Difference between revisions of "OCR/Results"
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=== TODO === | === TODO === | ||
* remove json with error messages | * remove json with error messages | ||
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=== Process === | === Process === |
Revision as of 15:13, 19 October 2016
How to process the 400k JSON files we've generated
Example
Image
Output
http://static.openfoodfacts.ovh/images/products/40193045/ingredients.12.full.json
{ u'responses':[ { u'textAnnotations':[ { u'locale':u'de', u'description': u'Doppelrahmstufe\nAT Kasezubereitung 60% F.LT\nzutaten:Frischkase, 2 gefriergetrockne\nter Gorgonzola, Salz, Verdickungsmittet\nJohannisbrotkernmehl und Guarkemmehlt\nAroma, Stickstoff zum Aufschlagen\nNach dem Offnen alsbald verzehren\nUngeoffnet gekuhlt mindestens\nhaltbar bis:siehe Boden\nBY 706\nIn Deutschland hergestellt\n', u'boundingPoly':{ u'vertices':[ { u'y':232, u'x':190 }, { u'y':232, u'x':1500 }, { u'y':1410, u'x':1500 }, { u'y':1410, u'x':190 } ] } } ] } ] }
Comments
What to do
TODO
- remove json with error messages
Process
sudo nohup sh -c 'for f in $(find . -type f -regex ".*/[0-9].jpg*"); do sudo python /home/xxxxxxxx.py $f;done' sudo nohup sh -c 'for f in $(find . -name 'nutrition.*.full.jpg' -type f); do sudo python /home/xxxxxxxx.py $f;done' sudo nohup sh -c 'for f in $(find . -name 'front.*.full.jpg' -type f); do sudo python /home/xxxxxxxx.py $f;done' sudo nohup sh -c 'for f in $(find . -name 'ingredients.*.full.jpg' -type f); do sudo python /home/xxxxxxxx.py $f;done'
Results
Number of images
46715+128832+59961+180420 = 415928(edited)
teolemon@ks3095298:/home/off/html/images/products$ ls -lR /home/off/html/images/products/ | find . -name 'nutrition.*.full.jpg' -type f | wc -l 46715 teolemon@ks3095298:/home/off/html/images/products$ ls -lR /home/off/html/images/products/ | find . -name 'front.*.full.jpg' -type f | wc -l 128382 teolemon@ks3095298:/home/off/html/images/products$ ls -lR /home/off/html/images/products/ | find . -name 'ingredients.*.full.jpg' -type f | wc -l 59961 teolemon@ks3095298:/home/off/html/images/products$ ls -lR /home/off/html/images/products/ | find . -type f -regex ".*/[0-9].jpg*" | wc -l 180420
Number of JSONs
ls -lR /home/off/html/images/products/ | find . -type f -regex ".*/[0-9].json*" | wc -l 415308
Number of files
teolemon@ns3362784:/home/off/html/images/products$ find . -type f | sed 's/.*\.//' | sort | uniq -c 2514 front 35 gif 27 ingredients 2890282 jpg 478982 json 1 kxs2sl 1 out 3311 png 210 tif 153 txt
Versions of the same product
- All versions of images selected have been processed
- All images ever uploaded have been processed
Check complete products
- Check how similar ingredients lists are to what is detected
- Check if brands are suggested that are not here (eg Umbrella brands)
- Extract addresses
- Extract URLs
Suggest values for incomplete products
- Try to suggest possible categories based on extracted text
- Try to suggest brands, both based on the Brand JSON field and on Raw text extraction
Search engine (internal/external) considerations
- Add raw output as hidden text to enable search engine to index incomplete products
- Add hidden field to enable the internal search engine to find incomplete products
New fields to add ?
- Cooking recommandation
- Storage recommandation
- Description (some products are very talkative)
- Postal address of the producer
- Postal address of the distributor
- Email Address
- Phone number
- Website of the brand (vs product)
- Ingredient percentage