Tesla Wrap AI 如何用標記網格診斷 Tesla 車身包膜的 UV 定位
Debugging Tesla Paint Shop UV placement with a labeled grid
標記 UV 網格可協助檢查 Tesla 車身包膜預覽中的圖案位置與方向,找出車門接縫、面板邊界及文字旋轉等問題。文章提供本機生成網格的方法,並建議按確切車型和版本檢視多個角度;瀏覽器測試只驗證 PNG 檔案的基本屬性,不能證明車輛相容性或可匯入車輛。
A wrap PNG can decode correctly and still place a logo across a door seam or turn lettering sideways. File validation cannot tell you which part of a flat image lands on the hood.
A labeled UV grid is a simple diagnostic for that second problem. Replace the artwork temporarily with colored squares, coordinates and arrows. Look at the model preview, then adjust the actual artwork using what you observed.
Disclosure: I build Tesla Wrap AI. This article was prepared with AI assistance. The standalone canvas example below was tested in a browser; I have not validated this diagnostic on a physical vehicle. Gallery browsing, browser editing and PNG export on the product are free; optional AI generation uses credits.
What the grid answers
Use a unique label for each cell, rather than an identical checkerboard. A uniform checkerboard shows distortion but makes it harder to tell which source region you are seeing.
The labels answer three different questions:
- Cell identifier: which source region is visible on a panel?
- Arrow direction: how is that region oriented in the preview?
- Cell boundary: where does the surface cross into an adjacent source region?
Coordinates here use the canvas convention: the origin is at the top left, x increases to the right, and y increases downward. An arrow pointing up in the PNG does not promise that it will point toward the front of a particular vehicle. Discovering that relationship is the point of the diagnostic.
Generate a grid with no dependencies
Create an HTML file with a canvas, a download button and a script. Everything is drawn locally; there is no upload or remote image dependency.
<canvas id="grid" aria-label="Labeled UV diagnostic grid"></canvas>
<button id="download">Download UV Grid.png</button>
<script src="grid.js"></script>
Put this in grid.js:
const canvas = document.querySelector('#grid');
const ctx = canvas.getContext('2d');
const size = 1024;
const cells = 4;
const step = size / cells;
canvas.width = canvas.height = size;
for (let row = 0; row < cells; row++) {
for (let col = 0; col < cells; col++) {
const x = col * step;
const y = row * step;
const id = row * cells + col;
ctx.fillStyle = `hsl(${id * 360 / 16} 65% 38%)`;
ctx.fillRect(x, y, step, step);
ctx.strokeStyle = '#fff';
ctx.lineWidth = 3;
ctx.strokeRect(x + 2, y + 2, step - 4, step - 4);
ctx.fillStyle = '#fff';
ctx.font = 'bold 40px monospace';
ctx.fillText(`${String.fromCharCode(65 + row)}${col + 1}`, x + 18, y + 60);
ctx.font = '20px monospace';
ctx.fillText(`x=${x} y=${y}`, x + 18, y + 94);
// A drawn arrow avoids depending on a special arrow font.
ctx.beginPath();
ctx.moveTo(x + 128, y + 220);
ctx.lineTo(x + 128, y + 132);
ctx.moveTo(x + 105, y + 155);
ctx.lineTo(x + 128, y + 132);
ctx.lineTo(x + 151, y + 155);
ctx.lineWidth = 8;
ctx.stroke();
}
}
document.querySelector('#download').addEventListener('click', () => {
canvas.toBlob(blob => {
if (!blob) return;
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.download = 'UV Grid.png';
document.body.append(link);
link.click();
link.remove();
setTimeout(() => URL.revokeObjectURL(url), 10000);
}, 'image/png');
});
Use it with the exact vehicle layout
Start from Tesla's official custom-wrap repository, which separates vehicle generations and variants. Do not infer compatibility just because two images share dimensions.
- Select the exact model and variant in the preview workflow you are testing.
- Keep the intended artwork as a separate working file. Use the grid temporarily as the preview texture; if your workflow needs a panel mask, apply the matching template mask to a copy of the grid.
- Inspect both sides of the vehicle and several camera angles. Record which labels appear on the hood, doors and smaller panels. A screen-left panel is not necessarily the vehicle's left side.
- Note rotated arrows, reversed labels and discontinuities. These are observations about this model and preview setup, not a universal panel map.
- Restore the artwork, adjust it against the correct template, and inspect again. Hide diagnostic and template guides before the final export.
If the editor you are using does not support texture replacement or the exact model, use another suitable preview workflow. Do not assume that a preview on a nearby variant is equivalent.
For a working visual reference, the Tesla digital-wrap gallery is a starting point: choose a model-specific design, inspect its flat image and available preview, and compare the placement. My product is one implementation of the workflow, not the source of Tesla's file requirements.
What I checked, and what this does not prove
In the browser test, the example exported a 1024 × 1024 PNG named UV Grid.png, measuring 103,761 bytes. I checked its PNG signature, IHDR dimensions, chunk checksums and compressed image-data decompression. The exact byte count can vary by browser or rendering environment.
Those checks establish basic properties of that generated file. They do not establish a particular vehicle's UV compatibility, verify a 3D model's mapping, or prove that the file will import into a vehicle. This is an opaque diagnostic grid, not a finished design or an official template. Masking, transparency and the final artwork need their own review.
Check the current requirements in Tesla's repository before final export. A preview screenshot is also a different asset from the texture PNG: downloading the screenshot does not give you the underlying UV texture.
Keep the diagnostic separate from the artwork
I would keep the grid out of the final texture by storing it as a separate development asset, alongside a small record of the model and variant used for each observation. That makes a later preview-model change easier to investigate without overwriting someone's design.
The same technique applies to other UV-based editors. A clear coordinate reference helps separate “the image file is valid” from “the image is mapped where the designer intended.”
來源:DEV Community · dev.to
