File size: 2,757 Bytes
872b0a0 | 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 | import os
import random
from glob import glob
import numpy as np
import torch
from torch.utils.data import Dataset
from utils import read, read_kitti_flow
class Sintel_Clean(Dataset):
def __init__(self, root_dir='/home/ltkong/Datasets/MPI-Sintel/training'):
self.img1_list = []
self.img2_list = []
self.flow_list = []
source_dir = os.path.join(root_dir, 'clean')
target_dir = os.path.join(root_dir, 'flow')
for sequence_id in os.listdir(source_dir):
sequence_dir = os.path.join(source_dir, sequence_id)
imgs_list = sorted(glob(os.path.join(sequence_dir, '*.png')))
for i in range(len(imgs_list)-1):
file_name = imgs_list[i].split('.')[-2].split('/')[-1]
self.img1_list.append(imgs_list[i])
self.img2_list.append(imgs_list[i+1])
self.flow_list.append(os.path.join(target_dir, sequence_id, file_name+'.flo'))
assert len(self.img1_list) == len(self.img2_list)
assert len(self.img1_list) == len(self.flow_list)
self.length = len(self.img1_list)
print('Found {} Image Pairs'.format(self.length))
def __len__(self):
return self.length
def __getitem__(self, idx):
img1 = read(self.img1_list[idx])
img2 = read(self.img2_list[idx])
flow = read(self.flow_list[idx])
img1 = torch.from_numpy(img1.transpose((2, 0, 1)).astype(np.float32) / 255.0)
img2 = torch.from_numpy(img2.transpose((2, 0, 1)).astype(np.float32) / 255.0)
flow = torch.from_numpy(flow.transpose((2, 0, 1)).astype(np.float32))
return img1, img2, flow
class KITTI_2015(Dataset):
def __init__(self, root_dir='/home/ltkong/Datasets/KITTI/Optical_Flow_Evaluation_2015/training'):
self.img1_list = sorted(glob(os.path.join(root_dir, 'image_2/*_10.png')))
self.img2_list = sorted(glob(os.path.join(root_dir, 'image_2/*_11.png')))
self.flow_list = sorted(glob(os.path.join(root_dir, 'flow_occ/*.png')))
assert len(self.img1_list) == len(self.img2_list)
assert len(self.img1_list) == len(self.flow_list)
self.length = len(self.img1_list)
print('Found {} Image Pairs'.format(self.length))
def __len__(self):
return self.length
def __getitem__(self, idx):
img1 = read(self.img1_list[idx])
img2 = read(self.img2_list[idx])
flow = read_kitti_flow(self.flow_list[idx])
img1 = torch.from_numpy(img1.transpose((2, 0, 1)).astype(np.float32) / 255.0)
img2 = torch.from_numpy(img2.transpose((2, 0, 1)).astype(np.float32) / 255.0)
flow = torch.from_numpy(flow.transpose((2, 0, 1)).astype(np.float32))
return img1, img2, flow
|