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History

Andrey Zhavoronkov e7808cfb03 Data streaming using chunks (#1007 ) Huge feature (200+ commits from different developers). It completely changes layout of data (please expect very long DB migration process if you have a lot of tasks). The primary idea is to send data as zip chunks (e.g. 36 images in one chunk) or encoded video chunks and decode them on the client side. It helps to solve the problem with latency when you try to view a separate frame in the UI quickly (play mode). Another important feature of the patch is to provide access to the original images. Thus for annotations the client uses compressed chunks but if you want to export a dataset Datumaro will use original chunks (but video will be decoded with original quality and encoded with maximum/optimal quality in any case).		6 years ago
..
core	Data streaming using chunks (#1007 )	6 years ago
tests	Data streaming using chunks (#1007 )	6 years ago
README.md	User interface with react and antd (#755 )	6 years ago
cli.py	Add upload annotation function to cli (#958 )	6 years ago
requirements.txt	[Datumaro] CLI updates + better documentation (#1057 )	6 years ago

README.md

Command line interface (CLI)

Description A simple command line interface for working with CVAT tasks. At the moment it implements a basic feature set but may serve as the starting point for a more comprehensive CVAT administration tool in the future.

Overview of functionality:

Create a new task (supports name, bug tracker, labels JSON, local/share/remote files)
Delete tasks (supports deleting a list of task IDs)
List all tasks (supports basic CSV or JSON output)
Download JPEG frames (supports a list of frame IDs)
Dump annotations (supports all formats via format string)

Usage

usage: cli.py [-h] [--auth USER:[PASS]] [--server-host SERVER_HOST]
              [--server-port SERVER_PORT] [--debug]
              {create,delete,ls,frames,dump} ...

Perform common operations related to CVAT tasks.

positional arguments:
  {create,delete,ls,frames,dump}

optional arguments:
  -h, --help            show this help message and exit
  --auth USER:[PASS]    defaults to the current user and supports the PASS
                        environment variable or password prompt.
  --server-host SERVER_HOST
                        host (default: localhost)
  --server-port SERVER_PORT
                        port (default: 8080)
  --debug               show debug output

Examples

List all tasks cli.py ls
Create a task cli.py create "new task" --labels labels.json local file1.jpg file2.jpg
Delete some tasks cli.py delete 100 101 102
Dump annotations cli.py dump --format "CVAT XML 1.1 for images" 103 output.xml