This is the command line tool from das-element for classification of image, sequence and movie files.
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Deploy You can deploy it on your render farm to use it in a post-render process for labeling of elements. |
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Simple usage: classifier {file}
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The result is in JSON format | ||
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classifier /path/to/file.mov
# result:
{"/path/to/file.mov": [{"label": "fire", "description": "rapid oxidation of a material", "value": "Q3196"}]} |
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import json
import subprocess
path = '/path/to/file.mov'
command = ['./classifier', '--top', '3', path]
process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
output, error = process.communicate()
if process.returncode != 0:
print('Something went wrong: {} - Error: {}'.format(path, error))
else:
result = json.loads(output)
for path, predictions in result.items():
wikidata_ids = [item['value'] for item in predictions] # list of IDs from wikidata
readable_labels = [item['label'] for item in predictions] # list of human readable labels
print('For path: "{}" predicted the labels: {}'.format(path, ', '.join(readable_labels)))
# result:
# For path: "/path/to/file.mov" predicted the labels: torch, flame, fire |
Result format
For each file path you get an list of predictions for labels.
The result is in JSON format. The default string format is Unicode.
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{ |
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'/path/to/file.mov': [{ |
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'description': |
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'stick with a flaming end used as a source of light', |
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'value': |
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'Q327954', |
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'label': |
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'torch' }]} |
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flag | description |
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| Shows all information the software.
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| Get results of the top X predictions of labels |
| debugging mode |