def __init__(self, name, trainingPath, testingPath, resultPath, histogramTypes, description="", numberRuns=1, maxk=10, trainingPerc=-1): self.name = name self.description = description self.runs = [] self.numberRuns = numberRuns self.root = getPath(resultPath, name + "_" + self.getCurrentDateTime() ) self.maxk = maxk self.histogramTypes = histogramTypes self.log = Log() self.trainingPerc = trainingPerc if self.trainingPerc != -1: self.testingPerc = 1 - self.trainingPerc self.datasets = {} if trainingPath == testingPath: for ht in self.histogramTypes: if isinstance(ht, int): dataset = DataSet() dataset.load(ht, trainingPath) self.datasets[ht] = dataset else: for ht in self.histogramTypes: if isinstance(ht, int): dataset = DataSetSeparate() dataset.load(ht, trainingPath, testingPath) self.datasets[ht] = dataset
aux = "" cont = 1 for label in results: aux = aux + "\n" + str(cont) + "." + str(label) cont+=1 return aux def getNPFromFile(f): return np.asarray(bytearray(f.read()), dtype=np.uint8) #if __name__ == '__main__': print("Preparing Leaf Search Engine...") disks = generateDiskKernelsMasks(25) #used for naive circumferences = generateDiskCircumferenceKernelsMasks(25) dataset = DataSet() dataset.load(C.HIST_HCoS, "/Users/maeotaku/Documents/DatasetsNon1/CostaRica/OnlyCamera/") finder = FindK(dataset, C.KNN_DEFAULT, disks, circumferences) print("Done.") @route('/', method='POST') def do_upload(): try: aux = "" files = request.files for name in files: fileUpload = files[name] if fileUpload: file = fileUpload.file img = cv2.imdecode(getNPFromFile(file), cv2.CV_LOAD_IMAGE_UNCHANGED) # This is dangerous for big files #img = loadImage("/Users/maeotaku/Documents/Issues/Solved/WrongResize_IMG_6632.JPG")
cont = 1 for label in results: aux = aux + "\n" + str(cont) + "." + str(label) cont += 1 return aux def getNPFromFile(f): return np.asarray(bytearray(f.read()), dtype=np.uint8) #if __name__ == '__main__': print("Preparing Leaf Search Engine...") disks = generateDiskKernelsMasks(25) #used for naive circumferences = generateDiskCircumferenceKernelsMasks(25) dataset = DataSet() dataset.load(C.HIST_HCoS, "/Users/maeotaku/Documents/DatasetsNon1/CostaRica/OnlyCamera/") finder = FindK(dataset, C.KNN_DEFAULT, disks, circumferences) print("Done.") @route('/', method='POST') def do_upload(): try: aux = "" files = request.files for name in files: fileUpload = files[name] if fileUpload: file = fileUpload.file
def loadDataset(self, ht, trainingPath): dataset = DataSet() dataset.load(ht, trainingPath) return dataset