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| import torch |
| from . import Camera |
| import numpy as np |
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| def projection(x=0.1, n=1.0, f=50.0, near_plane=None): |
| if near_plane is None: |
| near_plane = n |
| return np.array( |
| [[n / x, 0, 0, 0], |
| [0, n / -x, 0, 0], |
| [0, 0, -(f + near_plane) / (f - near_plane), -(2 * f * near_plane) / (f - near_plane)], |
| [0, 0, -1, 0]]).astype(np.float32) |
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| class PerspectiveCamera(Camera): |
| def __init__(self, fovy=49.0, device='cuda'): |
| super(PerspectiveCamera, self).__init__() |
| self.device = device |
| focal = np.tan(fovy / 180.0 * np.pi * 0.5) |
| self.proj_mtx = torch.from_numpy(projection(x=focal, f=1000.0, n=1.0, near_plane=0.1)).to(self.device).unsqueeze(dim=0) |
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| def project(self, points_bxnx4): |
| out = torch.matmul( |
| points_bxnx4, |
| torch.transpose(self.proj_mtx, 1, 2)) |
| return out |
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