Trajectron-plus-plus/trajpred/web/index.html
2023-10-11 13:58:09 +02:00

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HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Trajectory Prediction Browser Test</title>
<style>
body {
background: black;
}
#field {
background: white;
width: 100%;
height: 100%;
}
</style>
</head>
<body>
<canvas id="field" width="1500" height="1500">
</canvas>
<script>
// map the field to coordinates of our dummy tracker
const field_range = { x: [-10, 10], y: [-10, 10] }
// Create WebSocket connection.
const trajectory_socket = new WebSocket(`ws://${window.location.hostname}:{{ ws_port }}/ws/trajectory`);
const prediction_socket = new WebSocket(`ws://${window.location.hostname}:{{ ws_port }}/ws/prediction`);
let is_moving = false;
const fieldEl = document.getElementById('field');
let current_data = {}
// Listen for messages
prediction_socket.addEventListener("message", (event) => {
// console.log("Message from server ", event.data);
current_data = JSON.parse(event.data);
});
function getMousePos(canvas, evt) {
const rect = canvas.getBoundingClientRect();
return {
x: evt.clientX - rect.left,
y: evt.clientY - rect.top
};
}
function mouse_coordinates_to_position(coordinates) {
const x_range = field_range.x[1] - field_range.x[0]
const x = (coordinates.x / fieldEl.clientWidth) * x_range + field_range.x[0]
const y_range = field_range.y[1] - field_range.y[0]
const y = (coordinates.y / fieldEl.clientWidth) * y_range + field_range.y[0]
return { x: x, y: y }
}
function position_to_canvas_coordinate(position) {
const x_range = field_range.x[1] - field_range.x[0]
const y_range = field_range.y[1] - field_range.y[0]
return {
x: (position.x - field_range.x[0]) * fieldEl.width / x_range,
y: (position.y - field_range.y[0]) * fieldEl.width / y_range,
}
}
// helper function so we can spread
function coord_as_list(coord) {
return [coord.x, coord.y]
}
let tracker = {}
let person_counter = 0
class Person {
constructor(id) {
this.id = id;
this.history = [];
this.prediction = []
}
addToHistory(position) {
this.history.push(position);
}
}
fieldEl.addEventListener('mousedown', (event) => {
person_counter++;
tracker[person_counter] = new Person(person_counter);
is_moving = true;
const mousePos = getMousePos(fieldEl, event);
const position = mouse_coordinates_to_position(mousePos)
tracker[person_counter].addToHistory(position);
trajectory_socket.send(JSON.stringify(tracker))
});
fieldEl.addEventListener('mousemove', (event) => {
if (!is_moving) return;
const mousePos = getMousePos(fieldEl, event);
const position = mouse_coordinates_to_position(mousePos)
tracker[person_counter].addToHistory(position);
trajectory_socket.send(JSON.stringify(tracker))
});
document.addEventListener('mouseup', (e) => {
is_moving = false;
tracker = {}
})
const ctx = fieldEl.getContext("2d");
function drawFrame() {
ctx.clearRect(0, 0, fieldEl.width, fieldEl.height);
ctx.save();
for (let id in current_data) {
const person = current_data[id];
if (person.history.length > 1) {
const hist = structuredClone(person.history)
// draw current position:
ctx.beginPath()
ctx.arc(
...coord_as_list(position_to_canvas_coordinate(hist[hist.length - 1])),
5, //radius
0, 2 * Math.PI);
ctx.fill()
ctx.beginPath()
ctx.lineWidth = 3;
ctx.strokeStyle = "#325FA2";
ctx.moveTo(...coord_as_list(position_to_canvas_coordinate(hist.shift())));
for (const position of hist) {
ctx.lineTo(...coord_as_list(position_to_canvas_coordinate(position)))
}
ctx.stroke();
}
}
ctx.restore();
window.requestAnimationFrame(drawFrame);
}
window.requestAnimationFrame(drawFrame);
</script>
</body>
</html>