| 101 | |
| 102 | class MpiSintel(FlowDataset): |
| 103 | def __init__(self, aug_params=None, split='training', root='datasets/Sintel', dstype='clean'): |
| 104 | super(MpiSintel, self).__init__(aug_params) |
| 105 | flow_root = osp.join(root, split, 'flow') |
| 106 | image_root = osp.join(root, split, dstype) |
| 107 | |
| 108 | if split == 'test': |
| 109 | self.is_test = True |
| 110 | |
| 111 | for scene in os.listdir(image_root): |
| 112 | image_list = sorted(glob(osp.join(image_root, scene, '*.png'))) |
| 113 | for i in range(len(image_list)-1): |
| 114 | self.image_list += [ [image_list[i], image_list[i+1]] ] |
| 115 | self.extra_info += [ (scene, i) ] # scene and frame_id |
| 116 | |
| 117 | if split != 'test': |
| 118 | self.flow_list += sorted(glob(osp.join(flow_root, scene, '*.flo'))) |
| 119 | |
| 120 | |
| 121 | class FlyingChairs(FlowDataset): |