path of fns.Results makes things confusing for me
Below is output when i build data bunch. I have put the print(fn) in open function of ImageList.
src = (
CustomImageList.from_df(df_train,PATH ,cols=‘id_code’,folder=‘train_images’,suffix=’.png’)
.split_by_idx(val_idx)
.label_from_df(cols=1,label_cls=FloatList)
)
data = (
src.transform(tfms,size=sz,resize_method =ResizeMethod.SQUISH,padding_mode='zeros')
.databunch(bs=bs)
.normalize(imagenet_stats)
)
fn ../input/aptos2019-blindness-detection/train_images/000c1434d8d7.png
fn ../input/aptos2019-blindness-detection/train_images/001639a390f0.png
fn ../input/aptos2019-blindness-detection/train_images/000c1434d8d7.png
fn ../input/aptos2019-blindness-detection/train_images/2ecbc2e3f239.png
fn ../input/retinopathy-train-2015/rescaled_train_896/rescaled_train_896/5695_right.png
df_train[df_train.id_code.isin(['000c1434d8d7','001639a390f0','000c1434d8d7','2ecbc2e3f239','5695_right'])]
| 0 | 000c1434d8d7 | 2.0 |
|---|---|---|
| 1 | 001639a390f0 | 4.0 |
| 647 | 2ecbc2e3f239 | 1.0 |
| 4996 | 5695_right | 1.0 |
Label sequence data.train_ds.y.items[0:5]
array([2., 1., 0., 0., 4.], dtype=float32)
sequence of labels in first case is 2,4,1,1 which is different from what fetched by y.items. shouldnt both be same ?