Проблемы с отправкой изображения Base64 через JSON в FastAPI Python и получением в C# ⇐ C#

[Anonymous]

Мне удалось объединить два кода с помощью FastAPI в Python. Теперь задача заключается в отправке изображения в формате Base64 через JSON для интерпретации. Однако я сталкиваюсь с проблемами, поскольку C# возвращает System.Net.WebException: «Удаленный сервер возвратил ошибку: (500) Внутренняя ошибка сервера».
Есть идеи?
Вот мои коды:

Python

Код: Выделить всё

import tensorflow as tf
from fastapi import FastAPI
import json
import base64
from PIL import Image
import io
#from flask import request
from fastapi import Request

app = FastAPI()

# Load the saved model
cnn = tf.keras.models.load_model('modelo_cnn.h5')

# Test functions to verify the connection
# @app.get('/prueba0/')
# def prueba0():
#     return "Hello, I'm connecting..."

# Test function to sum two numbers
@app.get('/prueba1/{a}/{b}')
def prueba1(a: int, b: int):
return a + b

# Test function to display a message
@app.get('/prueba2/{text}')
def prueba2(text: str):
return "Hello, your message was...  " + text

#########################################################################################

# Overlap identification function
@app.post('/traslape/')
def traslape(request: Request):
global cnn

# Get data from the request body
body = request.body()

# Decode JSON data
data = json.loads(body)

# # # Open the JSON file (image)
# with open(image) as f:
#      img = json.load(f)

# # Decode the image
# image = base64.b64decode(img["image"])

# # Open the image from bytes using Pillow
# image = Image.open(io.BytesIO(image))

# # Concatenate images horizontally
# #imagen_completa = tf.concat([imagen_i, imagen_d], axis=1)

# # Apply gamma correction to the image
# gamma = tf.convert_to_tensor(0.6)
# gamma_corrected = tf.pow(imagen / 255.0, gamma) * 255.0 # imagen_completa
# image_bw = tf.cast(gamma_corrected, tf.uint8)

# # Convert the image to grayscale
# grayscale_image = tf.image.rgb_to_grayscale(image_bw)

# # Define new dimensions
# new_height = 360
# new_width = 500

# # Resize the image
# imagen_completa_resize = tf.image.resize(grayscale_image, [new_height, new_width])

# # Perform classification using the loaded model
# result = cnn.predict(imagen_completa_resize)

# if result[0][0] > result[0][1]:
#     result = False # No mask
# else:
#     result = True # With mask

return True

c#

Код: Выделить всё

using System;
using System.IO;
using System.Net;
using System.Text;

namespace comunica_api
{
class Program
{
static void Main(string[] args)
{
// Path to the image in your local file system
string imagePath = @"C:\Users\VirtualImages[00]20240418_124751_028.jpg";

try
{
// Read the bytes of the image from the file
byte[] imageBytes = File.ReadAllBytes(imagePath);

// Convert the bytes to a Base64 formatted string
string base64String = Convert.ToBase64String(imageBytes);

// URL of the API
string url = "http://localhost:8000/traslape/";

// Data to send
string json = "{\"image\": \"" + base64String + "\"}";

// Create the HTTP request
var request = (HttpWebRequest)WebRequest.Create(url);
request.Method = "POST"; // Use the POST method
request.ContentType = "application/json"; // Set content type as JSON
request.ContentLength = json.Length;

// Convert JSON string to bytes
byte[] jsonBytes = Encoding.UTF8.GetBytes(json);

// Print the request content before sending it
Console.WriteLine("Request:");
Console.WriteLine("URL: " + url);
Console.WriteLine("Method: "  + request.Method);
Console.WriteLine("Headers:");
foreach (var header in request.Headers)
{
Console.WriteLine(header.ToString());
}
Console.WriteLine("Body:");
Console.WriteLine(json);

// Write bytes into the request body using StreamWriter
using (Stream requestStream = request.GetRequestStream())
using (StreamWriter writer = new StreamWriter(requestStream))
{
// Write JSON string into the request body
writer.Write(json);
}

// Send the request and get the response

// HERE IS THE ERROR
using (var response = (HttpWebResponse)request.GetResponse())
//

{
// Read the response from the server
using (var streamReader = new StreamReader(response.GetResponseStream()))
{
// Read the response as a string and display it in the console
string responseText = streamReader.ReadToEnd();
Console.WriteLine("API Response:");
Console.WriteLine(responseText);
}
}
}
catch (FileNotFoundException)
{
Console.WriteLine("The specified image could not be found.");
}
catch (WebException ex)
{
// Handle any communication error with the API
Console.WriteLine("API Communication Error:");
Console.WriteLine(ex.Message);
}

// Wait for the user to press Enter before exiting the program
Console.ReadLine();
}
}
}

Я закомментировал несколько строк, пытаясь добиться желаемого результата, но это не увенчалось успехом.
Спасибо за вашу поддержку...

С уважением

Подробнее здесь: https://stackoverflow.com/questions/783 ... in-c-sharp