| import numpy as np |
| from lib.test.evaluation.data import Sequence, BaseDataset, SequenceList |
| import os |
| from lib.test.utils.load_text import load_text |
|
|
|
|
| class TrackingNetDataset(BaseDataset): |
| """ TrackingNet test set. |
| |
| Publication: |
| TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. |
| Matthias Mueller,Adel Bibi, Silvio Giancola, Salman Al-Subaihi and Bernard Ghanem |
| ECCV, 2018 |
| https://ivul.kaust.edu.sa/Documents/Publications/2018/TrackingNet%20A%20Large%20Scale%20Dataset%20and%20Benchmark%20for%20Object%20Tracking%20in%20the%20Wild.pdf |
| |
| Download the dataset using the toolkit https://github.com/SilvioGiancola/TrackingNet-devkit. |
| """ |
| def __init__(self): |
| super().__init__() |
| self.base_path = self.env_settings.trackingnet_path |
|
|
| sets = 'TEST' |
| if not isinstance(sets, (list, tuple)): |
| if sets == 'TEST': |
| sets = ['TEST'] |
| elif sets == 'TRAIN': |
| sets = ['TRAIN_{}'.format(i) for i in range(5)] |
|
|
| self.sequence_list = self._list_sequences(self.base_path, sets) |
|
|
| def get_sequence_list(self): |
| return SequenceList([self._construct_sequence(set, seq_name) for set, seq_name in self.sequence_list]) |
|
|
| def _construct_sequence(self, set, sequence_name): |
| anno_path = '{}/{}/anno/{}.txt'.format(self.base_path, set, sequence_name) |
|
|
| ground_truth_rect = load_text(str(anno_path), delimiter=',', dtype=np.float64, backend='numpy') |
|
|
| frames_path = '{}/{}/frames/{}'.format(self.base_path, set, sequence_name) |
| frame_list = [frame for frame in os.listdir(frames_path) if frame.endswith(".jpg")] |
| frame_list.sort(key=lambda f: int(f[:-4])) |
| frames_list = [os.path.join(frames_path, frame) for frame in frame_list] |
|
|
| return Sequence(sequence_name, frames_list, 'trackingnet', ground_truth_rect.reshape(-1, 4)) |
|
|
| def __len__(self): |
| return len(self.sequence_list) |
|
|
| def _list_sequences(self, root, set_ids): |
| sequence_list = [] |
|
|
| for s in set_ids: |
| anno_dir = os.path.join(root, s, "anno") |
| sequences_cur_set = [(s, os.path.splitext(f)[0]) for f in os.listdir(anno_dir) if f.endswith('.txt')] |
|
|
| sequence_list += sequences_cur_set |
|
|
| return sequence_list |
|
|
