Sam 3 · 3D Align
Integrer
sam-3/3d-align
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/sam-3/3d-align?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/sam-3/3d-align?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/sam-3/3d-align", 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/no/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "sam-3/3d-align",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}
}
Kall Sam 3 · 3D Align-modellen (sam-3/3d-align) gjennom Doitong API. Dokumentasjon for agenter: https://doitong.com/no/developers/models/sam-3/3d-align.md
POST https://api.doitong.com/v1/run/sam-3/3d-align?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}
Hvis responsstatusen er "queued" eller "running", send GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20-forespørsler til den er "succeeded"; filene ligger i outputs[].url. POST https://api.doitong.com/v1/quote/sam-3/3d-align med samme innhold returnerer den nøyaktige prisen før kjøringen.
Denne forespørselen: ≈0,02 $ 20 API-kreditter Kjør den på denne siden
Din nye API-nøkkel. Den vises bare nå og er allerede satt inn i koden og i API-nøkkelfeltet nedenfor. Hold den hemmelig: Legg den aldri i kode som kjører i en nettleser.
Det første resultatet ditt kommer her
Bygg en forespørsel nedenfor og kjør den med API-nøkkelen din. Utdata kopieres til lagringen vår, lagret for alltid eller 7 dager gratis.
Bygg en forespørsel
Kontrollene genereres fra modellskjemaet. Koden og prisen oppdateres når du endrer dem.
/run/sam-3/3d-align?wait=20
pris → 0,02 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/sam-3/3d-align?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/sam-3/3d-align?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/sam-3/3d-align", 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": "sam-3/3d-align",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
},
"wait_seconds": 20
}
}
}
Kjør denne forespørselen
Nøkkelen din blir i denne nettleseren: Den sendes bare til Doitong API og lagres bare i localStorage hvis du krysser av for Husk. Hent en API-nøkkel
Om Sam 3 · 3D Align
Plasserer et menneskekroppsnett (.ply eller .glb) i koordinatrommet til originalbildet ved hjelp av dybdeestimering fra `image_url`. Valgfrie inndata er en menneskemaske, en brennviddeverdi og et objektnett (.glb) som gir en kombinert scenefil. Utdata inkluderer justerte nett i PLY og GLB, justeringsmetadata og en visualisering med overlegg.
Parametere
Send enten det kanoniske navnet eller det opprinnelige navnet, ikke begge. Kanoniske navn
image_urlobligatorisk
image
body_mesh_urlobligatorisk
body_mask_urlvalgfritt
object_mesh_urlvalgfritt
focal_lengthvalgfritt
Filparametere tar imot en offentlig https:// URL, en data: URI på opptil 10 MB eller file_url fra en opplasting. Filer
Utdata
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "sam-3/3d-align",
"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": 20,
"usd": "0.02",
"charged": 20,
"refunded": 0
},
"input": {
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"body_mesh_url": "https://example.com/your-file.glb"
},
"output": {
"body_mesh_ply": {
"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
},
"model_glb": {
"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
},
"visualization": {
"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
},
"metadata": {
"person_id": 1,
"scale_factor": 1.0,
"translation": [
1.0
],
"focal_length": 1.0,
"target_points_count": 1,
"cropped_vertices_count": 1
},
"scene_glb": {
"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
}
},
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Utdatafelt
- body_mesh_ply
- object {url, content_type, file_name, file_size}PLY-fil som inneholder den justerte kroppsmasken.
- model_glb
- object {url, content_type, file_name, file_size}GLB-fil som inneholder den justerte kroppsmasken for 3D-forhåndsvisning.
- visualization
- object {url, content_type, file_name, file_size}Visualisering av inndatabildet med den justerte meshen lagt over.
- metadata
- object {person_id, scale_factor, translation, focal_length, target_points_count, cropped_vertices_count}Detaljer om justeringen, for eksempel skala og translasjon.
- scene_glb
- object {url, content_type, file_name, file_size} | nullGLB-utdata er bare tilgjengelig når object_mesh_url er oppgitt; den inneholder både kropps- og objektmesher samlet i én scene.
Andre Sam3-varianter
Flere modeller: 3D
For AI-agenter: Denne siden som Markdown finnes på https://doitong.com/no/developers/models/sam-3/3d-align.md. Alle modeller og veiledninger: https://doitong.com/developers/llms.txt