VGGT-1B
Integrēt
vggt-1b
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/vggt-1b?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/vggt-1b?wait=20", {
method: "POST",
headers,
body: JSON.stringify({}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/vggt-1b", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/lv/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "vggt-1b",
"input": {}
}
Izsauciet VGGT-1B modeli (vggt-1b), izmantojot Doitong API. Dokumentācija aģentiem: https://doitong.com/lv/developers/models/vggt-1b.md
POST https://api.doitong.ru/v1/run/vggt-1b?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{}
Ja atbildes statuss ir "queued" vai "running", periodiski izsauciet GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20, līdz tas kļūst par "succeeded"; faili atrodas outputs[].url. POST https://api.doitong.ru/v1/quote/vggt-1b ar to pašu pamattekstu atgriež precīzu cenu pirms izpildes.
Līdz 1,755 $ par palaišanu maksa tiek aprēķināta pēc faktiskā lietojuma, pārējā summa tiek atmaksāta Izpildīt šajā lapā
Jūsu jaunā API atslēga. Tā tiek parādīta tikai tagad un jau ir ievietota kodā un tālāk esošajā API atslēgas laukā. Glabājiet to noslēpumā: nekad neievietojiet to kodā, kas darbojas pārlūkprogrammā.
Šeit būs jūsu pirmais rezultāts
Izveidojiet pieprasījumu tālāk un izpildiet to ar savu API atslēgu. Izvades tiek kopētas mūsu krātuvē un glabātas mūžīgi vai 7 dienas bez maksas.
Izveidot pieprasījumu
Vadīklas tiek ģenerētas no modeļa shēmas. Kods un cena tiek atjaunināti, kad tos maināt.
/run/vggt-1b?wait=20
cena → 1,755 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/vggt-1b?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/vggt-1b?wait=20", {
method: "POST",
headers,
body: JSON.stringify({}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/vggt-1b", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "vggt-1b",
"input": {},
"wait_seconds": 20
}
}
}
Palaist šo pieprasījumu
Jūsu atslēga paliek šajā pārlūkprogrammā: tā tiek nosūtīta tikai uz Doitong API un saglabāta (localStorage) tikai tad, ja atzīmējat Atcerēties. Iegūt API atslēgu
Par VGGT-1B
Novērtē ģeometriju no vairākiem skatiem. Norādiet līdz 48 attēliem laukā `image_urls`, pēc izvēles pievienojot `video_url`, kas tiks atlasīts ik pēc `frame_sampling_rate` kadriem. Tas atgriež katra kadra dziļuma kartes, kameras ārējos un iekšējos parametrus, neapstrādātus prognožu failus un GLB punktu mākoni ar kameras konusiem. `confidence_percentile` un `max_points` kontrolē punktu mākoņa blīvumu.
Parametri
Nosūti vai nu kanonisko nosaukumu, vai vietējo nosaukumu, bet ne abus. Kan啤niskie nosaukumi
image_urlsneobligāts
images
video_urlneobligāts
video
frame_sampling_rateneobligāts
alpha_blend_ontoneobligāts
export_prediction_dataneobligāts
export_depth_mapsneobligāts
export_point_cloudneobligāts
array_encodingneobligāts
exclude_keysneobligāts
confidence_percentileneobligāts
max_pointsneobligāts
enable_safety_checkerneobligāts
Failu parametriem nepieciešams publisks https:// URL, data: URI līdz 10 MB vai augšupielādes file_url. Faili
Izvade
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "vggt-1b",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 1755,
"usd": "1.755",
"charged": 1755,
"refunded": 0
},
"input": {},
"output": {
"point_cloud": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"depth_maps": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
}
],
"prediction_data": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
],
"num_frames": 1,
"depth_range": [
1.0
],
"extrinsics": [
[
[
1.0
]
]
],
"intrinsics": [
[
[
1.0
]
]
],
"timings": {}
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Izvades lauki
- point_cloud
- object {url, content_type, file_name, file_size} | nullPunktu mākoņa izvade, kas tiek atgriezta, ja `export_point_cloud` ir true; tās GLB ainā sapludināts mākonis apvienots ar kameru konusiem.
- depth_maps
- array of object {url, content_type, file_name, file_size, width, height}Dziļuma kartes izvade, kas pieejama, ja `export_depth_maps` ir true. Ieraksti seko avota kadru secībai, katru kadru attēlojot kā 16 bitu pelēktoņu PNG rastru.
- prediction_data
- array of object {url, content_type, file_name, file_size}Neapstrādāto prognožu izvade: ja `export_prediction_data` ir true, katram kadram ir savs JSON fails, un faili seko kadru secībai.
- num_frames
- integerKopējais rekonstruēto kadru skaits, ieskaitot attēlus un no video atlasītos kadrus.
- depth_range
- array of numberDziļuma robežas [min, max], ko izmanto `depth_maps` kvantēšanai. Dziļumu atjauno, izmantojot min + pixel * (max - min) / 65535.
- extrinsics
- array of array of array of numberKameras no pasaules ārējās matricas, 3x4 lielumā, katram kadram; OpenCV asis vērstas pa labi gar x, uz leju gar y un uz priekšu gar z.
- intrinsics
- array of array of array of numberCauruma kameras iekšējās matricas, 3x3 lielumā, katram kadram, izteiktas modeļa 518x518 kadra pikseļu koordinātēs.
- timings
- objectPagājušais reāllaika ilgums katram posmam sekundēs.
Vairāk modeļu: Datorredze
AI aģentiem: šī lapa Markdown formātā ir pieejama https://doitong.com/lv/developers/models/vggt-1b.md. Visi modeļi un ceļveži: https://doitong.com/developers/llms.txt