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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>
pull/9117/head
Glenn Jocher 2022-08-23 23:54:05 +02:00 committed by GitHub
parent 51c9f92297
commit e6f54c5b32
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1 changed files with 2 additions and 1 deletions
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classify/predict.py
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@ -30,6 +30,7 @@ import platform
import sys import sys
from pathlib import Path from pathlib import Path
import torch
import torch.backends.cudnn as cudnn import torch.backends.cudnn as cudnn
import torch.nn.functional as F import torch.nn.functional as F
@ -101,7 +102,7 @@ def run(
seen, windows, dt = 0, [], (Profile(), Profile(), Profile()) seen, windows, dt = 0, [], (Profile(), Profile(), Profile())
for path, im, im0s, vid_cap, s in dataset: for path, im, im0s, vid_cap, s in dataset:
with dt[0]: 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 im = im.half() if model.fp16 else im.float() # uint8 to fp16/32
if len(im.shape) == 3: if len(im.shape) == 3:
im = im[None] # expand for batch dim im = im[None] # expand for batch dim