(znear, zfar, fovX, fovY)
| 50 | return np.float32(Rt) |
| 51 | |
| 52 | def getProjectionMatrix(znear, zfar, fovX, fovY): |
| 53 | tanHalfFovY = math.tan((fovY / 2)) |
| 54 | tanHalfFovX = math.tan((fovX / 2)) |
| 55 | |
| 56 | top = tanHalfFovY * znear |
| 57 | bottom = -top |
| 58 | right = tanHalfFovX * znear |
| 59 | left = -right |
| 60 | |
| 61 | P = torch.zeros(4, 4) |
| 62 | |
| 63 | z_sign = 1.0 |
| 64 | |
| 65 | P[0, 0] = 2.0 * znear / (right - left) |
| 66 | P[1, 1] = 2.0 * znear / (top - bottom) |
| 67 | P[0, 2] = (right + left) / (right - left) |
| 68 | P[1, 2] = (top + bottom) / (top - bottom) |
| 69 | P[3, 2] = z_sign |
| 70 | P[2, 2] = z_sign * zfar / (zfar - znear) |
| 71 | P[2, 3] = -(zfar * znear) / (zfar - znear) |
| 72 | return P |
| 73 | |
| 74 | def getOrthProjectionMatrix(znear, zfar, fovX, fovY): |
| 75 | # Calculate the width and height of the orthographic view volume |
nothing calls this directly
no outgoing calls
no test coverage detected