Update/inplace ops (#5233)

* Clip Objects365 autodownload labels (#5214)

Fixes out of bounds labels that seem to affect ~10% of images in dataset.

* Inplace ops

detect.py

@@ -139,7 +139,7 @@ def run(weights=ROOT / 'yolov5s.pt',  # model.pt path(s)
         else:
             img = torch.from_numpy(img).to(device)
             img = img.half() if half else img.float()  # uint8 to fp16/32
-        img = img / 255.0  # 0 - 255 to 0.0 - 1.0
+        img /= 255.0  # 0 - 255 to 0.0 - 1.0
         if len(img.shape) == 3:
             img = img[None]  # expand for batch dim
         t2 = time_sync()