Пример #1
0
        //private void readFile()
        //{
        //    string sourceDirectory = filePath;
        //    //@"C:\Projects\leafsnap-dataset\leafsnap-dataset~\dataset\images\field";
        //    IEnumerable<String> Files = Directory.EnumerateFiles(sourceDirectory, "*.jpg", SearchOption.AllDirectories);
        //    List<String> eachLeafImageFolder = Directory.GetDirectories(sourceDirectory).Take(10).ToList();
        //    int count = 0;
        //    int totalCount = eachLeafImageFolder.Count;
        //    foreach (String leafImage in eachLeafImageFolder)
        //    {
        //        count++;
        //        ImageCategory category = new ImageCategory();
        //        String plantCategoryName = new DirectoryInfo(leafImage).Name;
        //        List<String> eachLeafSpecies = Directory.GetFiles(leafImage, "*.*", SearchOption.AllDirectories).ToList();
        //        category.leafCategory = plantCategoryName;
        //        category.listOfImages = eachLeafSpecies;
        //        computeNumberOfTrainingDataSet(category);
        //        Console.WriteLine("{0} category of {1} containing {2} leaves", count, totalCount, eachLeafSpecies.Count);
        //    }
        //}

        private void computeNumberOfTrainingDataSet(ImageCategory LeafType)
        {
            List <String> trainingDataSet  = new List <String>();
            List <String> queryDataSet     = new List <String>();
            List <String> eachLeafSpecises = LeafType.listOfImages;
            int           totalImages      = eachLeafSpecises.Count;
            double        trainingRatio    = 0.8;
            int           training         = (int)Math.Ceiling(trainingRatio * totalImages);

            //Training model
            for (int i = 0; i < training; i++)
            {
                trainingDataSet.Add(eachLeafSpecises[i]);
            }
            //Ratio of query model.
            for (int j = training; j < eachLeafSpecises.Count; j++)
            {
                queryDataSet.Add(eachLeafSpecises[j]);
            }

            ImageCategory newImageTrainingSet = new ImageCategory();

            newImageTrainingSet.listOfImages = trainingDataSet;
            newImageTrainingSet.leafCategory = LeafType.leafCategory;
            trainingModel.Add(newImageTrainingSet);

            ImageCategory newImageQueryDataSet = new ImageCategory();

            newImageQueryDataSet.listOfImages = queryDataSet;
            newImageQueryDataSet.leafCategory = LeafType.leafCategory;
            queryModel.Add(newImageQueryDataSet);
        }
        private void readFile()
        {
            string        sourceDirectory     = @"C:\Users\Funapp\Desktop\Capstone Project\leaf_dataset\leafsnap-dataset\subdataset";
            var           Files               = Directory.EnumerateFiles(sourceDirectory, "*.jpg", SearchOption.AllDirectories);
            List <String> eachLeafImageFolder = Directory.GetDirectories(sourceDirectory).ToList();

            foreach (String leafImage in eachLeafImageFolder)
            {
                ImageCategory category          = new ImageCategory();
                String        plantCategoryName = new DirectoryInfo(leafImage).Name;
                List <String> eachLeafSpecies   = Directory.GetFiles(leafImage, "*.*", SearchOption.AllDirectories).ToList();
                category.leafCategory = plantCategoryName;
                category.listOfImages = eachLeafSpecies;
                computeNumberOfTrainingDataSet(category);
            }
        }
Пример #3
0
        void ITrainModel.ReadFileSystem()
        {
            List <String> eachLeafImageFolder = this.eachLeafImageFolder;
            string        sourceDirectory     = this.filePath;
            int           count      = 0;
            int           totalCount = eachLeafImageFolder.Count;

            foreach (String leafImage in eachLeafImageFolder)
            {
                count++;
                ImageCategory category          = new ImageCategory();
                String        plantCategoryName = new DirectoryInfo(leafImage).Name;
                List <String> eachLeafSpecies   = Directory.GetFiles(leafImage, "*.*", SearchOption.AllDirectories).ToList();
                category.leafCategory = plantCategoryName;
                category.listOfImages = eachLeafSpecies;
                computeNumberOfTrainingDataSet(category);
                Console.WriteLine("{0} category of {1} containing {2} leaves", count, totalCount, eachLeafSpecies.Count);
            }
        }
Пример #4
0
        void ITrainModel.ReadFileSystem()
        {
            List <String> eachLeafImageFolder = this.eachLeafImageFolder;
            string        sourceDirectory     = this.filePath;
            //@"C:\Projects\leafsnap-dataset\leafsnap-dataset~\dataset\images\field";
            //IEnumerable<String> Files = Directory.EnumerateFiles(sourceDirectory, "*.jpg", SearchOption.AllDirectories);
            //List<String> eachLeafImageFolder = Directory.GetDirectories(sourceDirectory).ToList().GetRange(0,12);
            int count      = 0;
            int totalCount = eachLeafImageFolder.Count;

            foreach (String leafImage in eachLeafImageFolder)
            {
                count++;
                ImageCategory category          = new ImageCategory();
                String        plantCategoryName = new DirectoryInfo(leafImage).Name;
                List <String> eachLeafSpecies   = Directory.GetFiles(leafImage, "*.*", SearchOption.AllDirectories).ToList();
                category.leafCategory = plantCategoryName;
                category.listOfImages = eachLeafSpecies;
                computeNumberOfTrainingDataSet(category);
                Console.WriteLine("{0} category of {1} containing {2} leaves", count, totalCount, eachLeafSpecies.Count);
            }
        }