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November 29, 2022 23:05
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Download all images from an imageseries from Allen Developing Mouse Brain Atlas - python 3
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import urllib.request, json | |
import os | |
# | |
# Example python code to download images from an image series | |
# | |
# Find the image series you want from the Allen Brain Atlas portal | |
# Take a note of the dataset id | |
# | |
# Specify output directory for images | |
output_directory = "temp/dataset" | |
# Specify downsample factor; recommend using 1 for developing mouse brain images @ younger ages | |
downsample = 1 | |
# Copy the dataset id here | |
dataset_id = 100045958 | |
# make output directory | |
if not os.path.exists( output_directory ) : | |
os.makedirs( output_directory ) | |
# RMA query to get information for images in the dataset | |
query_url = "http://api.brain-map.org/api/v2/data/query.json?" | |
query_url += "criteria=model::SectionImage" | |
query_url += ",rma::criteria,[data_set_id$eq%d]" % (dataset_id) | |
query_url += ",rma::options[num_rows$eqall]" | |
response = urllib.request.urlopen (query_url) | |
images = json.loads(response.read())['msg'] | |
for i in images : | |
print (i['section_number'], i['id']) | |
image_url = "http://api.brain-map.org/api/v2/section_image_download/%d?downsample=%d" % (i['id'],downsample) | |
image_path = os.path.join( output_directory, '%04d_%d.jpg' % (i['section_number'],i['id']) ) | |
urllib.request.urlretrieve(image_url, image_path) |
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