Updated filename attributes for YOLOv5 Hub BytesIO (ultralytics#2718)

Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' ultralytics#2702

models/common.py

@@ -258,7 +258,7 @@ def forward(self, imgs, size=640, augment=False, profile=False):
             if isinstance(im, str):  # filename or uri
                 im, f = np.asarray(Image.open(requests.get(im, stream=True).raw if im.startswith('http') else im)), im
             elif isinstance(im, Image.Image):  # PIL Image
-                im, f = np.asarray(im), getattr(im, 'filename', f)
+                im, f = np.asarray(im), getattr(im, 'filename', f) or f
             files.append(Path(f).with_suffix('.jpg').name)
             if im.shape[0] < 5:  # image in CHW
                 im = im.transpose((1, 2, 0))  # reverse dataloader .transpose(2, 0, 1)