24 lines
627 B
Python
24 lines
627 B
Python
|
import torch
|
||
|
|
|
||
|
|
from ..modules.midas.api import load_midas_transform
|
||
|
|
|
||
|
|
|
||
|
|
class AddMiDaS(object):
|
||
|
|
def __init__(self, model_type):
|
||
|
|
super().__init__()
|
||
|
|
self.transform = load_midas_transform(model_type)
|
||
|
|
|
||
|
|
def pt2np(self, x):
|
||
|
|
x = ((x + 1.0) * .5).detach().cpu().numpy()
|
||
|
|
return x
|
||
|
|
|
||
|
|
def np2pt(self, x):
|
||
|
|
x = torch.from_numpy(x) * 2 - 1.
|
||
|
|
return x
|
||
|
|
|
||
|
|
def __call__(self, sample):
|
||
|
|
# sample['jpg'] is tensor hwc in [-1, 1] at this point
|
||
|
|
x = self.pt2np(sample['jpg'])
|
||
|
|
x = self.transform({"image": x})["image"]
|
||
|
|
sample['midas_in'] = x
|
||
|
|
return sample
|