Update app.py

app.py

@@ -1,37 +1,7 @@
-import os
-from PIL import Image
 import streamlit as st
-import ast
 import numpy as np
-import pandas as pd
+from PIL import Image
 from cellpose import models, io, plot
-from pathlib import Path
-
-
-def rle_decode(mask_rle, shape=(520, 704)):
-    """
-    mask_rle: run-length as string formated (start length)
-    shape: (height,width) of array to return
-    Returns numpy array, 1 - mask, 0 - background
-
-    """
-    s = mask_rle.split()
-    starts, lengths = [np.asarray(x, dtype=int) for x in (s[0:][::2], s[1:][::2])]
-    starts -= 1
-    ends = starts + lengths
-    img = np.zeros(shape[0] * shape[1], dtype=np.uint8)
-    for lo, hi in zip(starts, ends):
-        img[lo:hi] = 1
-    return img.reshape(shape)
-
-
-def rle_encode(img):
-    pixels = img.flatten()
-    pixels = np.concatenate([[0], pixels, [0]])
-    runs = np.where(pixels[1:] != pixels[:-1])[0] + 1
-    runs[1::2] -= runs[::2]
-    return " ".join(str(x) for x in runs)
-
 
 def inference(image, model_path, **model_params):
     img = image