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توضیحات

Library and command line interface for darwin.v7labs.com

ویژگی	مقدار
سیستم عامل	-
نام فایل	darwin-pyproj-test-0.8.7
نام	darwin-pyproj-test
نسخه کتابخانه	0.8.7
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	V7
ایمیل نویسنده	info@v7labs.com
آدرس صفحه اصلی	https://docs.v7labs.com/reference/getting-started-2
آدرس اینترنتی	https://pypi.org/project/darwin-pyproj-test/
مجوز	MIT

# V7 Darwin Python SDK Official library to manage datasets along with [V7 Darwin annotation platform](https://darwin.v7labs.com). Darwin-py can both be used from the [command line](#usage-as-a-command-line-interface-cli) and as a [python library](#usage-as-a-python-library). Main functions are (but not limited to): - Client authentication - Listing local and remote datasets - Create/remove datasets - Upload/download data to/from remote datasets - Direct integration with PyTorch dataloaders Support tested for python 3.8. ## Installation ``` pip install darwin-py ``` You can now type `darwin` in your terminal and access the command line interface. If you wish to use the PyTorch bindings, then you can use the `ml` flag to install all the additional requirements ``` pip install darwin-py[ml] ``` To run test, first install the `test` extra package ``` pip install darwin-py[test] ``` --- ## Usage as a Command Line Interface (CLI) Once installed, `darwin` is accessible as a command line tool. A useful way to navigate the CLI usage is through the help command `-h/--help` which will provide additional information for each command available. ### Client Authentication To perform remote operations on Darwin you first need to authenticate. This requires a [team-specific API-key](https://darwin.v7labs.com/?settings=api-keys). If you do not already have a Darwin account, you can [contact us](https://www.v7labs.com/contact) and we can set one up for you. To start the authentication process: ``` $ darwin authenticate API key: Make example-team the default team? [y/N] y Datasets directory [~/.darwin/datasets]: Authentication succeeded. ``` You will be then prompted to enter your API-key, whether you want to set the corresponding team as default and finally the desired location on the local file system for the datasets of that team. This process will create a configuration file at `~/.darwin/config.yaml`. This file will be updated with future authentications for different teams. ### Listing local and remote datasets Lists a summary of local existing datasets ``` $ darwin dataset local NAME IMAGES SYNC_DATE SIZE mydataset 112025 yesterday 159.2 GB ``` Lists a summary of remote datasets accessible by the current user. ``` $ darwin dataset remote NAME IMAGES PROGRESS example-team/mydataset 112025 73.0% ``` ### Create/remove a dataset To create an empty dataset remotely: ``` $ darwin dataset create test Dataset 'test' (example-team/test) has been created. Access at https://darwin.v7labs.com/datasets/579 ``` The dataset will be created in the team you're authenticated for. To delete the project on the server: ``` $ darwin dataset remove test About to delete example-team/test on darwin. Do you want to continue? [y/N] y ``` ### Upload/download data to/from a remote dataset Uploads data to an existing remote project. It takes the dataset name and a single image (or directory) with images/videos to upload as parameters. The `-e/--exclude` argument allows to indicate file extension/s to be ignored from the data_dir. e.g.: `-e .jpg` For videos, the frame rate extraction rate can be specified by adding `--fps <frame_rate>` Supported extensions: - Video files: [`.mp4`, `.bpm`, `.mov` formats]. - Image files [`.jpg`, `.jpeg`, `.png` formats]. ``` $ darwin dataset push test /path/to/folder/with/images 100%|████████████████████████| 2/2 [00:01<00:00, 1.27it/s] ``` Before a dataset can be downloaded, a release needs to be generated: ``` $ darwin dataset export test 0.1 Dataset test successfully exported to example-team/test:0.1 ``` This version is immutable, if new images / annotations have been added you will have to create a new release to included them. To list all available releases ``` $ darwin dataset releases test NAME IMAGES CLASSES EXPORT_DATE example-team/test:0.1 4 0 2019-12-07 11:37:35+00:00 ``` And to finally download a release. ``` $ darwin dataset pull test:0.1 Dataset example-team/test:0.1 downloaded at /directory/choosen/at/authentication/time. ``` --- ## Usage as a Python library The framework is designed to be usable as a standalone python library. Usage can be inferred from looking at the operations performed in `darwin/cli_functions.py`. A minimal example to download a dataset is provided below and a more extensive one can be found in [darwin_demo.py](./darwin_demo.py). ```python from darwin.client import Client client = Client.local() # use the configuration in ~/.darwin/config.yaml dataset = client.get_remote_dataset("example-team/test") dataset.pull() # downloads annotations and images for the latest exported version ``` Follow [this guide](https://docs.v7labs.com/docs/loading-a-dataset-in-python) for how to integrate darwin datasets directly in PyTorch.

نیازمندی

مقدار	نام
>=2.0.0,<3.0.0	argcomplete
>=4.4.0,<5.0.0	humanize
>=9.4.0,<10.0.0	pillow
>=5.1	pyyaml
>=2.28.1,<3.0.0	requests
>=13.0.1,<14.0.0	rich
>=0.8,<0.9	dataclasses
==0.1.8	upolygon
==3.2.0	jsonschema
>=2.1.0,<3.0.0	deprecation
>=1.10.4,<2.0.0	pydantic
>=3.8.5,<4.0.0	orjson
<=1.23.0	numpy
>=0.10.2,<0.11.0	toml
>=5.0.0,<6.0.0	nibabel[medical]
>=3.10.3,<4.0.0	connected-components-3d[medical]
>=1.2.0,<2.0.0	scikit-learn[ml,test]
>=1.13.1,<2.0.0	torch[ml]
>=0.14.1,<0.15.0	torchvision[ml]
>=22.12.0,<23.0.0	black[dev]
>=5.11.4,<6.0.0	isort[dev]
>=6.0.0,<7.0.0	flake8[dev]
>=0.991,<0.992	mypy[dev]
>=0.22.0,<0.23.0	responses[dev,test]
>=7.2.1,<8.0.0	pytest[dev,test]
>=2.0.1,<3.0.0	pytest-describe[dev,test]
>=1.2.2,<2.0.0	flake8-pyproject[dev,test]
>=1.6.5,<2.0.0	debugpy[dev]

زبان مورد نیاز

مقدار	نام
>=3.8.0,<3.11	Python

نحوه نصب

نصب پکیج whl darwin-pyproj-test-0.8.7:

pip install darwin-pyproj-test-0.8.7.whl

نصب پکیج tar.gz darwin-pyproj-test-0.8.7:

pip install darwin-pyproj-test-0.8.7.tar.gz