Input path: /home/debian/html/nutritwin/output_llm/67fbfdf46bac4/input.json Output path: /home/debian/html/nutritwin/output_llm/67fbfdf46bac4/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/67fbfdf46bac4/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": "courgettes", "quantity": "plusieurs tranches", "cookingMethod": "saut\u00e9es", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "plusieurs morceaux", "cookingMethod": "r\u00f4ties", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "courgettes", "quantity": "plusieurs tranches", "cookingMethod": "saut\u00e9es", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "plusieurs morceaux", "cookingMethod": "r\u00f4ties", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "courgettes", "quantity": "plusieurs tranches", "cookingMethod": "saut\u00e9es", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "plusieurs morceaux", "cookingMethod": "r\u00f4ties", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'courgettes', 'quantity': 'plusieurs tranches', 'cookingMethod': 'sautées', 'type': 'food', 'event': 'declaration'}, {'name': 'pommes de terre', 'quantity': 'plusieurs morceaux', 'cookingMethod': 'rôties', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'courgettes', 'quantity': 'plusieurs tranches', 'cookingMethod': 'sautées', '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 '% courgette %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Courgette - courgette - pulpe et peau - - 6197 - - - CIQ#8f15e99f917acaea5e5d4d09c1ac70fd Courgette - courgette - pulpe et peau, crue - - 10037 - - - CIQ#293f06655b9594a266b55f179a16bd56 Courgette - courgette - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#2a09434ec4c982719db3b87fb986b92a Courgettes Frites - courgette frite - - - 207 - - - KCA#959d0fa787188921ad4497a575b243ab Courgettes Farcies - courgette farcie - - - 862 - - - KCA#77e254b2cd7edd2930ea260315eff594 Courgettes Mousseline - courgette mousseline - - - 168 - - - KCA#25d0446a01b3d8dd52d503827adba452 Courgettes à l'Orientale - courgette orientale - - - 26 - - - KCA#67d86f19e38566e0d5b257f32b627f4d Courgettes Façon Actifry - courgette facon actifry - - - 15 - - - KCA#10c8891e84e0c283919c921e9acde855 Courgettes Farcies au Maigre - courgette farcie maigre - - - 42 - - - KCA#c6d1d8514e1d9b2ea736c6751ba2e452 Flan de Courgette - flan de courgette - - - 890 - - - KCA#9809af1c34ea8cd82f667ff2d233bf58 Pâtes aux Courgettes et à la Ricotta - pate au courgette ricotta - - - 86 - - - KCA#b083d2bc60b9e47b8d1416c1969b5f6d Purée de Courgettes Pomme de Terre - puree de courgette pomme de terre - - - 96 - - - KCA#33431af664194d56f5845a8d1fa010a9 Gratin de Courgettes à la Bolognaise - gratin de courgette bolognaise - - - 99 - - - KCA#3a9a287b43639c40798a6e25743e7505 Beignets de Courgettes - beignet de courgette - - - 147 - - - KCA#d826bc4b23eebc71f3a93e4321e1632f Omelette aux Courgettes - omelette au courgette - - - 125 - - - KCA#4b746e9c0feef9bca3c7252301d6c95d Lentilles Brunes à la Courgette et au Chorizo - lentille brune courgette chorizo - - - 6 - - - KCA#488b3d0b5e6b068cb458940010656fd5 ---------------------------------------------------- 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 ----------- result to be analyzed ----------- {'name': 'pommes de terre', 'quantity': 'plusieurs morceaux', 'cookingMethod': 'rôties', '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 '% pomme de terre %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pomme de Terre - pomme de terre - égouttée - - 26541 - - - CIQ#bbc0fd1495ed69b7aadd91d1d9b9ae69 Pomme de Terre - pomme de terre - aliment moyen - - 0 - - - CIQ#15f690b8140afc79288abfb96a139095 Pomme de Terre - pomme de terre - sans peau, crue - - 0 - - - CIQ#9d1dc4d850cf0a126428e8235097b299 Pomme de Terre - pomme de terre - rôtie/cuite au four - - 0 - - - CIQ#73642ae51d1ceb413f96f404c2e8fcc5 Pomme de Terre - pomme de terre - purée, aliment moyen - - 0 - - - CIQ#20c56d85dc4d344fdfb3594d5e93f5ff Pomme de Terre - pomme de terre - bouillie/cuite à l'eau - - 0 - - - CIQ#6997e933cb8bbe4ad6fb62b2f04c05c2 Pomme de Terre - pomme de terre - sans peau, rôtie/cuite au four - - 0 - - - CIQ#7c973fe7644a5cc7a5e1ac7f7690f91c Pomme de Terre - pomme de terre - purée, avec lait et beurre, non salée - - 54 - - - CIQ#f6d85f887fb7a88d451e7d1390b123ee Pomme de Terre - pomme de terre - flocons déshydratés, au lait ou à la crème - - 0 - - - CIQ#1450a8209d87032018367a76931b19ad Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait entier, matière grasse - - 0 - - - CIQ#e310092ee2308f72f5d4eb70daa82fbc Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait demi-écrémé et eau, non salée - - 0 - - - CIQ#3b12d13dfd318911c754bcb37b7b05ab Pomme de Terre Anna - pomme de terre anna - - - 43 - - - KCA#96fe2fadd9f331eb4549227f2e4a6267 Pomme de Terre Chips - pomme de terre chip - - - 42 - - - KCA#1deb7b7eab80f8586099ee58a6db9ea2 Pomme de Terre Purée - pomme de terre puree - - - 40 - - - KCA#0d4cd5387a20885448dbbf1f634017b3 Pomme de Terre Byron - pomme de terre byron - - - 4 - - - KCA#244d59f3080438c8160682d32b6ff789 Pomme de Terre Rôties - pomme de terre rotie - - - 1077 - - - KCA#797b578eb598e7082faea0ae30d34021 Pomme de Terre Frites - pomme de terre frite - - - 178 - - - KCA#d9391c743d3aee9e28d0940b17624718 Pomme de Terre Vapeur - pomme de terre vapeur - sous vide - - 0 - - - CIQ#d52218f9e63c6cb0bf8151b244a71afd Pomme de Terre Poêlée - pomme de terre poelee - avec matière grasse - - 0 - - - CIQ#b717c125ad32aa35b8cd673ba48f8c60 Pomme de Terre Sautées - pomme de terre sautee - - - 5854 - - - KCA#7e685fe608808c6ddb2b7b1edab93c82 ---------------------------------------------------- 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 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/67fbfdf46bac4/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Courgette', 'normName': ' courgette ', 'comment': 'pulpe et peau', 'normComment': ' pulpe peau ', 'rank': 6197, 'id': 'CIQ#8f15e99f917acaea5e5d4d09c1ac70fd', 'quantity': 'plusieurs tranches', 'quantityLem': 'plusieur tranche', 'pack': ['CO3.w300'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Pomme de Terre', 'normName': ' pomme de terre ', 'comment': 'égouttée', 'normComment': ' egouttee ', 'rank': 26541, 'id': 'CIQ#bbc0fd1495ed69b7aadd91d1d9b9ae69', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['PDT.w120'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.7727110385894775} ---------------------------------------------------------------------------------- LLM CPU Time: 4.7727110385894775