This script should take a file from an input folder, put it through a pretrained model, and put the results in the output folder. I get no errors. import os import numpy as np import imageio.v2 as imageio from cellpose import models model_path = r"C:\Users\TomoCube\Desktop\New Testing\trained_model\models\cellpose_residual_on_style_on_concatenation_off_trained_model_2025_05_29_14_15_22.066364" input_folder = r"C:\Users\TomoCube\Desktop\Input Folder" output_folder = r"C:\Users\TomoCube\Desktop\Output Folder" os.makedirs(output_folder, exist_ok=True) # TEST: Write a dummy file to confirm save path works dummy_test_path = os.path.join(output_folder, "dummy_test.tif") imageio.imwrite(dummy_test_path, np.zeros((10, 10), dtype='uint16')) print(f"✅ Dummy test file saved: {dummy_test_path}") model = models.CellposeModel(pretrained_model=model_path, gpu=False) image_files = [ f for f in os.listdir(input_folder) if f.lower().endswith(('.png', '.jpg', '.tif')) and '_masks' not in f ] image_files.sort() for filename in image_files: image_path = os.path.join(input_folder, filename) print(f"\n Processing: {filename}") img = imageio.imread(image_path) print(f" ➤ Image shape: {img.shape}, dtype: {img.dtype}") masks, flows, styles = model.eval(img, channels=[0, 0]) print(f" ➤ masks.max(): {masks.max()}, dtype: {masks.dtype}, shape: {masks.shape}") output_filename = f"{os.path.splitext(filename)[0]}_mask.tif" output_path = os.path.join(output_folder, output_filename) try: imageio.imwrite(output_path, masks.astype('uint16')) print(f" ✅ Mask saved: {output_path}") except Exception as e: print(f" ❌ Failed to save mask for {filename}: {e}") print("\n✅ All done! Masks saved to:", output_folder) I tried updating all possible issues but I was getting nothing. Continue reading...