jadechoghari commited on
Commit
4dbdea8
1 Parent(s): 351d27a

Update processor.py

Browse files
Files changed (1) hide show
  1. processor.py +0 -7
processor.py CHANGED
@@ -19,9 +19,7 @@ import kiui
19
 
20
  class LRMImageProcessor(BaseImageProcessorFast):
21
  def __init__(self, source_size=512, *args, **kwargs):
22
- print("add super")
23
  super().__init__(*args, **kwargs)
24
- print("Add source")
25
  self.source_size = source_size
26
  self.session = None
27
  self.rembg_remove = None
@@ -54,7 +52,6 @@ class LRMImageProcessor(BaseImageProcessorFast):
54
  return fx, fy, cx, cy
55
 
56
  def build_camera_principle(self, RT: torch.Tensor, intrinsics: torch.Tensor):
57
- print("build_camera_principle")
58
  fx, fy, cx, cy = self.get_normalized_camera_intrinsics(intrinsics)
59
  return torch.cat([
60
  RT.reshape(-1, 12),
@@ -65,7 +62,6 @@ class LRMImageProcessor(BaseImageProcessorFast):
65
  ], dim=-1)
66
 
67
  def _default_intrinsics(self):
68
- print("_default_intrinsics")
69
  fx = fy = 384
70
  cx = cy = 256
71
  w = h = 512
@@ -77,7 +73,6 @@ class LRMImageProcessor(BaseImageProcessorFast):
77
  return intrinsics
78
 
79
  def _default_source_camera(self, batch_size: int = 1):
80
- print("_default_source_camera")
81
  dist_to_center = 1.5
82
  canonical_camera_extrinsics = torch.tensor([[
83
  [0, 0, 1, 1],
@@ -89,8 +84,6 @@ class LRMImageProcessor(BaseImageProcessorFast):
89
  return source_camera.repeat(batch_size, 1)
90
 
91
  def __call__(self, image, *args, **kwargs):
92
- print("processing...")
93
  processed_image = self.preprocess_image(image)
94
- print("processed done")
95
  source_camera = self._default_source_camera(batch_size=1)
96
  return processed_image, source_camera
 
19
 
20
  class LRMImageProcessor(BaseImageProcessorFast):
21
  def __init__(self, source_size=512, *args, **kwargs):
 
22
  super().__init__(*args, **kwargs)
 
23
  self.source_size = source_size
24
  self.session = None
25
  self.rembg_remove = None
 
52
  return fx, fy, cx, cy
53
 
54
  def build_camera_principle(self, RT: torch.Tensor, intrinsics: torch.Tensor):
 
55
  fx, fy, cx, cy = self.get_normalized_camera_intrinsics(intrinsics)
56
  return torch.cat([
57
  RT.reshape(-1, 12),
 
62
  ], dim=-1)
63
 
64
  def _default_intrinsics(self):
 
65
  fx = fy = 384
66
  cx = cy = 256
67
  w = h = 512
 
73
  return intrinsics
74
 
75
  def _default_source_camera(self, batch_size: int = 1):
 
76
  dist_to_center = 1.5
77
  canonical_camera_extrinsics = torch.tensor([[
78
  [0, 0, 1, 1],
 
84
  return source_camera.repeat(batch_size, 1)
85
 
86
  def __call__(self, image, *args, **kwargs):
 
87
  processed_image = self.preprocess_image(image)
 
88
  source_camera = self._default_source_camera(batch_size=1)
89
  return processed_image, source_camera