init commit of samurai

lib/test/evaluation/got10kdataset.py

@@ -0,0 +1,56 @@
+import numpy as np
+from lib.test.evaluation.data import Sequence, BaseDataset, SequenceList
+from lib.test.utils.load_text import load_text
+import os
+
+
+class GOT10KDataset(BaseDataset):
+    """ GOT-10k dataset.
+
+    Publication:
+        GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
+        Lianghua Huang, Xin Zhao, and Kaiqi Huang
+        arXiv:1810.11981, 2018
+        https://arxiv.org/pdf/1810.11981.pdf
+
+    Download dataset from http://got-10k.aitestunion.com/downloads
+    """
+    def __init__(self, split):
+        super().__init__()
+        # Split can be test, val, or ltrval (a validation split consisting of videos from the official train set)
+        if split == 'test' or split == 'val':
+            self.base_path = os.path.join(self.env_settings.got10k_path, split)
+        else:
+            self.base_path = os.path.join(self.env_settings.got10k_path, 'train')
+
+        self.sequence_list = self._get_sequence_list(split)
+        self.split = split
+
+    def get_sequence_list(self):
+        return SequenceList([self._construct_sequence(s) for s in self.sequence_list])
+
+    def _construct_sequence(self, sequence_name):
+        anno_path = '{}/{}/groundtruth.txt'.format(self.base_path, sequence_name)
+
+        ground_truth_rect = load_text(str(anno_path), delimiter=',', dtype=np.float64)
+
+        frames_path = '{}/{}'.format(self.base_path, 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, 'got10k', ground_truth_rect.reshape(-1, 4))
+
+    def __len__(self):
+        return len(self.sequence_list)
+
+    def _get_sequence_list(self, split):
+        with open('{}/list.txt'.format(self.base_path)) as f:
+            sequence_list = f.read().splitlines()
+
+        if split == 'ltrval':
+            with open('{}/got10k_val_split.txt'.format(self.env_settings.dataspec_path)) as f:
+                seq_ids = f.read().splitlines()
+
+            sequence_list = [sequence_list[int(x)] for x in seq_ids]
+        return sequence_list