Spaces:
Sleeping
Sleeping
File size: 5,084 Bytes
a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb c74a070 a80d6bb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 |
# Copyright 2019-present NAVER Corp.
# CC BY-NC-SA 3.0
# Available only for non-commercial use
import os, pdb
import numpy as np
from PIL import Image
from .dataset import Dataset
from .pair_dataset import PairDataset, StillPairDataset
class AachenImages(Dataset):
"""Loads all images from the Aachen Day-Night dataset"""
def __init__(self, select="db day night", root="data/aachen"):
Dataset.__init__(self)
self.root = root
self.img_dir = "images_upright"
self.select = set(select.split())
assert self.select, "Nothing was selected"
self.imgs = []
root = os.path.join(root, self.img_dir)
for dirpath, _, filenames in os.walk(root):
r = dirpath[len(root) + 1 :]
if not (self.select & set(r.split("/"))):
continue
self.imgs += [os.path.join(r, f) for f in filenames if f.endswith(".jpg")]
self.nimg = len(self.imgs)
assert self.nimg, "Empty Aachen dataset"
def get_key(self, idx):
return self.imgs[idx]
class AachenImages_DB(AachenImages):
"""Only database (db) images."""
def __init__(self, **kw):
AachenImages.__init__(self, select="db", **kw)
self.db_image_idxs = {self.get_tag(i): i for i, f in enumerate(self.imgs)}
def get_tag(self, idx):
# returns image tag == img number (name)
return os.path.split(self.imgs[idx][:-4])[1]
class AachenPairs_StyleTransferDayNight(AachenImages_DB, StillPairDataset):
"""synthetic day-night pairs of images
(night images obtained using autoamtic style transfer from web night images)
"""
def __init__(self, root="data/aachen/style_transfer", **kw):
StillPairDataset.__init__(self)
AachenImages_DB.__init__(self, **kw)
old_root = os.path.join(self.root, self.img_dir)
self.root = os.path.commonprefix((old_root, root))
self.img_dir = ""
newpath = lambda folder, f: os.path.join(folder, f)[len(self.root) :]
self.imgs = [newpath(old_root, f) for f in self.imgs]
self.image_pairs = []
for fname in os.listdir(root):
tag = fname.split(".jpg.st_")[0]
self.image_pairs.append((self.db_image_idxs[tag], len(self.imgs)))
self.imgs.append(newpath(root, fname))
self.nimg = len(self.imgs)
self.npairs = len(self.image_pairs)
assert self.nimg and self.npairs
class AachenPairs_OpticalFlow(AachenImages_DB, PairDataset):
"""Image pairs from Aachen db with optical flow."""
def __init__(self, root="data/aachen/optical_flow", **kw):
PairDataset.__init__(self)
AachenImages_DB.__init__(self, **kw)
self.root_flow = root
# find out the subsest of valid pairs from the list of flow files
flows = {
f for f in os.listdir(os.path.join(root, "flow")) if f.endswith(".png")
}
masks = {
f for f in os.listdir(os.path.join(root, "mask")) if f.endswith(".png")
}
assert flows == masks, "Missing flow or mask pairs"
make_pair = lambda f: tuple(self.db_image_idxs[v] for v in f[:-4].split("_"))
self.image_pairs = [make_pair(f) for f in flows]
self.npairs = len(self.image_pairs)
assert self.nimg and self.npairs
def get_mask_filename(self, pair_idx):
tag_a, tag_b = map(self.get_tag, self.image_pairs[pair_idx])
return os.path.join(self.root_flow, "mask", f"{tag_a}_{tag_b}.png")
def get_mask(self, pair_idx):
return np.asarray(Image.open(self.get_mask_filename(pair_idx)))
def get_flow_filename(self, pair_idx):
tag_a, tag_b = map(self.get_tag, self.image_pairs[pair_idx])
return os.path.join(self.root_flow, "flow", f"{tag_a}_{tag_b}.png")
def get_flow(self, pair_idx):
fname = self.get_flow_filename(pair_idx)
try:
return self._png2flow(fname)
except IOError:
flow = open(fname[:-4], "rb")
help = np.fromfile(flow, np.float32, 1)
assert help == 202021.25
W, H = np.fromfile(flow, np.int32, 2)
flow = np.fromfile(flow, np.float32).reshape((H, W, 2))
return self._flow2png(flow, fname)
def get_pair(self, idx, output=()):
if isinstance(output, str):
output = output.split()
img1, img2 = map(self.get_image, self.image_pairs[idx])
meta = {}
if "flow" in output or "aflow" in output:
flow = self.get_flow(idx)
assert flow.shape[:2] == img1.size[::-1]
meta["flow"] = flow
H, W = flow.shape[:2]
meta["aflow"] = flow + np.mgrid[:H, :W][::-1].transpose(1, 2, 0)
if "mask" in output:
mask = self.get_mask(idx)
assert mask.shape[:2] == img1.size[::-1]
meta["mask"] = mask
return img1, img2, meta
if __name__ == "__main__":
print(aachen_db_images)
print(aachen_style_transfer_pairs)
print(aachen_flow_pairs)
pdb.set_trace()
|