fix: Fix lint.

requirements/install.txt

@@ -7,7 +7,7 @@ h5py
 jsonargparse[signatures]
 lightning
 ml_collections==0.1.1 # Config interface. Need exact version since we overwrite internal functions
-numpy>=1.21.0
+numpy>=1.21.0,<2.0.0
 opencv-python
 pandas
 pillow

requirements/viewer.txt

@@ -1 +1,2 @@
 open3d
+matplotlib>3.9

vis4d/data/datasets/util.py

@@ -54,8 +54,9 @@ def im_decode(
         "L",
     }, f"{mode} not supported for image decoding!"
     if backend == "PIL":
-        pil_img = Image.open(BytesIO(bytearray(im_bytes)))
-        pil_img = ImageOps.exif_transpose(pil_img)  # type: ignore
+        pil_img_file = Image.open(BytesIO(bytearray(im_bytes)))
+        pil_img = ImageOps.exif_transpose(pil_img_file)
+        assert pil_img is not None, "Image could not be loaded!"
         if pil_img.mode == "L":  # pragma: no cover
             if mode == "L":
                 img: NDArrayUI8 = np.array(pil_img)[..., None]

vis4d/vis/image/canvas/pillow_backend.py

@@ -45,11 +45,14 @@ def create_canvas(
         Raises:
             ValueError: If the canvas is not initialized.
         """
-        if image is None and image_hw is None:
-            raise ValueError("Image or Image Shapes required to create canvas")
         if image_hw is not None:
             white_image = np.ones([*image_hw, 3]) * 255
             image = white_image.astype(np.uint8)
+        else:
+            assert (
+                image is not None
+            ), "Image or Image Shapes required to create canvas"
+
         self._image = Image.fromarray(image)
         self._image_draw = ImageDraw.Draw(self._image)