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
def loadDataset(self, ht, trainingPath):
dataset = DataSet()
dataset.load(ht, trainingPath)
return dataset
