ML Models

# All models visible in your workspace
for m in cw.models.list():
    print(f"{m.slug:55s}  {m.deployment}  sdk_load_id={m.sdk_load_id}")

# Filter by deployment target (server-side)
edge_models  = cw.models.list(deployment="edge")
cloud_models = cw.models.list(deployment="cloud")

# Client-side shorthands (ANDed): e.g. edge + image-capable rows
edge_vision = cw.models.list(filters=["edge", "image"])

public_models = cw.models.list_public()

# Get a single record
m = cw.models.get("acme/models/yolov8-nano")
m = cw.models.get_by_uuid("3f2a1b4c-…")

from PIL import Image

# Pass a catalog entry directly — the SDK resolves the right load key
entry = cw.models.list(deployment="edge")[0]
model = cw.models.load(entry)

# Or pass a string (filename, slug, or UUID)
model = cw.models.load("yolo26n.pt")
pred  = model.predict(Image.open("frame.jpg").convert("RGB"), confidence=0.25)

print(pred.describe())
for d in pred:
    print(d.label, d.confidence, d.bbox)

cw.models.delete("model-uuid-here")

arr = robot.get_frame("numpy")          # latest frame as a numpy array
pred = model.predict(arr, confidence=0.25)