Why DeGirum?
Access Models in Minutes
Run pre-trained models instantly
Hardware Agnostic
Test and prototype on diverse edge devices
Flexible Workflows
Use browser-based no-code tools or PySDK for coding
Edge-Optimized Hardware
Maximize performance with Orca accelerators
Start Prototyping Today
Choose your workflow—run models effortlessly in your browser or dive into code-based development with PySDK.
// initiate DeGirum SDK package
let dg = new dg_sdk();
// load mobilenet model from deGirum's public model zoo to run in the cloud
const secretToken = prompt("Enter secret token:");
let zoo = await dg.connect("cloud", "https://hub.degirum.com/degirum/public", secretToken);
let model = await zoo.loadModel("mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1", { autoScaleDrawing: true, overlayShowProbabilities: true});
// perform AI inference of an image specified by URL
const result = await model.predict("https://raw.githubusercontent.com/DeGirum/PySDKExamples/main/images/TwoCats.jpg");
// print numeric results
console.log("Result:", result);
// show graphical results
let canvas = document.getElementById("outputCanvas");
model.displayResultToCanvas(result, canvas);# import DeGirum PySDK package
import degirum as dg
# load mobilenet model from deGirum's public model zoo to run in the cloud
model = dg.load_model(
model_name = "mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1",
inference_host_address = dg.CLOUD,
zoo_url = "degirum/public",
token = "your_cloud_access_token",
image_backend = "pil"
)
# perform AI inference of an image specified by URL
result = model("https://raw.githubusercontent.com/DeGirum/PySDKExamples/main/images/TwoCats.jpg")
# print numeric result
print(result)
# show graphical results
result.image_overlay.show()
