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4 changes: 4 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
venv
__pycache__
.Ds_Store
train
19 changes: 19 additions & 0 deletions requirements.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
contourpy==1.3.1
cycler==0.12.1
fonttools==4.55.3
imageio==2.36.1
kiwisolver==1.4.7
lazy_loader==0.4
matplotlib==3.10.0
networkx==3.4.2
numpy==2.2.0
opencv-python==4.10.0.84
packaging==24.2
pillow==11.0.0
pyparsing==3.2.0
python-dateutil==2.9.0.post0
scikit-image==0.25.0
scipy==1.14.1
six==1.17.0
tifffile==2024.12.12
tqdm==4.67.1
8 changes: 3 additions & 5 deletions train.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,8 @@
from skimage.transform import resize
import network
import os

import cv2
import glob
# Helper Functions
def get_corrupted_input(input, corruption_level):
corrupted = np.copy(input)
Expand All @@ -34,7 +35,7 @@ def plot(data, test, predicted, figsize=(5, 6)):
count=0
file_count=0
for d in split(data, 4):
if not len(d)is 1:
if len(d) != 1:
fig, axarr = plt.subplots(len(d), 3)
for i in range(len(d)):
if i==0:
Expand Down Expand Up @@ -87,9 +88,6 @@ def preprocessing(img, w=128, h=128):

def main():
# Load data

import cv2
import glob
img_dir = "train/" # Enter Directory of all images
data_path = os.path.join(img_dir,'*g')
files = glob.glob(data_path)
Expand Down