Files
Grounded-SAM-2/lib/test/evaluation/trackingnetdataset.py
2024-11-19 22:12:54 -08:00

59 lines
2.3 KiB
Python

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