{"id":1422,"date":"2022-01-13T13:27:36","date_gmt":"2022-01-13T13:27:36","guid":{"rendered":"https:\/\/picockpit.com\/raspberry-pi\/?p=1422"},"modified":"2023-11-13T09:44:59","modified_gmt":"2023-11-13T09:44:59","slug":"teach-bme688-how-to-smell","status":"publish","type":"post","link":"https:\/\/picockpit.com\/raspberry-pi\/es\/teach-bme688-how-to-smell\/","title":{"rendered":"Ense\u00f1a a tu BME688 a oler"},"content":{"rendered":"<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"638\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/Teach-Your-BME688-How-To-Smell-Title-Image.png\" alt=\"Ense\u00f1e a su BME688 a oler la imagen del t\u00edtulo\" class=\"wp-image-5957\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/Teach-Your-BME688-How-To-Smell-Title-Image.png 960w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/Teach-Your-BME688-How-To-Smell-Title-Image-300x199.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/Teach-Your-BME688-How-To-Smell-Title-Image-768x510.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/Teach-Your-BME688-How-To-Smell-Title-Image-18x12.png 18w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Una gu\u00eda completa sobre c\u00f3mo entrenar su sensor BME688<\/h2>\n\n\n\n<p>\u00a1Hola amigos entusiastas de la tecnolog\u00eda! Bosch ha lanzado el <a href=\"https:\/\/buyzero.de\/en\/products\/luftqualitatssensor-bosch-bme688-breakout-board?_pos=2&amp;_sid=9d841f7fd&amp;_ss=r\">BME688<\/a>Un nuevo e impresionante sensor que puede distinguir hasta cuatro olores diferentes. Esta gu\u00eda explicar\u00e1 todos los detalles para ense\u00f1ar a tu BME688 a distinguir olores. No te preocupes si eres nuevo en la IA o en Python. Esta gu\u00eda es adecuada para principiantes.<\/p>\n\n\n\n<p>As\u00ed que, vamos a saltar a la derecha.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Requisitos previos<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/buyzero.de\/en\/products\/raspberry-pi-4-model-b-8gb?_pos=1&amp;_sid=2d20515a2&amp;_ss=r&amp;variant=40326643974324\">Raspberry Pi<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/buyzero.de\/en\/products\/luftqualitatssensor-bosch-bme688-breakout-board?_pos=2&amp;_sid=9d841f7fd&amp;_ss=r\">Placa de interconexi\u00f3n BME688<\/a> o <a href=\"https:\/\/buyzero.de\/en\/products\/bosch-bme688-gas-sensor-developer-kit?variant=37884583182516\">Kit de desarrollo del sensor de gas BME688 de Bosch<\/a><\/li>\n\n\n\n<li>Espec\u00edmenes que producen los olores deseados<\/li>\n\n\n\n<li>Un recipiente herm\u00e9tico para alojar el sensor y la muestra<\/li>\n\n\n\n<li><a href=\"https:\/\/www.bosch-sensortec.com\/software-tools\/software\/bme688-software\/\">BSEC y AI Studio de Bosch<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.picockpit.com\/\">PiCockpit<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Pasos<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Elija su aplicaci\u00f3n<\/li>\n\n\n\n<li>Registrar datos<\/li>\n\n\n\n<li>Entrenar el algoritmo<\/li>\n\n\n\n<li>Detectar olores<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">1. Elija su aplicaci\u00f3n<\/h2>\n\n\n\n<p>El primer paso es elegir su aplicaci\u00f3n. Para esta gu\u00eda voy a utilizar la carne y el queso como ejemplos. Pero hay un abanico infinito de posibilidades. Puedes distinguir las frutas de las verduras o los productos de limpieza de los perfumes. Tambi\u00e9n se puede intentar determinar cu\u00e1ndo la comida se ha estropeado.<\/p>\n\n\n\n<p>Hay ciertas cosas que debe tener en cuenta a la hora de elegir una aplicaci\u00f3n. Necesitas muchos ejemplares para cada clase que quieras distinguir, para asegurarte de que el algoritmo sea robusto. Para empezar, debe elegir algo que sea barato y est\u00e9 ampliamente disponible. Tambi\u00e9n hay que tener en cuenta que es aconsejable utilizar el aire normal como una de las clases, ya que casi siempre estar\u00e1 presente.<\/p>\n\n\n\n<p>Para crear un algoritmo robusto debe utilizar al menos media hora de datos de medici\u00f3n para cada esp\u00e9cimen. Por lo tanto, los espec\u00edmenes que producen un olor constante son una buena elecci\u00f3n. Aseg\u00farese tambi\u00e9n de utilizar una amplia gama de espec\u00edmenes. Si, por ejemplo, s\u00f3lo utiliza naranjas, limones y limas para su clase de fruta, el sensor podr\u00eda no clasificar una frambuesa como fruta, porque es demasiado diferente de los espec\u00edmenes que utiliz\u00f3 para el entrenamiento. Cuanto m\u00e1s espec\u00edmenes diferentes se utilicen, mejor.<\/p>\n\n\n\n<p>Una vez que hayas finalizado tu elecci\u00f3n, es el momento de crear un nuevo proyecto de AI Studio. Abre AI Studio y pulsa el bot\u00f3n <span style=\"background-color:#0a3ec2\" class=\"tadv-background-color\"> <span style=\"color:#074b68\" class=\"has-inline-color\"><strong><span style=\"color:#ffffff\" class=\"tadv-color\">Crear un proyecto ...<\/span><\/strong><\/span> <\/span> Bot\u00f3n. Pulse <strong>Configurar la placa BME<\/strong> si desea registrar datos con una configuraci\u00f3n espec\u00edfica.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. Registrar los datos<\/h2>\n\n\n\n<p>Este proceso var\u00eda, dependiendo de si se utiliza el <a style=\"font-size: revert;\" href=\"https:\/\/buyzero.de\/en\/products\/luftqualitatssensor-bosch-bme688-breakout-board?_pos=2&amp;_sid=9d841f7fd&amp;_ss=r\">Placa de interconexi\u00f3n BME688<\/a><span style=\"font-size: revert; color: initial;\"> o <\/span><a style=\"font-size: revert;\" href=\"https:\/\/buyzero.de\/en\/products\/bosch-bme688-gas-sensor-developer-kit?variant=37884583182516\">Kit de desarrollo del sensor de gas BME688 de Bosch<\/a> (m\u00e1s placa lanzadera). La placa shuttle es m\u00e1s f\u00e1cil de usar y capturar\u00e1 los datos ocho veces m\u00e1s r\u00e1pido que la placa breakout, pero es mucho m\u00e1s cara. En las siguientes secciones explicar\u00e9 en detalle ambos m\u00e9todos.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong><span style=\"color:#6038b2\" class=\"has-inline-color\">Nota:<\/span><\/strong> El sensor BME688 necesita algo de tiempo para adaptarse al entorno y quemarse. Aseg\u00farate de dejarlo funcionando durante al menos 24 horas antes de registrar los datos de tu entrenamiento<\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">Grabaci\u00f3n de datos con la tarjeta BME688 Shuttle Board<\/h3>\n\n\n\n<p>BOSCH equip\u00f3 la placa de la lanzadera con ocho sensores BME688, por lo que produce ocho veces m\u00e1s datos en el mismo tiempo. Todo el software est\u00e1 ya instalado y est\u00e1 listo para salir de la caja. Ver <a href=\"https:\/\/youtu.be\/4vdliMRtxBY\">este video tutorial de Bosch<\/a> para conocer el proceso de medici\u00f3n.<\/p>\n\n\n\n<p>Si grabas muchos espec\u00edmenes en una sola sesi\u00f3n, es posible que quieras anotar la secuencia de los espec\u00edmenes para evitar confusiones. Siempre puedes recortar los datos en AI Studio m\u00e1s tarde, as\u00ed que no tengas miedo de capturar muchos datos.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Registro de datos con la placa de circuito impreso BME688<\/h3>\n\n\n\n<p>Si est\u00e1 utilizando el <a style=\"font-size: revert;\" href=\"https:\/\/buyzero.de\/en\/products\/luftqualitatssensor-bosch-bme688-breakout-board?_pos=2&amp;_sid=9d841f7fd&amp;_ss=r\">Placa de interconexi\u00f3n BME688<\/a><span style=\"font-size: revert; color: initial;\"> <\/span>A\u00fan as\u00ed te aconsejo que veas el <a href=\"https:\/\/youtu.be\/4vdliMRtxBY\">Tutorial de Bosch<\/a> porque proporciona informaci\u00f3n \u00fatil sobre el proceso de entrenamiento en AI Studio. Pero para registrar los datos de entrenamiento se requieren algunos pasos adicionales.<\/p>\n\n\n\n<p>Nosotros, en <a href=\"https:\/\/pi3g.com\/\">pi3g<\/a> ha creado una biblioteca de python para los sensores BME68X, que se puede actualizar con <a href=\"https:\/\/www.bosch-sensortec.com\/software-tools\/software\/bme688-software\/\">Bosch BSEC 2.0<\/a>. Por lo tanto, es \u00fatil si tienes algo de experiencia en python, pero no es necesario.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong><span style=\"color:#6038b2\" class=\"has-inline-color\">Nota:<\/span><\/strong> Consulte las instrucciones de instalaci\u00f3n y uso directamente en nuestro <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\">GitHub<\/a>.<\/p>\n<\/blockquote>\n\n\n\n<p>Comience por clonar nuestro <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\">bme68x-python-library<\/a>. Esto puede hacerse ejecutando el siguiente comando en un terminal bash.<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewbox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"git clone https:\/\/github.com\/pi3g\/bme68x-python-library.git\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copia\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code data-no-translation=\"\"><span class=\"line\"><span style=\"color: #D8DEE9\">git<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">clone<\/span><span style=\"color: #D8DEE9FF\"> https<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #616E88\">\/\/github.com\/pi3g\/bme68x-python-library.git<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Ahora necesitas construir e instalar el m\u00f3dulo python bme68x. El <a href=\"https:\/\/www.bosch-sensortec.com\/software-tools\/software\/bme688-software\/\">BSEC 2.0<\/a> es un software propietario, por lo que debes descargar la versi\u00f3n 2.0.6.1 directamente de Bosch y aceptar su licencia. Descompr\u00edmelo en la carpeta bme68x-python-library y procede con estos comandos.<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewbox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cd path\/to\/bme68x-python-librarysudo python3 setup.py install\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copia\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code data-no-translation=\"\"><span class=\"line\"><span style=\"color: #D8DEE9\">cd<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">path<\/span><span style=\"color: #81A1C1\">\/<\/span><span style=\"color: #D8DEE9\">to<\/span><span style=\"color: #81A1C1\">\/<\/span><span style=\"color: #D8DEE9\">bme68x<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9\">python<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9\">library<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9\">sudo<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">python3<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">setup<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">py<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">install<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Ahora puede ejecutar el <strong>bmerawdata.py<\/strong> con la configuraci\u00f3n por defecto.<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewbox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cd tools\/bmerawdatapython3 bmerawdata.py\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copia\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code data-no-translation=\"\"><span class=\"line\"><span style=\"color: #D8DEE9\">cd<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">tools<\/span><span style=\"color: #81A1C1\">\/<\/span><span style=\"color: #D8DEE9\">bmerawdata<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9\">python3<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">bmerawdata<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">py<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>El script mostrar\u00e1 los datos registrados despu\u00e9s de cada medici\u00f3n. Finalice el script y guarde los datos en un archivo compatible con AI Studio pulsando <strong>Ctrl+c<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Entrenar el algoritmo<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Importar datos<\/h3>\n\n\n\n<p>Independientemente de si se utiliza el <a style=\"font-size: revert;\" href=\"https:\/\/buyzero.de\/en\/products\/luftqualitatssensor-bosch-bme688-breakout-board?_pos=2&amp;_sid=9d841f7fd&amp;_ss=r\">Placa de interconexi\u00f3n BME688<\/a><span style=\"font-size: revert; color: initial;\"> o el <\/span><a style=\"font-size: revert;\" href=\"https:\/\/buyzero.de\/en\/products\/bosch-bme688-gas-sensor-developer-kit?variant=37884583182516\">Kit de desarrollo del sensor de gas BME688 de Bosch<\/a>El siguiente paso es importar los datos a AI Studio. Pulse el bot\u00f3n <span style=\"background-color:#0a3ec2\" class=\"tadv-background-color\"> <span style=\"color:#074b68\" class=\"has-inline-color\"><strong><span style=\"color:#ffffff\" class=\"tadv-color\">Importar datos<\/span><\/strong><\/span> <\/span> y seleccione su archivo .bmerawdata.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"919\" height=\"762\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ImportData.png\" alt=\"\" class=\"wp-image-1453\" style=\"width:509px;height:421px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ImportData.png 919w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ImportData-300x249.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ImportData-768x637.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ImportData-14x12.png 14w\" sizes=\"auto, (max-width: 919px) 100vw, 919px\" \/><figcaption class=\"wp-element-caption\">Di\u00e1logo de importaci\u00f3n de datos<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Su sesi\u00f3n necesita un nombre significativo. Es conveniente elegir una enumeraci\u00f3n de los ejemplares.<\/p>\n\n\n\n<p>Puede ver un gr\u00e1fico de sus datos, por ejemplo del canal de datos de gas, como se muestra a continuaci\u00f3n.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"456\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel-1024x456.png\" alt=\"\" class=\"wp-image-1454\" style=\"width:705px;height:314px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel-1024x456.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel-300x134.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel-768x342.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel-18x8.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-GasDataChannel.png 1402w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Canal de datos del gas<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Si los datos proceden de la placa del transbordador, se puede alternar entre los datos de los ocho sensores. Cada una de las l\u00edneas de color representa un paso del perfil del calentador que se utiliz\u00f3 para capturar los datos.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong><span style=\"color:#6038b2\" class=\"has-inline-color\">Nota:<\/span><\/strong> En la mayor\u00eda de los casos, s\u00f3lo debe utilizar el canal de datos de gas para el entrenamiento.<\/p>\n<\/blockquote>\n\n\n\n<p>Ahora tenemos que etiquetar nuestros espec\u00edmenes. Si grabaste los datos con la placa de lanzadera y utilizaste los botones de a bordo para marcar los espec\u00edmenes, ya podr\u00e1s ver una plantilla para cada uno de ellos. Tambi\u00e9n puedes recortar los espec\u00edmenes y crear otros nuevos (por ejemplo, si grabaste varios espec\u00edmenes con la placa de la lanzadera).<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"419\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels-1024x419.png\" alt=\"\" class=\"wp-image-1455\" style=\"width:620px;height:253px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels-1024x419.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels-300x123.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels-768x314.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels-18x7.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-SpecimenLabels.png 1146w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Etiquetas de muestra y sellos de tiempo<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Cuando haya terminado de editar la sesi\u00f3n, pulse la tecla<span style=\"color:#074b68\" class=\"has-inline-color\"><strong> <span style=\"background-color:#0a3ec2\" class=\"tadv-background-color\"> <span style=\"color:#074b68\" class=\"has-inline-color\"><strong><span style=\"color:#ffffff\" class=\"tadv-color\">Importar datos<\/span><\/strong><\/span> <\/span> <\/strong><\/span>en la esquina inferior derecha del di\u00e1logo.<\/p>\n\n\n\n<p>Una vez importados y etiquetados todos los espec\u00edmenes, es el momento de crear y entrenar el algoritmo.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Crear el algoritmo<\/h3>\n\n\n\n<p>Seleccione <span class=\"tadv-color\" style=\"color:#0a3ec2\"><span class=\"tadv-background-color\" style=\"background-color:#f5f5f5\"> <strong>Mis algoritmos<\/strong><\/span><\/span> en la parte superior y haga clic en <span class=\"tadv-background-color\" style=\"background-color:#0a3ec2\"> <mark style=\"background-color:rgba(0, 0, 0, 0);color:#074b68\" class=\"has-inline-color\"><strong><span class=\"tadv-color\" style=\"color:#ffffff\">+ Nuevo Algoritmo<\/span><\/strong><\/mark> <\/span>. Dale a tu algoritmo un nombre que represente lo que se supone que debe hacer, en mi caso <strong>AirMeatCheese<\/strong>. A continuaci\u00f3n, a\u00f1adir las clases. Yo he llamado a mis clases AireNormal, Carne y Queso. Seleccione qu\u00e9 espec\u00edmenes pertenecen a cada clase y elija un color para cada clase.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"529\" height=\"339\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-NameAlgorithm.png\" alt=\"Nombre de su algoritmo\" class=\"wp-image-1458\" style=\"width:420px;height:269px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-NameAlgorithm.png 529w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-NameAlgorithm-300x192.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-NameAlgorithm-18x12.png 18w\" sizes=\"auto, (max-width: 529px) 100vw, 529px\" \/><figcaption class=\"wp-element-caption\">Nombre de su algoritmo<\/figcaption><\/figure>\n<\/div>\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"397\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes-1024x397.png\" alt=\"Edite sus clases\" class=\"wp-image-1459\" style=\"width:685px;height:265px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes-1024x397.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes-300x116.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes-768x298.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes-18x7.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Classes.png 1147w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Edite sus clases<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Para a\u00f1adir o eliminar espec\u00edmenes puede hacer clic en una de las clases. Este es un ejemplo de lo que el <strong>Carne<\/strong> clase parece.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"699\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings-1024x699.png\" alt=\"Vista de la clase de carne\" class=\"wp-image-1460\" style=\"width:679px;height:463px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings-1024x699.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings-300x205.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings-768x524.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings-18x12.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassSettings.png 1297w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Vista de la clase de carne<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Debajo de las clases puedes ver algunos datos adicionales sobre el algoritmo.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"520\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData-1024x520.png\" alt=\"Datos adicionales del algoritmo\" class=\"wp-image-1462\" style=\"width:663px;height:336px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData-1024x520.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData-300x152.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData-768x390.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData-18x9.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ClassesData.png 1147w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Datos adicionales del algoritmo<\/figcaption><\/figure>\n<\/div>\n\n\n<p>El balance de datos muestra la duraci\u00f3n total de la medici\u00f3n de cada clase. Para garantizar el mejor rendimiento, la duraci\u00f3n de la medici\u00f3n de cada clase debe ser igual. Si la duraci\u00f3n de la medici\u00f3n de una de las clases es mucho mayor, podr\u00eda experimentar un sesgo del algoritmo hacia esa clase. Observe tambi\u00e9n el bot\u00f3n de signo de interrogaci\u00f3n que se encuentra delante de cada ep\u00edgrafe. P\u00falselo para obtener informaci\u00f3n m\u00e1s detallada.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong><span style=\"color:#6038b2\" class=\"has-inline-color\">Nota:<\/span><\/strong> Aseg\u00farate de consultar la documentaci\u00f3n de BME688 AI Studio para obtener m\u00e1s informaci\u00f3n.<\/p>\n<\/blockquote>\n\n\n\n<p>En los canales de datos puede seleccionar cu\u00e1l de las cuatro salidas de los sensores quiere utilizar para su algoritmo. Recomiendo utilizar s\u00f3lo el canal de datos de gas, ya que los otros canales dependen principalmente del entorno y no del esp\u00e9cimen. Una vez que hayas configurado todo, es el momento de entrenar.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Formaci\u00f3n y exportaci\u00f3n<\/h3>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"473\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training-1024x473.png\" alt=\"Entrene su algoritmo\" class=\"wp-image-1464\" style=\"width:719px;height:332px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training-1024x473.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training-300x139.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training-768x355.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training-18x8.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-Training.png 1158w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Entrene su algoritmo<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Aqu\u00ed puede seleccionar el m\u00e9todo de entrenamiento, las rondas m\u00e1ximas y la divisi\u00f3n de datos. Si eres nuevo en el mundo de las redes neuronales, deber\u00edas dejar todo en la configuraci\u00f3n por defecto. No obstante, intentar\u00e9 explicar brevemente cada uno de esos ajustes.<\/p>\n\n\n\n<p>El \u00fanico m\u00e9todo de entrenamiento disponible en el momento en que escribo esto es el optimizador ADAM. Se trata de una forma espec\u00edfica de encontrar un m\u00ednimo en la funci\u00f3n de error (menos error significa predicciones m\u00e1s precisas). Se pueden seleccionar diferentes tama\u00f1os de lote para mejorar la velocidad y la estabilidad del entrenamiento.<\/p>\n\n\n\n<p>Aumentar el n\u00famero m\u00e1ximo de rondas de entrenamiento es otra forma de mejorar el rendimiento del algoritmo. En cada ronda (a menudo denominada \u00e9poca), AI Studio alimenta todo el conjunto de datos de entrenamiento a trav\u00e9s de la red neuronal. Esto significa que un mayor n\u00famero de rondas m\u00e1ximas aumentar\u00e1 el tiempo de entrenamiento del algoritmo. La mayor\u00eda de las veces, AI Studio detectar\u00e1 si se alcanza un m\u00ednimo y terminar\u00e1 el entrenamiento antes de que se alcancen las rondas m\u00e1ximas. Esto reduce el tiempo de entrenamiento y evita el sobreajuste.<\/p>\n\n\n\n<p>La sobreadaptaci\u00f3n significa que la red neuronal se ha ajustado demasiado a los datos de entrenamiento. Si el algoritmo obtiene una precisi\u00f3n muy alta en el entrenamiento, pero su rendimiento es pobre en las pruebas de la vida real, es posible que desee disminuir las rondas m\u00e1ximas de entrenamiento.<\/p>\n\n\n\n<p>La configuraci\u00f3n de la divisi\u00f3n de los datos le permite seleccionar qu\u00e9 parte de los datos registrados se utiliza para el entrenamiento y qu\u00e9 parte se utiliza para la prueba. Debe evitar utilizar m\u00e1s de un tercio de los datos para las pruebas. Como su nombre indica, el algoritmo s\u00f3lo utilizar\u00e1 los datos de entrenamiento para la formaci\u00f3n. Una vez finalizado el entrenamiento, AI Studio evaluar\u00e1 el algoritmo utilizando los datos de prueba, que nunca ha visto antes.<\/p>\n\n\n\n<p>Pulse <span style=\"color:#074b68\" class=\"has-inline-color\"><strong><span style=\"background-color:#0a3ec2\" class=\"tadv-background-color\"> <span style=\"color:#074b68\" class=\"has-inline-color\"><strong><span style=\"color:#ffffff\" class=\"tadv-color\">Entrenar la red neuronal<\/span><\/strong><\/span> <\/span><\/strong><\/span> para iniciar el entrenamiento. Ver\u00e1 el tiempo de entrenamiento restante estimado y el gr\u00e1fico de l\u00edneas de la precisi\u00f3n y la p\u00e9rdida.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"549\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess-1024x549.png\" alt=\"Progreso de la formaci\u00f3n\" class=\"wp-image-1467\" style=\"width:772px;height:413px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess-1024x549.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess-300x161.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess-768x412.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess-18x10.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-TrainingProcess.png 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Progreso de la formaci\u00f3n<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Con cada epoch la Precisi\u00f3n y la Precisi\u00f3n de Validaci\u00f3n deber\u00edan mejorar, mientras que la P\u00e9rdida y la P\u00e9rdida de Validaci\u00f3n deber\u00edan disminuir. Espere a que termine el entrenamiento.<\/p>\n\n\n\n<p>Una vez terminado el entrenamiento, compruebe la matriz de confusi\u00f3n. Contiene informaci\u00f3n importante sobre los resultados del entrenamiento. La estad\u00edstica m\u00e1s interesante es la precisi\u00f3n, pero si los datos de entrenamiento est\u00e1n distribuidos de forma desigual, la puntuaci\u00f3n F1 podr\u00eda ser una m\u00e9trica mejor.<\/p>\n\n\n<div class=\"wp-block-image is-style-default\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"505\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix-1024x505.png\" alt=\"Matriz de confusi\u00f3n y resultados del entrenamiento\" class=\"wp-image-1468\" style=\"width:702px;height:346px\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix-1024x505.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix-300x148.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix-768x379.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix-18x9.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2022\/01\/BME688-ConfusionMatrix.png 1096w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Matriz de confusi\u00f3n y resultados del entrenamiento<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Rara vez se conseguir\u00e1 una precisi\u00f3n superior a 90%, por lo que si la precisi\u00f3n es superior a 80% se debe exportar el algoritmo para probarlo. Detectaremos los olores utilizando nuestro <a style=\"font-size: revert;\" href=\"https:\/\/www.picockpit.com\/\">PiCockpit<\/a> interfaz web. Aseg\u00farese de exportar el algoritmo para la versi\u00f3n 2.0.6.1 de BSEC ya que <a style=\"font-size: revert;\" href=\"https:\/\/www.picockpit.com\/\">PiCockpit<\/a> s\u00f3lo es compatible con esta versi\u00f3n hasta ahora.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong><span style=\"color:#6038b2\" class=\"has-inline-color\">Nota:<\/span><\/strong> En la mayor\u00eda de los casos, la formaci\u00f3n terminar\u00e1 antes de alcanzar la duraci\u00f3n estimada.<\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">4. Detectar olores<\/h2>\n\n\n\n<p>Para detectar los olores basta con instalar el <a style=\"font-size: revert;\" href=\"https:\/\/www.picockpit.com\/\">PiCockpit<\/a> y con\u00e9ctalo a tu cuenta. Si no tiene <a style=\"font-size: revert;\" href=\"https:\/\/www.picockpit.com\/\">PiCockpit<\/a> pero s\u00f3lo tienes que registrarte gratuitamente y seguir las instrucciones que all\u00ed se indican. Nuestra aplicaci\u00f3n Digital Nose le permite cargar su algoritmo entrenado y ver las predicciones en vivo a trav\u00e9s de la interfaz web. Consulte la <a href=\"https:\/\/picockpit.com\/raspberry-pi\/bme688-digitalnose-detect-different-smell-patterns-with-bosch-bme688-sensor-and-ai-technology\/\">Ayuda para la nariz digital<\/a> para obtener una explicaci\u00f3n completa sobre el uso de la aplicaci\u00f3n.<\/p>\n\n\n\n<p>Otra forma de detectar los olores es utilizando nuestro <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\">BME68X Extensi\u00f3n Python<\/a>. Esto requiere algo de codificaci\u00f3n en python, pero ofrece m\u00e1s control y le permite crear sus propias aplicaciones utilizando su algoritmo. Consulte el <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\/blob\/main\/README.md\">README.md<\/a>El <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\/blob\/main\/PythonDocumentation.md\">Documentaci\u00f3n.md<\/a> y el <a href=\"https:\/\/github.com\/pi3g\/bme68x-python-library\/tree\/main\/examples\">ejemplos<\/a> para aprender a instalar y utilizar la extensi\u00f3n.<\/p>\n\n\n\n<p>As\u00ed que ah\u00ed lo tienes. Ahora deber\u00eda ser capaz de registrar datos, entrenar su algoritmo y detectar olores. Por favor, hazme saber si has encontrado esta gu\u00eda \u00fatil o si has experimentado alg\u00fan problema al seguir esta gu\u00eda.<\/p>\n\n\n\n<p>P\u00f3ngase en contacto conmigo en nathan@pi3g.com<\/p>\n<div class=\"shariff shariff-align-center shariff-widget-align-left shariff-buttonstretch\"><ul class=\"shariff-buttons theme-white orientation-horizontal buttonsize-medium\"><li class=\"shariff-button twitter shariff-nocustomcolor\" style=\"background-color:#595959\"><a href=\"https:\/\/twitter.com\/share?url=https%3A%2F%2Fpicockpit.com%2Fraspberry-pi%2Fes%2Fteach-bme688-how-to-smell%2F&text=Teach%20your%20BME688%20how%20to%20smell\" title=\"Compartir en X\" aria-label=\"Compartir en X\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#000; color:#000\" target=\"_blank\"><span class=\"shariff-icon\" style=\"fill:#000\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\"><path fill=\"#000\" d=\"M14.258 10.152L23.176 0h-2.113l-7.747 8.813L7.133 0H0l9.352 13.328L0 23.973h2.113l8.176-9.309 6.531 9.309h7.133zm-2.895 3.293l-.949-1.328L2.875 1.56h3.246l6.086 8.523.945 1.328 7.91 11.078h-3.246zm0 0\"\/><\/svg><\/span><span class=\"shariff-text\" style=\"color:#000\">compartir<\/span>&nbsp;<\/a><\/li><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fpicockpit.com%2Fraspberry-pi%2Fes%2Fteach-bme688-how-to-smell%2F\" title=\"Compartir en Facebook\" aria-label=\"Compartir en Facebook\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#3b5998\" target=\"_blank\"><span class=\"shariff-icon\" style=\"fill:#3b5998\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"\/><\/svg><\/span><span class=\"shariff-text\" style=\"color:#3b5998\">compartir<\/span>&nbsp;<\/a><\/li><li class=\"shariff-button telegram shariff-nocustomcolor\" style=\"background-color:#4084A6\"><a href=\"https:\/\/telegram.me\/share\/url?url=https%3A%2F%2Fpicockpit.com%2Fraspberry-pi%2Fes%2Fteach-bme688-how-to-smell%2F&text=Teach%20your%20BME688%20how%20to%20smell\" title=\"Compartir en Telegram\" aria-label=\"Compartir en Telegram\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0088cc; color:#0088cc\" target=\"_blank\"><span class=\"shariff-icon\" style=\"fill:#0088cc\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 32 32\"><path fill=\"#0088cc\" d=\"M30.8 6.5l-4.5 21.4c-.3 1.5-1.2 1.9-2.5 1.2L16.9 24l-3.3 3.2c-.4.4-.7.7-1.4.7l.5-7L25.5 9.2c.6-.5-.1-.8-.9-.3l-15.8 10L2 16.7c-1.5-.5-1.5-1.5.3-2.2L28.9 4.3c1.3-.5 2.3.3 1.9 2.2z\"\/><\/svg><\/span><span class=\"shariff-text\" style=\"color:#0088cc\">compartir<\/span>&nbsp;<\/a><\/li><li class=\"shariff-button reddit shariff-nocustomcolor\" style=\"background-color:#ff5700\"><a href=\"https:\/\/www.reddit.com\/submit?url=https%3A%2F%2Fpicockpit.com%2Fraspberry-pi%2Fes%2Fteach-bme688-how-to-smell%2F\" title=\"Compartir en Reddit\" aria-label=\"Compartir en Reddit\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#ff4500; color:#ff4500\" target=\"_blank\"><span class=\"shariff-icon\" style=\"fill:#ff4500\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\"><path fill=\"#ff4500\" d=\"M440.3 203.5c-15 0-28.2 6.2-37.9 15.9-35.7-24.7-83.8-40.6-137.1-42.3L293 52.3l88.2 19.8c0 21.6 17.6 39.2 39.2 39.2 22 0 39.7-18.1 39.7-39.7s-17.6-39.7-39.7-39.7c-15.4 0-28.7 9.3-35.3 22l-97.4-21.6c-4.9-1.3-9.7 2.2-11 7.1L246.3 177c-52.9 2.2-100.5 18.1-136.3 42.8-9.7-10.1-23.4-16.3-38.4-16.3-55.6 0-73.8 74.6-22.9 100.1-1.8 7.9-2.6 16.3-2.6 24.7 0 83.8 94.4 151.7 210.3 151.7 116.4 0 210.8-67.9 210.8-151.7 0-8.4-.9-17.2-3.1-25.1 49.9-25.6 31.5-99.7-23.8-99.7zM129.4 308.9c0-22 17.6-39.7 39.7-39.7 21.6 0 39.2 17.6 39.2 39.7 0 21.6-17.6 39.2-39.2 39.2-22 .1-39.7-17.6-39.7-39.2zm214.3 93.5c-36.4 36.4-139.1 36.4-175.5 0-4-3.5-4-9.7 0-13.7 3.5-3.5 9.7-3.5 13.2 0 27.8 28.5 120 29 149 0 3.5-3.5 9.7-3.5 13.2 0 4.1 4 4.1 10.2.1 13.7zm-.8-54.2c-21.6 0-39.2-17.6-39.2-39.2 0-22 17.6-39.7 39.2-39.7 22 0 39.7 17.6 39.7 39.7-.1 21.5-17.7 39.2-39.7 39.2z\"\/><\/svg><\/span><span class=\"shariff-text\" style=\"color:#ff4500\">compartir<\/span>&nbsp;<\/a><\/li><\/ul><\/div>","protected":false},"excerpt":{"rendered":"<p>Una gu\u00eda completa sobre c\u00f3mo entrenar tu sensor BME688 \u00a1Hola compa\u00f1eros entusiastas de la tecnolog\u00eda! Bosch ha lanzado el BME688, un nuevo e impresionante sensor que puede distinguir hasta cuatro olores diferentes. Esta gu\u00eda te explicar\u00e1 todos los detalles para ense\u00f1ar a tu BME688 a distinguir los olores. No te preocupes si eres nuevo en la IA o en Python....<\/p>","protected":false},"author":3,"featured_media":5957,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[67,3],"tags":[210,850,849,856,797,851,816,858,854,462,855,193,486,447,476,187,853,857,852],"class_list":["post-1422","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-picockpit-apps","category-raspberry-pi-how-to","tag-ai","tag-ai-studio","tag-beginners-guid","tag-bme-board","tag-bme688","tag-bosch","tag-bsec","tag-digital-nose","tag-fragrance","tag-newbie","tag-perfume","tag-picockpit","tag-project","tag-projects","tag-python","tag-raspberry-pi","tag-scent","tag-shuttle-board","tag-smell"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Teach your BME688 how to smell | PiCockpit<\/title>\n<meta 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