From 2f18e323cdbe487ae91cbca02799575c55222007 Mon Sep 17 00:00:00 2001 From: hturki Date: Mon, 17 Apr 2023 16:08:31 -0400 Subject: [PATCH] return unscaled input in positional encoding (#1736) * return unscaled input in positional encoding * Update encodings.py --- nerfstudio/field_components/encodings.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nerfstudio/field_components/encodings.py b/nerfstudio/field_components/encodings.py index 462080287..ac7cf2aa1 100644 --- a/nerfstudio/field_components/encodings.py +++ b/nerfstudio/field_components/encodings.py @@ -141,9 +141,9 @@ class NeRFEncoding(Encoding): Returns: Output values will be between -1 and 1 """ - in_tensor = 2 * torch.pi * in_tensor # scale to [0, 2pi] + scaled_in_tensor = 2 * torch.pi * in_tensor # scale to [0, 2pi] freqs = 2 ** torch.linspace(self.min_freq, self.max_freq, self.num_frequencies).to(in_tensor.device) - scaled_inputs = in_tensor[..., None] * freqs # [..., "input_dim", "num_scales"] + scaled_inputs = scaled_in_tensor[..., None] * freqs # [..., "input_dim", "num_scales"] scaled_inputs = scaled_inputs.view(*scaled_inputs.shape[:-2], -1) # [..., "input_dim" * "num_scales"] if covs is None: @@ -201,8 +201,8 @@ class RFFEncoding(Encoding): Returns: Output values will be between -1 and 1 """ - in_tensor = 2 * torch.pi * in_tensor # scale to [0, 2pi] - scaled_inputs = in_tensor @ self.b_matrix # [..., "num_frequencies"] + scaled_in_tensor = 2 * torch.pi * in_tensor # scale to [0, 2pi] + scaled_inputs = scaled_in_tensor @ self.b_matrix # [..., "num_frequencies"] if covs is None: encoded_inputs = torch.sin(torch.cat([scaled_inputs, scaled_inputs + torch.pi / 2.0], dim=-1))