copy graphical data

src/main.rs

@@ -104,9 +104,6 @@ fn training() {
 		.unwrap();
 	let timelines =
 		strafesnet_roblox_bot_file::v0::read_all_to_block(std::io::Cursor::new(bot_file)).unwrap();
-	let bot = strafesnet_roblox_bot_player::bot::CompleteBot::new(timelines).unwrap();
-	let world_offset = bot.world_offset();
-	let timelines = bot.timelines();
 
 	// setup graphics
 	let desc = wgpu::InstanceDescriptor::new_without_display_handle_from_env();
@@ -255,9 +252,6 @@ fn training() {
 		fn a(a: v0::Vector3) -> [f32; 2] {
 			[a.y, a.x]
 		}
-		fn add<T: core::ops::Add>(lhs: T, rhs: T) -> T::Output {
-			lhs + rhs
-		}
 
 		let mut encoder = device.create_command_encoder(&wgpu::CommandEncoderDescriptor {
 			label: Some("wgpu encoder"),
@@ -267,7 +261,7 @@ fn training() {
 		graphics.encode_commands(
 			&mut encoder,
 			&graphics_texture_view,
-			add(world_offset, p(output_event.event.position).into()),
+			p(output_event.event.position).into(),
 			a(output_event.event.angles).into(),
 		);
 
@@ -285,7 +279,7 @@ fn training() {
 					offset: 0,
 					// This needs to be a multiple of 256.
 					bytes_per_row: Some(stride_size as u32),
-					rows_per_image: None,
+					rows_per_image: Some(size.y),
 				},
 			},
 			wgpu::Extent3d {
@@ -328,7 +322,7 @@ fn training() {
 			&inputs[i * INPUT..(i + 1) * INPUT]
 				.iter()
 				.copied()
-				.map(|f| f as u8)
+				.map(|f| (f * 255.0) as u8)
 				.collect::<Vec<u8>>(),
 			(SIZE_X, SIZE_Y),
 			format!("depth_images/{i}.png").into(),