The traffic recognition api classifies an image into one of 365 scenes
To use this API, you need to set VISION-SCENE=True when starting DeepStack
sudo docker run -e VISION-SCENE=True -v localstorage:/datastore \ -p 80:5000 deepquestai/deepstack
If using the GPU Version, run
sudo docker run --rm --runtime=nvidia -e VISION-SCENE=True -v localstorage:/datastore \ -p 80:5000 deepquestai/deepstack:gpu
Note also that you can have multiple endpoints activated, for example, both traffic and scene recognition are activated below
sudo docker run -e VISION-SCENE=True -e VISION-TRAFFIC=True -v localstorage:/datastore \ -p 80:5000 deepquestai/deepstack
Example
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
namespace app
{
class App {
static HttpClient client = new HttpClient();
public static async Task makeRequest(){
var request = new MultipartFormDataContent();
var image_data = File.OpenRead("test-image5.jpg");
request.Add(new StreamContent(image_data),"image",Path.GetFileName("test-image5.jpg"));
var output = await client.PostAsync("http://localhost:80/v1/vision/scene",request);
var jsonString = await output.Content.ReadAsStringAsync();
Console.WriteLine(jsonString);
}
static void Main(string[] args){
makeRequest().Wait();
}
}
}
Result
{'success': True, 'confidence': 73.73981, 'label': 'conference_room'}