Fix numpy to torch cls streaming bug (#9112)

* Fix numpy to torch cls streaming bug

Resolves https://github.com/ultralytics/yolov5/issues/9111

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

classify/predict.py

@@ -30,6 +30,7 @@ import platform
 import sys
 from pathlib import Path
 
+import torch
 import torch.backends.cudnn as cudnn
 import torch.nn.functional as F
 
@@ -101,7 +102,7 @@ def run(
     seen, windows, dt = 0, [], (Profile(), Profile(), Profile())
     for path, im, im0s, vid_cap, s in dataset:
         with dt[0]:
-            im = im.to(device)
+            im = torch.Tensor(im).to(device)
             im = im.half() if model.fp16 else im.float()  # uint8 to fp16/32
             if len(im.shape) == 3:
                 im = im[None]  # expand for batch dim