(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask,
image_name, uid,
K=None, use_K=False,
trans=np.array([0.0, 0.0, 0.0]), scale=1.0, data_device = "cuda"
)
| 16 | |
| 17 | class Camera(nn.Module): |
| 18 | def __init__(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask, |
| 19 | image_name, uid, |
| 20 | K=None, use_K=False, |
| 21 | trans=np.array([0.0, 0.0, 0.0]), scale=1.0, data_device = "cuda" |
| 22 | ): |
| 23 | super(Camera, self).__init__() |
| 24 | |
| 25 | self.uid = uid |
| 26 | self.colmap_id = colmap_id |
| 27 | self.R = R |
| 28 | self.T = T |
| 29 | self.FoVx = FoVx |
| 30 | self.FoVy = FoVy |
| 31 | self.K = K |
| 32 | self.use_K = use_K |
| 33 | self.image_name = image_name |
| 34 | |
| 35 | try: |
| 36 | self.data_device = torch.device(data_device) |
| 37 | except Exception as e: |
| 38 | print(e) |
| 39 | print(f"[Warning] Custom device {data_device} failed, fallback to default cuda device" ) |
| 40 | self.data_device = torch.device("cuda") |
| 41 | |
| 42 | self.original_image = image.clamp(0.0, 1.0).to(self.data_device) |
| 43 | self.image_width = self.original_image.shape[2] |
| 44 | self.image_height = self.original_image.shape[1] |
| 45 | |
| 46 | if gt_alpha_mask is not None: |
| 47 | self.original_image *= gt_alpha_mask.to(self.data_device) |
| 48 | else: |
| 49 | self.original_image *= torch.ones((1, self.image_height, self.image_width), device=self.data_device) |
| 50 | |
| 51 | self.zfar = 100.0 |
| 52 | self.znear = 0.01 |
| 53 | |
| 54 | self.trans = trans |
| 55 | self.scale = scale |
| 56 | |
| 57 | self.world_view_transform = torch.tensor(getWorld2View2(R, T, trans, scale)).transpose(0, 1).cuda() |
| 58 | if not self.use_K: |
| 59 | self.projection_matrix = getProjectionMatrix(znear=self.znear, zfar=self.zfar, fovX=self.FoVx, fovY=self.FoVy).transpose(0,1).cuda() |
| 60 | else: |
| 61 | self.projection_matrix = getProjectionMatrix2(self.znear, self.zfar, self.K, self.image_width, self.image_height).transpose(0,1).cuda() |
| 62 | |
| 63 | self.full_proj_transform = (self.world_view_transform.unsqueeze(0).bmm(self.projection_matrix.unsqueeze(0))).squeeze(0) |
| 64 | self.camera_center = self.world_view_transform.inverse()[3, :3] |
| 65 | |
| 66 | class MiniCam: |
| 67 | def __init__(self, width, height, fovy, fovx, znear, zfar, world_view_transform, full_proj_transform): |
nothing calls this directly
no test coverage detected