Opracowywanie aplikacji klienckiej wykrywania obiektów
Po wytrenowanym modelu wykrywania obiektów można użyć zestawu SDK usługi Custom Vision platformy Azure do opracowania aplikacji klienckiej, która przesyła nowe obrazy do przeanalizowania.
from msrest.authentication import ApiKeyCredentials
from azure.cognitiveservices.vision.customvision.prediction import CustomVisionPredictionClient
# Authenticate a client for the prediction API
credentials = ApiKeyCredentials(in_headers={"Prediction-key": "<YOUR_PREDICTION_RESOURCE_KEY>"})
prediction_client = CustomVisionPredictionClient(endpoint="<YOUR_PREDICTION_RESOURCE_ENDPOINT>",
credentials=credentials)
# Get classification predictions for an image
image_data = open("<PATH_TO_IMAGE_FILE>", "rb").read()
results = prediction_client.detect_image("<YOUR_PROJECT_ID>",
"<YOUR_PUBLISHED_MODEL_NAME>",
image_data)
# Process predictions
for prediction in results.predictions:
if prediction.probability > 0.5:
left = prediction.bounding_box.left
top = prediction.bounding_box.top
height = prediction.bounding_box.height
width = prediction.bounding_box.width
print(f"{prediction.tag_name} ({prediction.probability})")
print(f" Left:{left}, Top:{top}, Height:{height}, Width:{width}")
using System;
using System.IO;
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction;
// Authenticate a client for the prediction API
CustomVisionPredictionClient prediction_client = new CustomVisionPredictionClient(new ApiKeyServiceClientCredentials("<YOUR_PREDICTION_RESOURCE_KEY>"))
{
Endpoint = "<YOUR_PREDICTION_RESOURCE_ENDPOINT>"
};
// Get classification predictions for an image
MemoryStream image_data = new MemoryStream(File.ReadAllBytes("<PATH_TO_IMAGE_FILE>"));
var result = prediction_client.DetectImage("<YOUR_PROJECT_ID>",
"<YOUR_PUBLISHED_MODEL_NAME>",
image_data);
// Process predictions
foreach (var prediction in result.Predictions)
{
if (prediction.Probability > 0.5)
{
var left = prediction.BoundingBox.Left;
var top = prediction.BoundingBox.Top;
var height = prediction.BoundingBox.Height;
var width = prediction.BoundingBox.Width;
Console.WriteLine($"{prediction.TagName} ({prediction.Probability})");
Console.WriteLine($" Left:{left}, Top:{top}, Height:{height}, Width:{width}");
}
}