Difference between revisions of "Artificial Intelligence/Robotoff/Adding new detections"
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# Choose the relevant file within the insights/ocr directory (in this case: https://github.com/openfoodfacts/robotoff/blob/master/robotoff/insights/ocr/packager_code.py) | # Choose the relevant file within the insights/ocr directory (in this case: https://github.com/openfoodfacts/robotoff/blob/master/robotoff/insights/ocr/packager_code.py) | ||
| − | + | * Write the function | |
<pre> | <pre> | ||
def process_fsc_match(match) -> str: | def process_fsc_match(match) -> str: | ||
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</pre> | </pre> | ||
| − | + | * Add the function to the processing pipeline | |
<pre> | <pre> | ||
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<pre> | <pre> | ||
| − | + | * Grab yourself a sandwich | |
=== Plug it to Robotoff === | === Plug it to Robotoff === | ||
Revision as of 13:36, 3 August 2020
Finding opportunities
- Download the OCR JSONL
grep -o '\<WORD\>' | wc -l
Using REGEXes
https://github.com/openfoodfacts/robotoff/tree/master/robotoff/insights/ocr
Add a function to add the desired match
- Choose the relevant file within the insights/ocr directory (in this case: https://github.com/openfoodfacts/robotoff/blob/master/robotoff/insights/ocr/packager_code.py)
- Write the function
def process_fsc_match(match) -> str:
fsc_code = match.group(1)
return "FSC-{}".format(fsc_code).upper()
- Add the function to the processing pipeline
PACKAGER_CODE: Dict[str, OCRRegex] = {
"fr_emb": OCRRegex(
re.compile(r"emb ?(\d ?\d ?\d ?\d ?\d) ?([a-z])?(?![a-z0-9])"),
field=OCRField.text_annotations,
lowercase=True,
processing_func=process_fr_emb_match,
),
"fsc": OCRRegex(
re.compile(r"fsc.? ?(c\d{6})"),
field=OCRField.text_annotations,
lowercase=True,
processing_func=process_fsc_match,
),
"eu_fr": OCRRegex(
re.compile(
* Grab yourself a sandwich
Plug it to Robotoff
Using Flashtext
https://github.com/openfoodfacts/robotoff/tree/master/data/ocr