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visualize.py
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visualize.py
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import torch
import os
import sys
import cv2
import shutil
import matplotlib.pyplot as plt
from torch.cuda import init
from Code.utils.initialize import initfolder
from Code.utils.data_loader import transformation
def parseArguments():
parser = argparse.ArgumentParser()
parser.add_argument("--entry_path", type=str, default= PATH,
help="File path to the folder containing the data")
parser.add_argument("--model_path", type = str, default = SAVED_MODEL_PATH,
help = "Folder path containing the model (pth)")
parser.add_argument("--store_path", type = str, default = VIS_PATH,
help = "Set the root path to store the brain segmentations")
args = parser.parse_args()
initfolder(args.entry_path), initfolder(args.store_path)
return args
def restore_model(path):
model = att_autoencoder().to(device)
model.load_state_dict(torch.load(path))
model.eval()
return model
def visualize(model, entry_path, store_path):
f = cv2.imread(entry_path)
f = transformation(f)
segmented = model(f)
plt.plot(segmented)
plt.show()
cv2.imwrite(store_path, segmented)
shutil.rmtree(store_path)
def main(args = sys.argv[1:]):
args = parseArguments()
model = restore_model(args.model_path)
visualize(model, args.entry_path, args.store)
if __name__ == '__main__':
main()