I resolve that problem but I stuck with another problem.
img = Image.open("/content/drive/MyDrive/58125_000893_Sideline_frame298.jpg").convert('RGB')
convert_tensor = torchvision.transforms.ToTensor()

img=convert_tensor(img)
width=800
height=500
top=100
left=100
boxs=[left,top,width,height]
boxs=torch.tensor([boxs],dtype=torch.uint8)
a=torch.tensor(img,dtype=torch.uint8)

a=torchvision.utils.draw_bounding_boxes(image=a,boxes=boxs,width=5)
a=a.permute(2,1,0)
a=torch.tensor(a,dtype=torch.float64)

plt.imshow(a)
plt.show()

This is my code. But i get blacked image.

I have a bounding box values in left,top,height,and width. So can you tell me correct sequence to draw bounding box? and the actual image is in landscape mode. But I got portrait image. Bounding box does not occur when I use transform.rotate.