Sam3 Image Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "sam3-image",
 9    image="https://segmind-resources.s3.amazonaws.com/input/6faa9243-e250-424b-b1b9-c5f1e5e93ab9-sample1.jpg",
10    text_prompt="plants",
11    point_labels_input="[[1]]",
12    return_preview=True,
13    return_overlay=False,
14    return_masks=False,
15    threshold=0.5,
16    points_per_side=32,
17    pred_iou_thresh=0.88,
18    max_masks=0,
19)
20print(result["status"])                      # COMPLETED
21print(result.get("output"))                  # model output (e.g. media URL)
22print(result["metrics"]["inference_time"])   # server compute seconds
23
24# --- Or submit + poll manually (track request_id, control the cadence) ---
25from segmind import SegmindClient, InferenceFailed, InferenceTimeout
26
27client = SegmindClient()                      # reads SEGMIND_API_KEY
28payload = {
29    "image": "https://segmind-resources.s3.amazonaws.com/input/6faa9243-e250-424b-b1b9-c5f1e5e93ab9-sample1.jpg",
30    "text_prompt": "plants",
31    "point_labels_input": "[[1]]",
32    "return_preview": True,
33    "return_overlay": False,
34    "return_masks": False,
35    "threshold": 0.5,
36    "points_per_side": 32,
37    "pred_iou_thresh": 0.88,
38    "max_masks": 0,
39}
40job = client.submit_async("sam3-image", **payload)
41print(job.request_id)                         # available immediately
42try:
43    result = job.wait(timeout=600, interval=1.0)
44except InferenceTimeout as e:
45    print("still running:", e.request_id)
46except InferenceFailed as e:
47    print("failed:", e.detail)