fm.load_file(file_path=folder_path + file)
im = fm.get_image_data()
im.show(title=file)
# ---------------- Save Dicom Files into a folder as images ----------------
dfm = DicomFileManager()
folder_path = 'covid19_repo/data/x_rays/covid_data/'
save_path = 'covid19_repo/'
img_extension = '.jpg'
fm = DicomFileManager()
for file in os.listdir(folder_path):
if file.endswith('.dcm'):
fm.load_file(file_path=folder_path + file)
fm.save_pixels_as_image(save_path=save_path +
file.replace('.dcm', img_extension))
# ----------------------------------- BinaryClassifierComparator -----------------------------------
if test_classifier_comparator:
pos_data_path = 'test data set/test_positive_covid'
neg_data_path = 'test data set/test_negative_covid'
models_folder = 'COVID19 Best Detection Models/'
fm = FileManager()
print('Getting all training data...')
data_path = 'test data set'
shape = (256, 256)
shuffle = False
