Identificar automáticamente imágenes estiradas en exceso y restaurar el contenido de la imagen a proporciones normales.
Restaurar relación de aspecto. - Características del Endpoint
Objeto | Descripción |
---|---|
Cuerpo de la Solicitud |
[Requerido] Archivo Binario |
{"ratio":-0.8650732338428497,"image":"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...
curl --location 'https://zylalabs.com/api/2074/aspect+ratio+restoring+api/1856/restore+aspect+ratio' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
Encabezado | Descripción |
---|---|
Autorización
|
[Requerido] Debería ser Bearer access_key . Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito. |
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento. La Prueba Gratuita incluye hasta 50 solicitudes.
La API de restauración de relaciones de aspecto utiliza algoritmos avanzados y técnicas de análisis de imágenes para detectar distorsiones en las imágenes. Analiza las dimensiones de la imagen y las compara con relaciones de aspecto estándar, identificando cualquier desviación significativa que indique estiramiento o distorsión.
Sí, la API admite varios formatos de imagen comúnmente utilizados en la web, incluidos JPEG, PNG y GIF. Puede detectar y corregir automáticamente problemas de relación de aspecto en imágenes de estos formatos, asegurando la compatibilidad con diferentes aplicaciones y flujos de trabajo.
No, la API de Restauración de Proporción de Aspecto no modifica el archivo de imagen original. En cambio, genera una nueva versión de la imagen con proporciones corregidas. El archivo de imagen original permanece sin cambios, preservando su integridad y permitiendo la comparación o opciones de retroceso si es necesario.
La API de Restauración de Relación de Aspecto utiliza algoritmos sofisticados para lograr resultados de restauración precisos. Sin embargo, el nivel de precisión puede variar dependiendo de la complejidad de la distorsión y la calidad de la imagen. Se recomienda probar la API con muestras representativas para evaluar su rendimiento en casos de uso específicos.
Sí, la API de Restauración de Relación de Aspecto puede manejar tanto el estiramiento horizontal como el vertical. Analiza las dimensiones de la imagen y aplica técnicas adecuadas de redimensionamiento y recorte para restaurar el contenido de la imagen a sus proporciones normales, independientemente de la dirección del estiramiento.
El endpoint Restaurar Relación de Aspecto devuelve un objeto JSON que contiene la imagen corregida en formato base64 y un valor numérico que representa el ajuste de relación de aspecto realizado. Esto permite a los desarrolladores integrar fácilmente la imagen restaurada en sus aplicaciones.
Los campos clave en los datos de respuesta incluyen "imagen", que contiene la cadena codificada en base64 de la imagen restaurada, y "ratio", que indica el ajuste de la relación de aspecto aplicado a la imagen original.
Los datos de respuesta están estructurados como un objeto JSON con dos campos principales: "imagen" para la imagen restaurada codificada en base64 y "ratio" para el ajuste de la relación de aspecto. Esta clara estructura facilita el análisis y la integración en aplicaciones.
El endpoint Restaurar Relación de Aspecto acepta principalmente la imagen distorsionada como entrada, generalmente en formato base64. Los usuarios pueden personalizar sus solicitudes proporcionando diferentes imágenes para ser procesadas para la restauración de la relación de aspecto.
Los usuarios pueden decodificar la cadena base64 del campo "imagen" para mostrar la imagen restaurada en sus aplicaciones. El campo "ratio" se puede utilizar para registros o análisis para comprender el grado de distorsión corregida.
Los casos de uso típicos incluyen corregir imágenes de productos en e-commerce, mejorar imágenes subidas por los usuarios en redes sociales y mantener relaciones de aspecto consistentes en señalización digital. Estas aplicaciones se benefician de una mejor calidad visual y experiencia del usuario.
La precisión de los datos se mantiene a través de algoritmos avanzados que analizan las dimensiones de las imágenes y aplican técnicas de redimensionamiento inteligentes. Las pruebas continuas y las actualizaciones aseguran que la API se adapte a varios tipos de imágenes y escenarios de distorsión.
La API emplea controles de calidad durante el proceso de restauración para asegurar que las imágenes de salida mantengan la integridad visual y la claridad. Esto incluye evaluar la efectividad de la corrección de la relación de aspecto y garantizar una pérdida mínima de detalle.
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