Input path: /home/debian/html/nutritwin/output_llm/681e49e2b68c7/input.json Output path: /home/debian/html/nutritwin/output_llm/681e49e2b68c7/output.json Input text: DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3 Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json ================================================================================================================================== Prompt from user: ================================================================================================================================== Image to be analyzed: /home/debian/html/nutritwin/output_llm/681e49e2b68c7/capture.jpg ############################################################################################## # For image extraction, pixtral-large-2411 is used # ############################################################################################## ==================================== Prompt ============================================= In the image, identify all the foods and beverages, convert them into an array of JSON with consumed foods. Ignore what it is not connected to nutrition, beverage or food. When a food or a beverage has several instances unify them on a single food or beverage and add the quantities of each. The attribute name must remain in English but the result, so the attribute value, must be in french, and only in french. Provide a solution without explanation. Use only the food & beverage ontology described in this Turtle/RDF model: """ @prefix food: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . food: a owl:Ontology ; rdfs:comment "Definition of the food archetype"@en . food:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment """Food or beverage identifier, the name should not contain information related to quantity or container (like glass...). Ignore food or beverage when it is not consumed in the past, now or in the future. The cooking mode is not in the name. The name is only in french."""@en; rdfs:range xsd:string. food:quantity a owl:DatatypeProperty ; rdfs:label "quantity"@en; rdfs:comment "The quantity of food or drink that is or was consumed. Quantity is only in french. Here are examples: 'un quignon', 'un cornet', 'un verre', 'une tranche', 'une boule', 'un', 'deux', 'trois',... Keep the same language."@en; rdfs:range xsd:string. food:cookingMethod a owl:DatatypeProperty ; rdfs:label "cooking method"@en; rdfs:comment "The cooking method of food. The cooking method is in french."@en; rdfs:range xsd:string. food:type a owl:DatatypeProperty ; rdfs:label "type of food"@en; rdfs:comment "Identify the type of food."@en; rdfs:range xsd:string. food:food a food:type ; rdfs:label "food" . food:beverage a food:type ; rdfs:label "beverage" . food:timeOfTheDay a owl:DatatypeProperty ; rdfs:label "time of the day"@en; rdfs:comment "Time of the day when food or drink was consumed."@en; rdfs:range xsd:string. food:breakfast a food:timeOfTheDay ; rdfs:label "breakfast" . food:lunch a food:timeOfTheDay ; rdfs:label "lunch" . food:snacking a food:timeOfTheDay ; rdfs:label "snacking" . food:dinner a food:timeOfTheDay ; rdfs:label "dinner" . food:brand a owl:DatatypeProperty ; rdfs:label "Brand"@en; rdfs:comment """Food or beverage brand. The restaurants are not brand. When the name is very known (ex: Activia, Coca) and the brand is not mentioned, guess the brand."""@en; rdfs:range xsd:string. food:company a owl:DatatypeProperty ; rdfs:label "Company"@en; rdfs:comment "Product company."@en; rdfs:range xsd:string. food:enumEvent a rdfs:Class . food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range food:enumEvent. food:intent a food:enumEvent ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:enumEvent ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:enumEvent ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range food:enumEvent. food:intent a food:enumEvent ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:enumEvent ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:enumEvent ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. """ Here is an example of result: [ { "name": "blanquette de veau", "quantity": "un plat", "cookingMethod": "mijot\u00e9", "timeOfTheDay": "lunch", "company": "Leclerc", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Evian", "company": "Danone", "timeOfTheDay": "breakfast", "quantity": "un verre", "type": "beverage", "event": "intent" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "poisson", "quantity": "une portion", "cookingMethod": "grill\u00e9", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "une tranche", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "poisson", "quantity": "une portion", "cookingMethod": "grill\u00e9", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "une tranche", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "poisson", "quantity": "une portion", "cookingMethod": "grill\u00e9", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "une tranche", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'poisson', 'quantity': 'une portion', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'}, {'name': 'tomate', 'quantity': 'une tranche', 'cookingMethod': 'grillée', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'poisson', 'quantity': 'une portion', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'} First try: SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% poisson %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Poisson - poisson - croquette ou beignet ou nuggets, frit - - 0 - - - CIQ#56289197f63196d0a08c8b3ba3d2edf1 Poisson Cuit - poisson cuit - - - 0 - - - CIQ#1c26cf11050371a799127e00cb360436 Poisson Pané - poisson pane - frit - - 0 - - - CIQ#b836c4eb861c9913014e98212145dada Poisson Pané - poisson pane - surgelé, cru - - 0 - - - CIQ#b5799c50e9099da1375c869e95b889fd Poissons Gras - poisson gra - - - 156 - - - KCA#3e6cf1b20de9f9cf9555ca6754a7d73d Poisson Blanc - poisson blanc - aliment moyen - - 0 - - - CIQ#94e281ad38d3a5b0c0b3a5316fe33e1d Poisson Blanc - poisson blanc - de mer,aliment moyen - - 0 - - - CIQ#8b9f3b88fbfc503efd1322ec33e4bd87 Poissons Panés - poisson pane - - - 3684 - - - KCA#5127449b4cfb48c96b59ada84cad9a5a Poissons Fumés - poisson fume - - - 89 - - - KCA#4ed18fcb3484c0cca4de57e7a87693de Poissons Séchés - poisson seche - - - 16 - - - KCA#cac43f13c188955825604b36e853c715 Poissons Maigres - poisson maigre - - - 1335 - - - KCA#78618c7941284c1a3fe85da4008a1258 Poisson en Sauce - poisson en sauce - - - 859 - - - KCA#c713d406dbf89956e6fa7d2845133523 Poisson en Sauce - poisson en sauce - surgelé - - 0 - - - CIQ#943d2039aa37ae07e3c1febb32c2bc24 Poissons Demi-gras - poisson demi gra - - - 155 - - - KCA#1b068993333028add72c882b6de83920 Poissons à l'Huile - poisson huile - - - 71 - - - KCA#539d76d18e0cf93561f376e62573451c Poisson Sauce Oseille - poisson sauce oseille - - - 93 - - - KCA#aa876384995dcab3ff5f07a2d998ee89 Poisson à la Bordelaise - poisson bordelaise - - - 192 - - - KCA#02d9776983b412dcd083639ef3816ee3 Poisson, Croquette, Frit - poisson croquette frit - - - 98 - - - KCA#784a6ce3bfaf57715ccc739944dc01bb Poisson Frit en Croquette - poisson frit en croquette - - - 139 - - - KCA#e908f8f80e571eef58528cabaa6911f2 Poisson Avec Tagliatelles - poisson avec tagliatelle - - - 57 - - - KCA#5a594aea18f86f991faa882847768e74 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'tomate', 'quantity': 'une tranche', 'cookingMethod': 'grillée', 'type': 'food', 'event': 'declaration'} First try: SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% tomate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tomate - tomate - crue - - 50564 - - - CIQ#9019c33adc1aff1aeff07888f760e3dc Tomate - tomate - purée - - 0 - - - CIQ#98e08e3b00fecca745d7da29e1015a95 Tomate - tomate - pulpe - - 0 - - - CIQ#fd785fdebdb36567c615d2cf46456ffd Tomate - tomate - concentré - - 0 - - - CIQ#7020e6d5e5bd9e09aaa1661220ba09b7 Tomate - tomate - pelée, égouttée - - 0 - - - CIQ#e42ed02a1db9c324a72333e04d401dc1 Tomate - tomate - double concentré - - 0 - - - CIQ#316f9d6fdf5ec84b18998fae96416e09 Tomate - tomate - séchée, à l'huile - - 0 - - - CIQ#b7e1592c157fef2c1429cdc04e65f429 Tomate - tomate - rôtie/cuite au four - - 0 - - - CIQ#abc1ee10e1ef1b8d9ea01e5cf5081ac9 Tomate - tomate - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#a670b9fa38af8c6557b321a08d7ab367 Tomate Ronde - tomate ronde - crue - - 0 - - - CIQ#684dc9134dc864e3c83f5330fa9965d4 Tomate Farcie - tomate farcie - - - 1889 - - - CIQ#6662d127dcc7f87a176e7cda4540b6d5 Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0 Tomate Grappe - tomate grappe - crue - - 0 - - - CIQ#2bdccc054e39de9382dcb2ff97b1204d Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216 Tomate Séchée - tomate sechee - tomate séchée - - 0 - - - KCA#1dfa8e1ad113a5175e6a3ba4bee46416 Tomates au Four - tomate four - au four - - 0 - - - KCA#7bd06a9534bdcb97e7af0143ac0124d5 Tomates Farcies - tomate farcie - tomates farcies - - 0 - - - KCA#6e01a7596f6a74b9bca3e51ca2721e81 Tomates Tartares - tomate tartare - tomates tartares - - 0 - - - KCA#e15190c59aa8508125d81de65be88670 Tomate Concentrée - tomate concentree - tomate concentrée - - 0 - - - KCA#22854ad0ad81beeccc0841c1f0c5d66c Tomates Provençales - tomate provencale - tomates provençales - - 0 - - - KCA#799358a4b450be03bfd4014d3908c6dc ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/681e49e2b68c7/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Poisson', 'normName': ' poisson ', 'comment': 'croquette ou beignet ou nuggets, frit', 'normComment': ' croquette ou beignet ou nugget frit ', 'rank': 0, 'id': 'CIQ#56289197f63196d0a08c8b3ba3d2edf1', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['POI.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'POI-100', 'posiNormName': 0}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['TOM.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 13.946502447128296} ---------------------------------------------------------------------------------- LLM CPU Time: 13.946502447128296