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import gradio as gr | |
from monai.utils import first, set_determinism | |
from monai.transforms import( | |
Compose, | |
AddChanneld, | |
LoadImaged, | |
Resized, | |
ToTensord, | |
Spacingd, | |
Orientationd, | |
ScaleIntensityRanged, | |
CropForegroundd, | |
Activations, | |
) | |
from monai.networks.nets import UNet | |
from monai.networks.layers import Norm | |
from monai.data import CacheDataset, DataLoader, Dataset | |
import torch | |
import matplotlib.pyplot as plt | |
import os | |
from glob import glob | |
import numpy as np | |
from monai.inferers import sliding_window_inference | |
in_dir = 'Data_Train_Test' | |
model_dir = '' | |
train_loss = np.load(os.path.join(model_dir, 'loss_train.npy')) | |
train_metric = np.load(os.path.join(model_dir, 'metric_train.npy')) | |
test_loss = np.load(os.path.join(model_dir, 'loss_test.npy')) | |
test_metric = np.load(os.path.join(model_dir, 'metric_test.npy')) | |
def segment(image): | |
pass # Implement your image segmentation model here... | |
gr.Interface(fn=segment, inputs="image", outputs="image").launch() | |