Update app.py

app.py

@@ -64,19 +64,19 @@ def gen_pred(img, model=seg_model):
     img = img/255
     img = tf.expand_dims(img, axis=0)
     pred = model.predict(img)
-    pred = np.squeeze(pred, axis=0)
+    # pred = np.squeeze(pred, axis=0)
     # image = Image.fromarray(np.uint8(cm.plasma(pred)*255))
     # pil_img = Image.fromarray(pred, 'RGB')
 
     # importing Image from PIL
-    img_tmp = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
-    im_PIL = Image.fromarray(img_tmp)
+    # img_tmp = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
+    # im_PIL = Image.fromarray(img_tmp)
     # im = Image.fromarray((pred * 255).astype(np.uint8))
     # img_bytes = pred.tobytes()
     # nparr = np.frombuffer(img_bytes, np.byte)
     # pred_pil = cv2.imdecode(nparr, cv2.IMREAD_REDUCED_COLOR_8)
     # return "UI in developing process ..."
-    return im_PIL
+    return pred
 
 title = "<h1 style='text-align: center;'>Semantic Segmentation</h1>"
 description = "Upload an image and get prediction mask"