DataRequest class reference

Properties

Name	Type	Description	Notes
image_quality	int	Image quality to use during annotation
chunk_size	int, none_type	Maximum number of frames per chunk	[optional]
size	int	The number of frames	[optional]
start_frame	int	First frame index	[optional]
stop_frame	int	Last frame index	[optional]
frame_filter	str	Frame filter. The only supported syntax is: ‘step=N’	[optional]
compressed_chunk_type	ChunkType		[optional]
original_chunk_type	ChunkType		[optional]
client_files	[file_type]	Uploaded files	[optional] if omitted the server will use the default value of []
server_files	[str]	Paths to files from a file share mounted on the server, or from a cloud storage	[optional] if omitted the server will use the default value of []
server_files_exclude	[str]	Paths to files and directories from a file share mounted on the server, or from a cloud storage that should be excluded from the directories specified in server_files. This option cannot be used together with filename_pattern. The server_files_exclude parameter cannot be used to exclude a part of dataset from an archive. Examples: Exclude all files from subfolder ‘sub/sub_1/sub_2’and single file ‘sub/image.jpg’ from specified folder: server_files = [‘sub/'], server_files_exclude = [‘sub/sub_1/sub_2/’, ‘sub/image.jpg’] Exclude all cloud storage files with prefix ‘sub’ from the content of manifest file: server_files = [‘manifest.jsonl’], server_files_exclude = [‘sub/']	[optional] if omitted the server will use the default value of []
remote_files	[str]	Direct download URLs for files	[optional] if omitted the server will use the default value of []
use_zip_chunks	bool	When true, video chunks will be represented as zip archives with decoded video frames. When false, video chunks are represented as video segments	[optional] if omitted the server will use the default value of False
cloud_storage_id	int, none_type	If not null, the files referenced by server_files will be retrieved from the cloud storage with the specified ID. The cloud storages applicable depend on the context. In the user sandbox, only the user sandbox cloud storages can be used. In an organization, only the organization cloud storages can be used.	[optional]
use_cache	bool	Enable or disable task data chunk caching for the task. Read more: https://opencv.github.io/cvat/docs/manual/advanced/data_on_fly/	[optional] if omitted the server will use the default value of False
copy_data	bool	Copy data from the server file share to CVAT during the task creation. This will create a copy of the data, making the server independent from the file share availability	[optional] if omitted the server will use the default value of False
storage_method	StorageMethod		[optional]
storage	StorageType		[optional]
sorting_method	SortingMethod		[optional]
filename_pattern	str, none_type	A filename filter for cloud storage files listed in the manifest. Supports fnmatch wildcards. Read more: https://docs.python.org/3/library/fnmatch.html	[optional]
job_file_mapping	[[str]]	Represents a file-to-job mapping. Useful to specify a custom job configuration during task creation. This option is not compatible with most other job split-related options. Files in the jobs must not overlap or repeat. Example: [ ["file1.jpg", "file2.jpg"], # job #1 files ["file3.png"], # job #2 files ["file4.jpg", "file5.png", "file6.bmp"], # job #3 files ]	[optional]