pint inputs

Cargo.lock

@@ -5451,6 +5451,7 @@ name = "strafe-ai"
 version = "0.1.0"
 dependencies = [
  "burn",
+ "png",
  "pollster",
  "strafesnet_common",
  "strafesnet_graphics",

Cargo.toml

@@ -14,3 +14,4 @@ strafesnet_roblox_bot_file = { version = "0.9.4", registry = "strafesnet" }
 strafesnet_roblox_bot_player = { version = "=0.6.2-depth", registry = "strafesnet" }
 strafesnet_snf = { version = "0.4.0", registry = "strafesnet" }
 pollster = "0.4.0"
+png = "0.18.1"

src/main.rs

@@ -11,6 +11,21 @@ const LIMITS: wgpu::Limits = wgpu::Limits::defaults();
 use strafesnet_graphics::setup;
 use strafesnet_roblox_bot_file::v0;
 
+pub fn output_image_native(image_data: &[u8], texture_dims: (usize, usize), path: String) {
+	use std::io::Write;
+
+	let mut png_data = Vec::<u8>::with_capacity(image_data.len());
+	let mut encoder =
+		png::Encoder::new(&mut png_data, texture_dims.0 as u32, texture_dims.1 as u32);
+	encoder.set_color(png::ColorType::Grayscale);
+	let mut png_writer = encoder.write_header().unwrap();
+	png_writer.write_image_data(image_data).unwrap();
+	png_writer.finish().unwrap();
+
+	let mut file = std::fs::File::create(&path).unwrap();
+	file.write_all(&png_data).unwrap();
+}
+
 const SIZE_X: usize = 64;
 const SIZE_Y: usize = 36;
 const INPUT: usize = SIZE_X * SIZE_Y;
@@ -89,6 +104,9 @@ 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();
@@ -164,7 +182,7 @@ fn training() {
 	let mut last_mx = first.event.mouse_pos.x;
 	let mut last_my = first.event.mouse_pos.y;
 
-	for input_event in it {
+	for (i, input_event) in it.enumerate() {
 		let mouse_dx = input_event.event.mouse_pos.x - last_mx;
 		let mouse_dy = input_event.event.mouse_pos.y - last_my;
 		last_mx = input_event.event.mouse_pos.x;
@@ -235,6 +253,9 @@ fn training() {
 		fn a(a: v0::Vector3) -> [f32; 2] {
 			[a.y, a.x]
 		}
+		fn sub<T: core::ops::Sub>(lhs: T, rhs: T) -> T::Output {
+			lhs - rhs
+		}
 
 		let mut encoder = device.create_command_encoder(&wgpu::CommandEncoderDescriptor {
 			label: Some("wgpu encoder"),
@@ -244,7 +265,7 @@ fn training() {
 		graphics.encode_commands(
 			&mut encoder,
 			&graphics_texture_view,
-			p(output_event.event.position).into(),
+			sub(p(output_event.event.position).into(), world_offset),
 			a(output_event.event.angles).into(),
 		);
 
@@ -288,6 +309,7 @@ fn training() {
 		}
 		output_staging_buffer.unmap();
 
+		let inputs_start = inputs.len();
 		// discombolulate stride
 		for y in 0..size.y {
 			inputs.extend(
@@ -297,6 +319,19 @@ fn training() {
 					.map(|b| f32::from_le_bytes(b.try_into().unwrap())),
 			)
 		}
+		let inputs_end = inputs.len();
+		println!("inputs = {:?}", &inputs[inputs_start..inputs_end]);
+
+		// write a png
+		output_image_native(
+			&inputs[i * INPUT..(i + 1) * INPUT]
+				.iter()
+				.copied()
+				.map(|f| (f * 255.0) as u8)
+				.collect::<Vec<u8>>(),
+			(SIZE_X, SIZE_Y),
+			format!("depth_images/{i}.png").into(),
+		);
 
 		texture_data.clear();
 	}