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