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Fixup
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@ -315,9 +315,10 @@ class Cameras:
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dim=-1,
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)
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elif self.camera_type[0] == CameraType.EQUIRECTANGULAR.value:
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# u and v go from -1/2 to 1/2
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# u goes from -1 to 1
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# v goes from -1/2 to 1/2 (height is half of width)
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theta = -torch.pi * coord_stack[..., 0]
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phi = torch.pi * (0.5 - coord_stack[..., 1])
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theta = -2 * torch.pi * coord_stack[..., 0]
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# use spherical in local camera coordinates (+y up, x=0 and z<0 is theta=0)
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directions_stack = torch.stack(
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[-torch.sin(theta) * torch.sin(phi), torch.cos(phi), -torch.cos(theta) * torch.sin(phi)],
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@ -605,7 +605,7 @@ def opensfm_to_json(reconstruction_path: Path, output_dir: Path, camera_model: C
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# For now just assume it's all the same camera
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cam = cams[list(cams.keys())[0]]
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out = {
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"fl_x": float(cam["focal_x"]) if "focal_x" in cam else float(cam["width"]),
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"fl_x": float(cam["focal_x"]) if "focal_x" in cam else float(cam["height"]),
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"fl_y": float(cam["focal_y"]) if "focal_y" in cam else float(cam["height"]),
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"cx": float(cam["c_x"]) if "c_x" in cam else 0.5 * cam["width"],
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"cy": float(cam["c_y"]) if "c_y" in cam else 0.5 * cam["height"],
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@ -714,8 +714,8 @@ class ProcessImages:
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summary_log = []
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# Copy images to output directory
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# NOTE(kchen): is this OK with COLMAP?
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num_frames = copy_images(self.data, image_dir=image_dir, verbose=self.verbose, rename=False)
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rename_images = self.sfm_method != "OpenSfM" # OpenSfM does not rename images
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num_frames = copy_images(self.data, image_dir=image_dir, verbose=self.verbose, rename=rename_images)
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summary_log.append(f"Starting with {num_frames} images")
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# Downscale images
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