private async void AnalyzeImage(string path)
{
//time watcher
var watch = System.Diagnostics.Stopwatch.StartNew();
AzureVisionAnalyze analyze = VisionClassFactory.CreateVisionClass(VisionAPIType.AzureVisionAnalyze) as AzureVisionAnalyze;
analyze.Key = "43ff244f1b5047d49d82aac0b482d939";
Task <AnalysisResult> resTask = analyze.UploadAndAnalyzeImage(path, AzureTagFeature.Tags, AzureTagFeature.Description, AzureTagFeature.Categories, AzureTagFeature.Color);
AnalysisResult res = await resTask;
//watch end
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
//write result
this.richTextBox1.Text = $"is animal:{res.IsAnimal()}\n";
this.richTextBox1.Text += $"run with {path}\n";
this.richTextBox1.Text += $"used {elapsedMs} ms\n";
this.richTextBox1.Text += VisCommonClass.JsonPrettyPrint(JsonConvert.SerializeObject(res));
MessageBox.Show($"cost {elapsedMs}ms");
}
public async Task <IAnalyzeResult> UploadAndAnalyzeImage(byte[] imageBytes, params System.Enum[] features)
{
HttpClient client = new HttpClient();
//getToken
string token = BaiduAccessToken.getAccessToken(Key, SecretKey).access_token;
string uri = API + "?" + $"access_token={token}";
//getBase64
string base64String = Convert.ToBase64String(imageBytes);
string jsonContent = this.threshold == null ? $"{{\"image\":\"{base64String}\"}}" : $"{{\"threshold\":\"{this.threshold}\",\"image\":\"{base64String}\"}}";
byte[] buffer = Encoding.Default.GetBytes(jsonContent);
HttpWebRequest request = (HttpWebRequest)WebRequest.Create(uri);
request.Method = "post";
request.KeepAlive = true;
request.ContentLength = buffer.Length;
request.GetRequestStream().Write(buffer, 0, buffer.Length);
HttpWebResponse response = (HttpWebResponse)request.GetResponse();
StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
string contentString = reader.ReadToEnd();
//HttpResponseMessage response;
//using (HttpContent content = new StringContent(jsonContent))
//{
// // Make the REST API call.
// response = await client.PostAsync(uri, content);
//}
//string contentString = await response.Content.ReadAsStringAsync();
if (response.StatusCode != HttpStatusCode.OK)
{
throw new Exception(contentString);
}
// Get the JSON response.
// Display the JSON response.
Console.WriteLine("\nResponse:\n");
Console.WriteLine(VisCommonClass.JsonPrettyPrint(contentString));
return(JsonConvert.DeserializeObject <BaiduAnalyzeResult>(contentString));
}
private async void BaiduAnalyzeImage(string path)
{
var watch = System.Diagnostics.Stopwatch.StartNew();
BaiduVisionAnalyze ana = new BaiduVisionAnalyze();
ana.Key = "vKHUR4T6BMeO3yTVwW3nR1NN";
ana.SKey = "u8A17o87RD7Q35lU8qQKjxrDs1bguBrD";
Task <BaiduAnalyzeResult> resTask = ana.UploadAndAnalyzeImage(path);
BaiduAnalyzeResult res = await resTask;
//watch end
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
//write result
this.richTextBox1.Text = $"is animal:{res.IsAnimal()}\n";
this.richTextBox1.Text += $"run with {imageListView1.SelectedItems[0].FileName}\n";
this.richTextBox1.Text += $"used {elapsedMs} ms\n";
this.richTextBox1.Text += VisCommonClass.JsonPrettyPrint(JsonConvert.SerializeObject(res));
MessageBox.Show($"cost {elapsedMs}ms");
}
public async Task <IAnalyzeResult> UploadAndAnalyzeImage(string imageFilePath, params System.Enum[] features)
{
//getBase64
byte[] imageBytes = VisCommonClass.GetImageAsByteArray(imageFilePath, maxSize: (int)(3.2 * 1024));
return(await UploadAndAnalyzeImage(imageBytes));
}
public async Task <IAnalyzeResult> UploadAndAnalyzeImage(Bitmap image, params System.Enum[] features)
{
//getBase64
byte[] imageBytes = VisCommonClass.GetImageAsByteArray(image);
return(await UploadAndAnalyzeImage(imageBytes));
}
