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Add dataManager

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s495728 2024-05-02 23:29:00 +02:00
parent 9866d50c23
commit 2f2e961ba3
2 changed files with 57 additions and 0 deletions
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.gitignore vendored Normal file
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data
archive.zip

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DataManager.py Normal file
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import glob
import shutil
import cv2
from zipfile import ZipFile
import os
import wget
mainPath="data/"
pathToTrainAndValidDate = mainPath + "%s/**/*.*"
pathToTestDataset = mainPath + "/test"
originalDatasetName = "original dataset"
class DataManager:
def downloadData(self):
if not os.path.isfile("archive.zip"):
wget.download("https://storage.googleapis.com/kaggle-data-sets/78313/182633/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20240502%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20240502T181500Z&X-Goog-Expires=259200&X-Goog-SignedHeaders=host&X-Goog-Signature=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")
def unzipData(self, fileName, pathToExtract):
if not os.path.exists(mainPath):
os.makedirs("data")
ZipFile(fileName).extractall(mainPath + pathToExtract)
shutil.move("data/original dataset/test/test", "data", copy_function = shutil.copytree)
shutil.move("data/original dataset/New Plant Diseases Dataset(Augmented)/New Plant Diseases Dataset(Augmented)/train", "data/original dataset/train", copy_function = shutil.copytree)
shutil.move("data/original dataset/New Plant Diseases Dataset(Augmented)/New Plant Diseases Dataset(Augmented)/valid", "data/original dataset/valid", copy_function = shutil.copytree)
shutil.rmtree("data/original dataset/New Plant Diseases Dataset(Augmented)")
shutil.rmtree("data/Detection-of-plant-diseases/data/original dataset/test")
def writeImageToGivenPath(self, image, path):
os.makedirs(path.rsplit('/', 1)[0], exist_ok=True)
cv2.imwrite(path, image)
def resizeDataset(self, soruceDatasetName, width, height):
if not os.path.exists(mainPath + "resized dataset"):
for file in glob.glob(pathToTrainAndValidDate % soruceDatasetName, recursive=True):
pathToFile = file.replace("\\","/")
image = cv2.imread(pathToFile)
image = cv2.resize(image, (width, height))
newPath = pathToFile.replace(soruceDatasetName,"resized dataset")
self.writeImageToGivenPath(image,newPath)
def sobelx(self, soruceDatasetName):
if not os.path.exists(mainPath + "sobel dataset"):
for file in glob.glob(pathToTrainAndValidDate % soruceDatasetName, recursive=True):
pathToFile = file.replace("\\","/")
image = cv2.imread(pathToFile)
sobel = cv2.Sobel(image,cv2.CV_64F,1,0,ksize=5)
newPath = pathToFile.replace(soruceDatasetName,"sobel dataset")
self.writeImageToGivenPath(sobel,newPath)
dataManager = DataManager()
dataManager.downloadData()
dataManager.unzipData("archive.zip","original dataset")
dataManager.resizeDataset("original dataset", 64, 64)
dataManager.sobelx("resized dataset")