Input path: /home/debian/html/nutritwin/output_llm/67e2f22356889/input.json Output path: /home/debian/html/nutritwin/output_llm/67e2f22356889/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/67e2f22356889/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": "salade", "quantity": "une assiette", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "trois tranches", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "plusieurs feuilles", "type": "food", "event": "declaration" }, { "name": "cornichon", "quantity": "trois", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "salade", "quantity": "une assiette", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "trois tranches", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "plusieurs feuilles", "type": "food", "event": "declaration" }, { "name": "cornichon", "quantity": "trois", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "salade", "quantity": "une assiette", "type": "food", "event": "declaration" }, { "name": "tomate", "quantity": "trois tranches", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "plusieurs feuilles", "type": "food", "event": "declaration" }, { "name": "cornichon", "quantity": "trois", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'salade', 'quantity': 'une assiette', 'type': 'food', 'event': 'declaration'}, {'name': 'tomate', 'quantity': 'trois tranches', 'type': 'food', 'event': 'declaration'}, {'name': 'laitue', 'quantity': 'plusieurs feuilles', 'type': 'food', 'event': 'declaration'}, {'name': 'cornichon', 'quantity': 'trois', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'salade', 'quantity': 'une assiette', '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 '% salade %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Salade Verte - salade verte - avec vinaigrette - - 61586 - - - KCA#4ab5b82c387924b3ce222cda9fdf1f3e Salade Verte - salade verte - sans vinaigrette - - 15302 - - - KCA#ffaecdf2b67b1ae9d2055afa2173c027 Salade Niçoise - salade nicoise - - - 1348 - - - KCA#efe4104c925882c65bd6f6b73fa7d83d Salade de Thon - salade de thon - - - 497 - - - KCA#045576a4e0c108e96a1b52eeba4beadd Salade d'Hiver - salade hiver - - - 78 - - - KCA#5a960774d04f50fe578e463e0f9e2162 Salade Annette - salade annette - - - 41 - - - KCA#79c3168ea2ae726f8a9413652e1e494d Salade Sucrine - salade sucrine - crue - - 0 - - - CIQ#585cc2b31af0e7eb529fdf895528fe05 Salade Toscane - salade toscane - aux Haricots blancs - - 18 - - - KCA#be8ed7a89aed17fdfb40b9281b842da6 Salade au Crabe - salade crabe - - - 146 - - - KCA#49933e7bbe5c7951d1dc36a9f359bb9e Salade aux Noix - salade au noix - - - 95 - - - KCA#ec74cd73a5ad2e8c35d392cd1be18ad1 Salade de Crabe - salade de crabe - - - 41 - - - KCA#5f326d471456f93c0648be1cdc2d972b Salade Bretonne - salade bretonne - - - 24 - - - KCA#f0ec29196404ebd264368d7a3d6ec613 Salade d'Endives - salade endive - - - 3059 - - - KCA#22f49bd5d9db2619011406f0bcce4e4b Salade Mexicaine - salade mexicaine - - - 71 - - - KCA#baefde744d8bd6461d54f675f6d9df8f Salade d'Oranges - salade orange - - - 71 - - - KCA#a7fe61d6cb0d6c12eba4ca95e0f74781 Salade Parmesane - salade parmesane - - - 37 - - - KCA#00d21cf2bcf54f149c3be1e85cc57c86 Salade de Boeufs - salade de boeuf - - - 31 - - - KCA#6e7fef1920807286c41436f9dd80d7cd Salade Savoyarde - salade savoyarde - - - 22 - - - KCA#3f0772f9b75d2e84abb90af05577fa4f Salade Orientale - salade orientale - - - 19 - - - KCA#1357f3188295c40790017dd101179e20 Salade Antiboise - salade antiboise - - - 14 - - - KCA#31b0831c98bae8b9e92f1a2c4b233310 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'tomate', 'quantity': 'trois tranches', '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 ----------- result to be analyzed ----------- {'name': 'laitue', 'quantity': 'plusieurs feuilles', '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 '% laitue %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Laitue Cuite - laitue cuite - - - 30 - - - KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0 Laitue de Mer - laitue de mer - Ulva sp., séchée ou déshydratée - - 0 - - - CIQ#c959afcc0aa071ec5d9399df439e0fad Laitues Farcies - laitue farcie - - - 3 - - - KCA#7163344a51e0604fbb5c947f09f514e1 Laitue Romaine Crue - laitue romaine crue - - - 0 - - - KCA#af01736b89483da6245a3e9975201caf Potage à la Laitue - potage laitue - - - 5 - - - KCA#6706b7ac4ed7cda61eb5dd4e9bd60f2b ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'cornichon', 'quantity': 'trois', '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 '% cornichon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Cornichon - cornichon - aigre-doux - - 0 - - - CIQ#6047d565cdfe6903e42e91d933bb6cbd Cornichon - cornichon - au vinaigre - - 4613 - - - CIQ#ff6e35c9260807fe65c232c345e63614 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67e2f22356889/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Salade Verte', 'normName': ' salade verte ', 'comment': 'avec vinaigrette', 'normComment': ' avec vinaigrette ', 'rank': 61586, 'id': 'KCA#4ab5b82c387924b3ce222cda9fdf1f3e', 'quantity': 'une assiette', 'quantityLem': '1 assiette', 'pack': ['SAL.w170'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'SAL-100', 'posiNormName': 0}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'trois tranches', 'quantityLem': '3 tranche', 'pack': ['TOM.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Laitue Cuite', 'normName': ' laitue cuite ', 'comment': '', 'normComment': '', 'rank': 30, 'id': 'KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0', 'quantity': 'plusieurs feuilles', 'quantityLem': 'plusieur feuille', 'pack': ['APL.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Cornichon', 'normName': ' cornichon ', 'comment': 'aigre-doux', 'normComment': ' aigre dou ', 'rank': 0, 'id': 'CIQ#6047d565cdfe6903e42e91d933bb6cbd', 'quantity': 'trois', 'quantityLem': '3', 'pack': ['COR.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'COR-300', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 8.79813003540039} ---------------------------------------------------------------------------------- LLM CPU Time: 8.79813003540039