Esempio n. 1
0
        static void Main(string[] args)
        {
            Console.WriteLine("上传图片");
            var nvc = new NameValueCollection {
                { "deviceId", "2" }
            };
            var result = ImageClient.Upload(@"C:\Users\Administrator\Desktop\公共数据库系统建设\新建文件夹\slide_02.png", new NameValueCollection());

            Console.WriteLine(result);

            Console.WriteLine("写入数据库");
            var entity = new Images
            {
                ImageUrl = result.ImageUrl,
            };
            var providre = new ImageDataRepository();

            providre.Add(entity);

            Console.ReadLine();
        }
Esempio n. 2
0
        /// <summary>
        /// Photo bayan detector method which uses OpenCV. NB: it saves image data to the DB, which is passed to it, if the image is not bayan.
        /// </summary>
        /// <param name="image">Image to check.</param>
        /// <param name="messageData">Message data.</param>
        /// <returns>BayanResult object.</returns>
        public static BayanResult DetectPhotoBayan(Image image, MessageData messageData)
        {
            var detector        = new ImageFeatureDeteсtor();
            var repository      = new ImageDataRepository();
            var similarityLimit = Settings.Get <float>("similarity");

            var descriptors = detector.GetDescriptors(image);
            var imagesData  = repository.GetForChat(messageData.ChatId);

            var tasks = new List <Task <BayanResult> >(imagesData.Count);
            var cancellationTokenSource = new CancellationTokenSource();

            tasks.AddRange(imagesData.Select(imageData => Task.Factory.StartNew(() =>
            {
                var result = new BayanResult();

                var similarity = detector.GetSimilarity(descriptors, imageData.GetDescriptors());

                // Bayan detected
                if (similarity >= similarityLimit)
                {
                    result.IsBayan       = true;
                    result.Bayanity      = similarity;
                    result.OriginalImage = imageData;
                }

                return(result);
            }, cancellationTokenSource.Token)));

            var totalResult = new BayanResult();

            while (tasks.Count > 0)
            {
                var i = Task.WaitAny(tasks.ToArray());

                var taskResult = tasks[i].Result;

                if (taskResult.IsBayan)
                {
                    // Cancell all tasks
                    cancellationTokenSource.Cancel();
                    totalResult = taskResult;

                    return(totalResult);
                }

                tasks.RemoveAt(i);
            }

            // If is not bayan, save the image data
            var newImageData = new ImageData(descriptors)
            {
                ChatId        = messageData.ChatId,
                UserId        = messageData.UserId,
                DateTimeAdded = messageData.DateTimeAdded,
                MessageId     = messageData.MessageId,
                UserFullName  = messageData.UserFullName,
                UserName      = messageData.UserName
            };

            repository.Insert(newImageData);

            return(totalResult);
        }
 private ImageDataService()
 {
     repo = new ImageDataRepository();
 }