Delete make_predictions

make_predictions

@@ -1,20 +0,0 @@
-import torch
-import numpy as np
-import cv2
-
-def make_predictions(model, input_img, threshold = 0.05):
-    model.eval()
-    with torch.no_grad():
-        image = input_img
-        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-        image = image.astype("float32") / 255.0
-        image = cv2.resize(image, (height, width))
-        image = np.transpose(image, (2, 0, 1))
-        image = np.expand_dims(image, 0)
-        image = torch.from_numpy(image).to(device)
-        predMask = model(image).squeeze()
-        predMask = torch.sigmoid(predMask)
-        predMask = predMask.cpu().numpy()
-        predMask = (predMask > threshold) * 255
-        predMask = predMask.astype(np.uint8)
-        return predMask