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Code Block |
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classifier -top 3 /path/to/file.mov
# result:
{"/path/to/file.mov": [
{"label": "torch", "description": "stick with a flaming end used as a source of light", "value": "Q327954"},
{"label": "fire", "description": "rapid oxidation of a material", "value": "Q3196"},
{"label": "flame", "description": "visible, gaseous part of a fire", "value": "Q235544"}
]} |
Here is an example code snippet that you could use in your python code.
Code Block |
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# print the top 3 label predictions for a given file path
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
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Format
For each file path you get an list of predictions for labels.
Info |
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The result is in JSON format. The default string format is Unicode. |
Code Block |
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{'/path/to/file.mov': [{
'value': 'Q327954',
'label': 'torch',
'description': 'stick with a flaming end used as a source of light'
}]} |
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