import os import cv2 import numpy as np def load_images_from_folder(folder_path, img_size=(200, 200)): images = [] for filename in sorted(os.listdir(folder_path)): if filename.endswith('.tif'): img_path = os.path.join(folder_path, filename) img = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) if img is not None: img = cv2.resize(img, img_size) img = img.astype('float32') / np.max(img) # Normalize images.append(img) else: print(f"Warning: {img_path} could not be read.") print(f"Total images loaded from {folder_path}: {len(images)}") return np.array(images) def create_sequences(data, sequence_length): num_sequences = data.shape[0] - sequence_length + 1 return np.array([data[i:i + sequence_length] for i in range(num_sequences)]) def create_shifted_frames(data): x = data[:, :-1, :, :, :] # Frames 0 to n-1 y = data[:, 1:, :, :, :] # Frames 1 to n return x, y