Update app.py

app.py

@@ -59,17 +59,17 @@ image_output = gr.outputs.Image(type="pil", label="Output Image")
 def gen_pred(img=inputs, model=seg_model):
     # rgb_path = os.path.join(test_image_dir,img)
     # img = cv2.imread(rgb_path)
-    # img = cv2.imread("./003e2c95d.jpg")
-    pil_image = Image.open('./003b50a15.jpg')
-    img = cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR)
+    img = cv2.imread("./003e2c95d.jpg")
+    # pil_image = Image.open('./003b50a15.jpg')
+    # img = cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR)
     img = img[::IMG_SCALING[0], ::IMG_SCALING[1]]
     img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
     img = img/255
     img = tf.expand_dims(img, axis=0)
     pred = model.predict(img)
     pred = np.squeeze(pred, axis=0)
-    color_coverted = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
-    pil_image = Image.fromarray(color_coverted)
+    # color_coverted = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
+    # pil_image = Image.fromarray(color_coverted)
     return "pil_image"