hardcode depth "normalization"

src/main.rs

@@ -194,7 +194,7 @@ impl GraphicsState {
 				self.texture_data[(STRIDE_SIZE * y) as usize
 					..(STRIDE_SIZE * y + SIZE.x * size_of::<f32>() as u32) as usize]
 					.chunks_exact(4)
-					.map(|b| f32::from_le_bytes(b.try_into().unwrap())),
+					.map(|b| 1.0 - 2.0 * f32::from_le_bytes(b.try_into().unwrap())),
 			)
 		}
 
@@ -326,21 +326,6 @@ fn training() {
 		g.generate_inputs(pos, angles, &mut inputs);
 	}
 
-	// normalize inputs
-	let global_min = *inputs
-		.iter()
-		.min_by(|a, b| a.partial_cmp(b).unwrap())
-		.unwrap();
-	let global_max = *inputs
-		.iter()
-		.max_by(|a, b| a.partial_cmp(b).unwrap())
-		.unwrap();
-	let global_range = global_max - global_min;
-	println!("Normalizing to range {global_min} - {global_max}");
-	inputs.iter_mut().for_each(|value| {
-		*value = 1.0 - (*value - global_min) / global_range;
-	});
-
 	let device = burn::backend::cuda::CudaDevice::new(gpu_id);
 
 	let mut model: Net<TrainingBackend> = Net::init(&device);