Input path: /home/debian/html/nutritwin/output_llm/6911d509f2d1b/input.json Output path: /home/debian/html/nutritwin/output_llm/6911d509f2d1b/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/6911d509f2d1b/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": "lait", "quantity": "quatre pots", "type": "beverage", "event": "declaration", "timeOfTheDay": "snacking", "brand": "Lactel", "company": "Lactalis" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "lait", "quantity": "quatre pots", "type": "beverage", "event": "declaration", "timeOfTheDay": "snacking", "brand": "Lactel", "company": "Lactalis" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "lait", "quantity": "quatre pots", "type": "beverage", "event": "declaration", "timeOfTheDay": "snacking", "brand": "Lactel", "company": "Lactalis" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'lait', 'quantity': 'quatre pots', 'type': 'beverage', 'event': 'declaration', 'timeOfTheDay': 'snacking', 'brand': 'Lactel', 'company': 'Lactalis'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'lait', 'quantity': 'quatre pots', 'type': 'beverage', 'event': 'declaration', 'timeOfTheDay': 'snacking', 'brand': 'Lactel', 'company': 'Lactalis'} 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 '% lait %' AND V_NormTrademark LIKE '%lactel%' ------------- Found solution (max 20) -------------- Lait - lait - - Lactel - 0 - 3428271120017 - 3428271120017 - OFF#2fc19b80b69cc49d323ff420cdc78ea1 Lait - lait - - Lactel - 0 - 3428274140043 - 3428271120017 - OFF#8decaf3b7849768018db146483ab7900 Lait - lait - - Lactel - 0 - 3428271200016 - 3428271120017 - OFF#32189e7d4d5f246463bb58603ce07ba4 Lait - lait - - Lactel - 0 - 3838800060774 - 3428271120017 - OFF#8cbe2d27130d746261b1d700f0400592 Lait Entier - lait entier - - Lactel - 0 - 3252212910067 - 3252212910067 - OFF#3396855f1eb68ddbfbaa961462ca0c32 Lait Lactel - lait lactel - - Lactel - 0 - 3428274090072 - 3428274090072 - OFF#fe58d6ce6440872c0eb0ef95dd642d1a Lait Entier - lait entier - - Lactel - 0 - 3428273980022 - 3252212910067 - OFF#aac9756f235492d93a25cdff6c2d32a1 Lait Entier - lait entier - - Lactel - 0 - 3428274150066 - 3252212910067 - OFF#4835a9dcf06b0439c06a9969407783b5 Lait Lactel - lait lactel - - Lactel - 0 - 3428274200303 - 3428274090072 - OFF#add1dbcfe4242aec24ac0cf71a0889f8 Lait Chocolat - lait chocolat - - Lactel - 0 - 3155250366752 - 3155250366752 - OFF#2dbf66571cba5edd9b5a0c319522b340 Lait Chocolaté - lait chocolate - - Lactel - 0 - 3155250365434 - 3155250365434 - OFF#9396940164ec9b39ea11d331c5ee7047 Lait de Chèvre - lait de chevre - - Lactel - 0 - 3428271990030 - 3428271990030 - OFF#d55bad3b8484fb0eb8c91d2568062890 Lait de Brebis - lait de brebi - - Lactel - 0 - 3428274160027 - 3428274160027 - OFF#64533067e3e054e961022a2cc1559f2d Lait de Chèvre - lait de chevre - - Lactel - 0 - 3428273140051 - 3428271990030 - OFF#117fdb0fbbbafd866f8008cb198631f2 Lait de Chèvre - lait de chevre - - Lactel - 0 - 3428274960078 - 3428271990030 - OFF#87a8a1af62a7256a60e3b7fed08e93eb Lait Entier BIO - lait entier bio - - Lactel - 0 - 3428271100088 - 3428271100088 - OFF#024653271863443ae6820cd84ddb38f2 Lait Lactel BIO - lait lactel bio - - Lactel - 0 - 3428271200023 - 3428271200023 - OFF#e1d3305bc0b2e612ffb268ba2c874a71 Lait BIO Écrémé - lait bio ecreme - - Lactel - 0 - 3428272970147 - 3428272970147 - OFF#ab7a02b1e98427b761c068b2a33b5190 Lait Écrémé BIO - lait ecreme bio - - Lactel - 0 - 3428272970154 - 3428272970154 - OFF#2a91af30bcfab5f9ca187faf14492116 Lait Écrémé UHT - lait ecreme uht - - Lactel - 0 - 3428273060021 - 3428273060021 - OFF#b4aebb786ab3e734a160f5a7707215fd ---------------------------------------------------- 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/6911d509f2d1b/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Lait', 'normName': ' lait ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#2fc19b80b69cc49d323ff420cdc78ea1', 'quantity': 'quatre pots', 'quantityLem': '4 pot', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '3428271120017', 'gtinRef': '3428271120017', 'brand': 'Lactel', 'time': 'snacking', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.2262070178985596} ---------------------------------------------------------------------------------- LLM CPU Time: 2.2262070178985596