Improved hubconf.py CI tests (#2251)

models/common.py

@@ -254,7 +254,7 @@ class Detections:
                     n = (pred[:, -1] == c).sum()  # detections per class
                     str += f"{n} {self.names[int(c)]}{'s' * (n > 1)}, "  # add to string
                 if show or save or render:
-                    img = Image.fromarray(img) if isinstance(img, np.ndarray) else img  # from np
+                    img = Image.fromarray(img.astype(np.uint8)) if isinstance(img, np.ndarray) else img  # from np
                     for *box, conf, cls in pred:  # xyxy, confidence, class
                         # str += '%s %.2f, ' % (names[int(cls)], conf)  # label
                         ImageDraw.Draw(img).rectangle(box, width=4, outline=colors[int(cls) % 10])  # plot