| 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 |
|
|
