Input path: /home/debian/html/nutritwin/output_llm/68c03e0d526a1/input.json Output path: /home/debian/html/nutritwin/output_llm/68c03e0d526a1/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/68c03e0d526a1/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": "glace", "quantity": "un cornet", "brand": "Häagen-Dazs", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "glace", "quantity": "un cornet", "brand": "Häagen-Dazs", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "glace", "quantity": "un cornet", "brand": "H\u00e4agen-Dazs", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'glace', 'quantity': 'un cornet', 'brand': 'Häagen-Dazs', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'glace', 'quantity': 'un cornet', 'brand': 'Häagen-Dazs', '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 '% glace %' AND V_NormTrademark LIKE '%haagen dazs%' ------------- Found solution (max 20) -------------- Glace - glace - - Häagen-Dazs - 0 - 12131200 - 12131200 - OFF#baf82ff45a17b8bbad859eb9d87c9ea2 Glace - glace - - Häagen-Dazs - 0 - 3415587514012 - 12131200 - OFF#cfecab0fb41acf155b6d4a13e8ec9713 Glace - glace - - Häagen-Dazs - 0 - 3415587159008 - 12131200 - OFF#ce4449160a59c5526c5ebd78cc486969 Glace - glace - - Häagen-Dazs - 0 - 3415587505010 - 12131200 - OFF#75ca027514fc566dc8630bfe5b93e911 Glace - glace - - Häagen-Dazs - 0 - 3415581317008 - 12131200 - OFF#2b826538e8688583c2ba80c022683540 Glace - glace - - Häagen-Dazs - 0 - 3415582005010 - 12131200 - OFF#c1ede70ed857efc8fddb3a8451b66b0c Glace - glace - - Häagen-Dazs - 0 - 3415587305719 - 12131200 - OFF#f666f3eaba6acd761bb8fd4c1cd346f6 Glace - glace - - Häagen-Dazs - 0 - 3415580549011 - 12131200 - OFF#959da3a3007003cd276e71493d370801 Glace - glace - - Häagen-Dazs - 0 - 3415581104288 - 12131200 - OFF#e35512d03502b47f475e7e1eb7d5050e Glace Fraise - glace fraise - - Häagen-Dazs - 0 - 3415581312164 - 3415581312164 - OFF#8cd47d29ac10fb7641e59807d4248b32 Glace Vanille - glace vanille - - Häagen-Dazs - 0 - 3415581311143 - 3415581311143 - OFF#9f0d65dde2bad42833441a815193ab1a Glace Vanille - glace vanille - - Häagen-Dazs - 0 - 3415581311716 - 3415581311143 - OFF#073675e5018ed8752a8067320281c356 Glaces Caramel - glace caramel - - Häagen-Dazs - 0 - 3415581509007 - 3415581509007 - OFF#c59f9b2b24823dbb4e0e10950d33b6a1 Glace Macadamia - glace macadamia - - Häagen-Dazs - 0 - 3415581319149 - 3415581319149 - OFF#6da79fdead8b3fd690bad52996f6a96a Glace Speculoos - glace speculoo - - Häagen-Dazs - 0 - 3415587517013 - 3415587517013 - OFF#2b717d323625a69d49382eae5e754390 Glace Rum Raisin - glace rum raisin - - Häagen-Dazs - 0 - 3415581104714 - 3415581104714 - OFF#f9c5333c94d08eb456006116b2941bed Glace Hagen Dazs - glace hagen daz - - Häagen-Dazs - 0 - 3415587326103 - 3415587326103 - OFF#b0afbf77ce1c8cd97deade6f7a04df6e Glace Rhum Raisin - glace rhum raisin - - Häagen-Dazs - 0 - 3415581104127 - 3415581104127 - OFF#809b2f95feb74bdd0cdfdc76b8d3d427 Glace Pierre Hermè - glace pierre herme - - Häagen-Dazs - 0 - 12739701 - 12739701 - OFF#093b1f650ec1b6ae4e1bf98d67dbfa0d Glace Vanille Pécan - glace vanille pecan - - Häagen-Dazs - 0 - 3415581115017 - 3415581115017 - OFF#480ff698ed45963675dd3bbc76e05909 ---------------------------------------------------- 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/68c03e0d526a1/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Glace', 'normName': ' glace ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#baf82ff45a17b8bbad859eb9d87c9ea2', 'quantity': 'un cornet', 'quantityLem': '1 cornet', 'pack': ['AA2.w40', 'GLA.w40'], 'type': 'food', 'gtin': '12131200', 'gtinRef': '12131200', 'brand': 'Häagen-Dazs', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.7971842288970947} ---------------------------------------------------------------------------------- LLM CPU Time: 1.7971842288970947