Input path: /home/debian/html/nutritwin/output_llm/67a1fc8e43480/input.json Output path: /home/debian/html/nutritwin/output_llm/67a1fc8e43480/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/67a1fc8e43480/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": "raviolis", "quantity": "plusieurs", "cookingMethod": "sauté", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "raviolis", "quantity": "plusieurs", "cookingMethod": "sauté", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "raviolis", "quantity": "plusieurs", "cookingMethod": "saut\u00e9", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'raviolis', 'quantity': 'plusieurs', 'cookingMethod': 'sauté', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'raviolis', 'quantity': 'plusieurs', 'cookingMethod': 'sauté', '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 '% ravioli %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Raviolis Vapeur - ravioli vapeur - - - 894 - - - KCA#aec03fe50f30948c69cbab25a97bc279 Raviolis au Tofu - ravioli tofu - à la sauce tomate - - 0 - - - CIQ#b3ecf3b761b170570c0745df1c80532e Raviolis aux Cèpes - ravioli au cepe - - - 685 - - - KCA#f5b12e1e785e6cd2b580aa8d16ad0783 Ravioli à la Viande - ravioli viande - sauce tomate - - 30 - - - CIQ#d03c307ddf057d6d8ffa7932271a3812 Raviolis aux Légumes - ravioli au legume - sauce tomate - - 0 - - - CIQ#b0c52fabbed1657628625997c31177d0 Raviolis Sauce Tomate - ravioli sauce tomate - - - 59 - - - KCA#00b7586ccb34b5d08b2af872b41ab49a Raviolis de Crevettes - ravioli de crevette - et purée de petit pois à la Menthe - - 113 - - - KCA#9402f5d4c75414be5a03208ffbd14481 Raviolis Frais au Boeuf - ravioli frai boeuf - - - 136 - - - KCA#3760c4332a73affe55b5b3e5bb9a7d1a Ravioli au Fromage, Cuit - ravioli fromage cuit - - - 249 - - - KCA#65dfcdae65629c51eed410c110fb14c7 Raviolis Frais au Jambon - ravioli frai jambon - - - 113 - - - KCA#bcef1965f56a42bc053acdd28bf2624e Raviolis Frais aux Fromages - ravioli frai au fromage - - - 85 - - - KCA#02b9435d3965af9d128c27c7c5a0f1a8 Raviolis Frais aux Epinards - ravioli frai au epinard - - - 76 - - - KCA#0933097fa2901b5e5e0e29590a3b0b95 Raviolis Frais Ricotta-epinards - ravioli frai ricotta epinard - - - 362 - - - KCA#08bd3dee018c7d1de7780e83157db3bb Ravioli à la Viande, Sauce Tomate - ravioli viande sauce tomate - - - 0 - - - KCA#ae0592ddf5c0d352006cd5f3fd04aff2 Ravioli au Tofu Sauce Tomate/basilic - ravioli tofu sauce tomate/basilic - - - 64 - - - KCA#99cf79ac7628d499355f89b788c4e5d6 Raviolis Sauce Bolognaise en Conserve - ravioli sauce bolognaise en conserve - - - 12 - - - KCA#b7d1cb974de6e95ad77098eac5498f29 Ravioli Chinois à la Vapeur à la Crevette - ravioli chinoi vapeur crevette - - - 0 - - - CIQ#0ce07091a58a102617c9f8ed4f083170 Raviolis Frais Mozzarella, Aubergines, Tomates - ravioli frai mozzarella aubergine tomate - - - 106 - - - KCA#d4f4e3a8c39b3ea26608b7b1be1e7382 Consommé aux Ravioli - consomme au ravioli - - - 10 - - - KCA#810d3c5b6c7866a0e4fdd902dd4df896 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67a1fc8e43480/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Raviolis Vapeur', 'normName': ' ravioli vapeur ', 'comment': '', 'normComment': '', 'rank': 894, 'id': 'KCA#aec03fe50f30948c69cbab25a97bc279', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['RAV.k38'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.971907138824463} ---------------------------------------------------------------------------------- LLM CPU Time: 1.971907138824463