111 lines
3.0 KiB
Python
111 lines
3.0 KiB
Python
import torch.utils.data
|
|
# 2021.1.5 use jpeg4py_loader_w_failsafe as default
|
|
from lib.train.data.image_loader import jpeg4py_loader_w_failsafe
|
|
|
|
|
|
class BaseVideoDataset(torch.utils.data.Dataset):
|
|
""" Base class for video datasets """
|
|
|
|
def __init__(self, name, root, image_loader=jpeg4py_loader_w_failsafe):
|
|
"""
|
|
args:
|
|
root - The root path to the dataset
|
|
image_loader (jpeg4py_loader) - The function to read the images. jpeg4py (https://github.com/ajkxyz/jpeg4py)
|
|
is used by default.
|
|
"""
|
|
self.name = name
|
|
self.root = root
|
|
self.image_loader = image_loader
|
|
|
|
self.sequence_list = [] # Contains the list of sequences.
|
|
self.class_list = []
|
|
|
|
def __len__(self):
|
|
""" Returns size of the dataset
|
|
returns:
|
|
int - number of samples in the dataset
|
|
"""
|
|
return self.get_num_sequences()
|
|
|
|
def __getitem__(self, index):
|
|
""" Not to be used! Check get_frames() instead.
|
|
"""
|
|
return None
|
|
|
|
def is_video_sequence(self):
|
|
""" Returns whether the dataset is a video dataset or an image dataset
|
|
|
|
returns:
|
|
bool - True if a video dataset
|
|
"""
|
|
return True
|
|
|
|
def is_synthetic_video_dataset(self):
|
|
""" Returns whether the dataset contains real videos or synthetic
|
|
|
|
returns:
|
|
bool - True if a video dataset
|
|
"""
|
|
return False
|
|
|
|
def get_name(self):
|
|
""" Name of the dataset
|
|
|
|
returns:
|
|
string - Name of the dataset
|
|
"""
|
|
raise NotImplementedError
|
|
|
|
def get_num_sequences(self):
|
|
""" Number of sequences in a dataset
|
|
|
|
returns:
|
|
int - number of sequences in the dataset."""
|
|
return len(self.sequence_list)
|
|
|
|
def has_class_info(self):
|
|
return False
|
|
|
|
def has_occlusion_info(self):
|
|
return False
|
|
|
|
def get_num_classes(self):
|
|
return len(self.class_list)
|
|
|
|
def get_class_list(self):
|
|
return self.class_list
|
|
|
|
def get_sequences_in_class(self, class_name):
|
|
raise NotImplementedError
|
|
|
|
def has_segmentation_info(self):
|
|
return False
|
|
|
|
def get_sequence_info(self, seq_id):
|
|
""" Returns information about a particular sequences,
|
|
|
|
args:
|
|
seq_id - index of the sequence
|
|
|
|
returns:
|
|
Dict
|
|
"""
|
|
raise NotImplementedError
|
|
|
|
def get_frames(self, seq_id, frame_ids, anno=None):
|
|
""" Get a set of frames from a particular sequence
|
|
|
|
args:
|
|
seq_id - index of sequence
|
|
frame_ids - a list of frame numbers
|
|
anno(None) - The annotation for the sequence (see get_sequence_info). If None, they will be loaded.
|
|
|
|
returns:
|
|
list - List of frames corresponding to frame_ids
|
|
list - List of dicts for each frame
|
|
dict - A dict containing meta information about the sequence, e.g. class of the target object.
|
|
|
|
"""
|
|
raise NotImplementedError
|
|
|