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synthetic_burst_val_set.py
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synthetic_burst_val_set.py
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import torch
import cv2
import numpy as np
class SyntheticBurstVal(torch.utils.data.Dataset):
""" Synthetic burst validation set. The validation burst have been generated using the same synthetic pipeline as
employed in SyntheticBurst dataset.
"""
def __init__(self, root):
self.root = root
self.burst_list = list(range(300))
self.burst_size = 14
def __len__(self):
return len(self.burst_list)
def _read_burst_image(self, index, image_id):
im = cv2.imread('{}/{:04d}/im_raw_{:02d}.png'.format(self.root, index, image_id), cv2.IMREAD_UNCHANGED)
im_t = torch.from_numpy(im.astype(np.float32)).permute(2, 0, 1).float() / (2**14)
return im_t
def __getitem__(self, index):
""" Generates a synthetic burst
args:
index: Index of the burst
returns:
burst: LR RAW burst, a torch tensor of shape
[14, 4, 48, 48]
The 4 channels correspond to 'R', 'G', 'G', and 'B' values in the RGGB bayer mosaick.
seq_name: Name of the burst sequence
"""
burst_name = '{:04d}'.format(index)
burst = [self._read_burst_image(index, i) for i in range(self.burst_size)]
burst = torch.stack(burst, 0)
return burst, burst_name