Datasets:
Size:
10K<n<100K
License:
test commit
Browse files- data/images_1730238419.175364.tar +3 -0
- tomatotest.py +56 -0
data/images_1730238419.175364.tar
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:81bdfde7484ffae73be482ee3aefdb4f58bbe1b3031130b183e6d8024d2a6824
|
3 |
+
size 880778240
|
tomatotest.py
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import io
|
2 |
+
from PIL import Image
|
3 |
+
from datasets import GeneratorBasedBuilder, DatasetInfo, Features, SplitGenerator, Value, Array2D, Split
|
4 |
+
import datasets
|
5 |
+
import OpenEXR
|
6 |
+
import Imath
|
7 |
+
import numpy as np
|
8 |
+
import h5py
|
9 |
+
class RGBSemanticDepthDataset(GeneratorBasedBuilder):
|
10 |
+
def _info(self):
|
11 |
+
return DatasetInfo(
|
12 |
+
features=Features({
|
13 |
+
"left_rgb": datasets.Image(),
|
14 |
+
"right_rgb": datasets.Image(),
|
15 |
+
"left_seg": datasets.Image(),
|
16 |
+
"left_depth": datasets.Image(),
|
17 |
+
"right_depth": datasets.Image(),
|
18 |
+
})
|
19 |
+
)
|
20 |
+
def _h5_loader(self, bytes_stream):
|
21 |
+
# Reference: https://github.com/dwofk/fast-depth/blob/master/dataloaders/dataloader.py#L8-L13
|
22 |
+
f = io.BytesIO(bytes_stream)
|
23 |
+
h5f = h5py.File(f, "r")
|
24 |
+
left_rgb = self._read_jpg(h5f['rgb_left'])
|
25 |
+
right_rgb = self._read_jpg(h5f['rgb_right'])
|
26 |
+
left_seg = h5f['seg_left']
|
27 |
+
left_depth = h5f['depth_left'].astype(np.float32)
|
28 |
+
right_depth = h5f['depth_right'].astype(np.float32)
|
29 |
+
print(left_rgb.shape, left_depth.shape, left_seg.shape)
|
30 |
+
return left_rgb, right_rgb, left_seg, left_depth, right_depth
|
31 |
+
def _read_jpg(self, bytes_stream):
|
32 |
+
return Image.open(io.BytesIO(bytes_stream))
|
33 |
+
|
34 |
+
def _split_generators(self, dl_manager):
|
35 |
+
archives = dl_manager.download({"train":["data/images_1729368304.063240.tar"]})
|
36 |
+
return [
|
37 |
+
SplitGenerator(
|
38 |
+
name=Split.TRAIN,
|
39 |
+
gen_kwargs={
|
40 |
+
"archives": [dl_manager.iter_archive(archive) for archive in archives["train"]],
|
41 |
+
},
|
42 |
+
),
|
43 |
+
]
|
44 |
+
|
45 |
+
def _generate_examples(self, archives):
|
46 |
+
for archive in archives:
|
47 |
+
for path, file in archive:
|
48 |
+
print(path)
|
49 |
+
left_rgb, right_rgb, left_seg, left_depth, right_depth = self._h5_loader(file.read())
|
50 |
+
yield path, {
|
51 |
+
"left_rgb": left_rgb,
|
52 |
+
"right_rgb": right_rgb,
|
53 |
+
"left_seg": left_seg,
|
54 |
+
"left_depth": left_depth,
|
55 |
+
"right_depth": right_depth,
|
56 |
+
}
|