public static AlchemyResult recongnizeWithImg(byte[] img)
{
WebClient clients = new WebClient();
var queryString = HttpUtility.ParseQueryString(String.Empty);
clients.Headers.Add("Content-Type", "application/x-www-form-urlencode");
queryString["apikey"] = "<API_KEY>";
queryString["imagePostMode"] = "raw";
queryString["outputMode"] = "json";
queryString["forceShowAll"] = "0";
queryString["knowledgeGraph"] = "0";
WebClient client = new WebClient();
client.Proxy = null;
var uri = new Uri("http://access.alchemyapi.com/calls/image/ImageGetRankedImageKeywords?" + queryString);
var response = client.UploadData(uri, img);
string json = System.Text.Encoding.UTF8.GetString(response);
json = json.Replace("person", "people");
DataContractJsonSerializer contract = new DataContractJsonSerializer(typeof(AlchemyResult));
MemoryStream mstream = new MemoryStream(System.Text.Encoding.UTF8.GetBytes(json));
AlchemyResult res = (AlchemyResult)contract.ReadObject(mstream);
return(res);
}
public static AlchemyResult recongnizeWithURL(string url)
{
var queryString = HttpUtility.ParseQueryString(String.Empty);
queryString["url"] = (new Uri(url)).ToString();
queryString["apikey"] = "<API_KEY>";
queryString["outputMode"] = "json";
queryString["forceShowAll"] = "0";
queryString["knowledgeGraph"] = "0";
WebClient client = new WebClient();
client.Proxy = null;
var response = client.DownloadString(new Uri("http://access.alchemyapi.com/calls/url/URLGetRankedImageKeywords?" + queryString));
response = response.Replace("person", "people");
DataContractJsonSerializer contract = new DataContractJsonSerializer(typeof(AlchemyResult));
MemoryStream mstream = new MemoryStream(System.Text.Encoding.UTF8.GetBytes(response));
AlchemyResult res = (AlchemyResult)contract.ReadObject(mstream);
return(res);
}
void showResult(DetectedResult result, AlchemyResult alchemy)
{
new Thread(() =>
{
new SoundPlayer(Path.GetDirectoryName(Application.ExecutablePath) + "\\done.wav").PlaySync();
}).Start();
this.Invoke(new Action(() =>
{
richTextBox1.Text = "State: Done.\n\n";
richTextBox1.Clear();
var res = result.face.OrderBy((o) => o.position.center.x).ToArray();
syn.SetOutputToDefaultAudioDevice();
bool hasFaces = false;
//TODO:Check If The API Detected Any Categories In This Photo.
if (alchemy.imageKeywords != null)
{
if (alchemy.imageKeywords.Count() > 0)
{
richTextBox1.Text += "Image Category is: ";
int count = 0;
foreach (var item in alchemy.imageKeywords)
{
if (count == alchemy.imageKeywords.Count - 1)
{
richTextBox1.Text += item.text.Replace('_', ' ') + ".\n";
}
else
{
richTextBox1.Text += item.text.Replace('_', ' ') + ", ";
}
count++;
}
}
}
//Check If Face++ Returned Any Faces
if (result.face != null)
{
if (result.face.Count() > 0)
{
hasFaces = true;
}
}
if (hasFaces)
{
richTextBox1.Text += res.Count() + " Faces Detected.\n";
if (res.Count() > 0)
{
if (res.Count() > 1)
{
richTextBox1.Text += "Starting from the Left.\n";
}
int count = 0;
foreach (var item in res)
{
string[] heshe = new string[2];
if (item.attribute.gender.value.ToLower() == "female")
{
heshe[0] = "she";
heshe[1] = "her";
}
else
{
heshe[0] = "he";
heshe[1] = "his";
}
richTextBox1.Text += "Face Number " + (++count) + ": Age " + item.attribute.age.value + ", the Gender is " + item.attribute.gender.value + ", " + heshe[1] + " Race is " + item.attribute.race.value + ", And " + heshe[0] + " Looks " + faceState(Math.Round(item.attribute.smiling.value, 1)) + " (" + Math.Round(item.attribute.smiling.value, 0) + "% Smiling)." + "\n";
}
}
}
else
{
richTextBox1.Text += "No Faces Detected.\n";
button1.Enabled = true;
// button2.Enabled = true;
}
}));
}
