Downloading Images from VFB Using VFBconnect
VFBconnect is a Python package that provides an interface to the Virtual Fly Brain (VFB) API. It allows users to query the VFB database and download data, including images.
Before you can use VFBconnect, you need to install it. You can do this using pip:
pip install vfb-connect
To download images from VFB using VFBconnect, you need to first import the package and create a client:
from vfb_connect.cross_server_tools import VfbConnect vc = VfbConnect()
Next, you can use the
get_images method to download images. This method requires the dataset ID as an argument:
dataset_id = 'your_dataset_id' images = vc.get_images(dataset_id)
This will return a list of images from the specified dataset. Each image is represented as a dictionary with information such as the image ID, title, and URL.
To download the images, you can loop through the list and use the
urlretrieve function from the
import urllib.request for image in images: url = image['image_url'] filename = image['image_id'] + '.jpg' urllib.request.urlretrieve(url, filename)
This will download each image and save it as a JPEG file in the current directory. The filename is the image ID.
This guide showed you how to use VFBconnect to download images from the Virtual Fly Brain based on a dataset. With VFBconnect, you can easily access and download data from VFB for your research.
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