🔨 Fixed

🔥 YOLOv10 in inference now has pre- and post-processing issues solved

Thanks to @jameslahm we have inconsistencies in results from YOLOv10 model in inference package sorted out. PR #437

🌱 Changed

❗breaking change❗Inference from PaliGemma

PaliGemma models changes model category from foundation one into Roboflow model. That implies the following change in a way how it is exposed by inference server:

Before:

def do_gemma_request(prompt: str, image_path: str):
    infer_payload = {
        "image": {
            "type": "base64",
            "value": encode_bas64(image_path),
        },
        "api_key": "<ROBOFLOW-API-KEY>",
        "prompt": prompt,
    }
    response = requests.post(
        f'http:https://localhost:{PORT}/llm/paligemma',
        json=infer_payload,
    )
    resp = response.json()

Now:

def do_gemma_request(prompt: str, image_path: str):
    infer_payload = {
        "image": {
            "type": "base64",
            "value": encode_bas64(image_path),
        },
        "prompt": prompt,
        "model_id": "paligemma-3b-mix-224",
    }
    response = requests.post(
        f'http:https://localhost:{PORT}/infer/lmm',
        json=infer_payload,
    )
    resp = response.json()

PR #436

Other changes

• Replaced sv.BoxAnnotator with sv.BoundingBoxAnnotator combined with sv.LabelAnnotator to be prepare for sv.BoxAnnotator deprecation by @grzegorz-roboflow in #434
• Add PaliGemma documentation, update table of contents by @capjamesg in #429
• Add http get support for legacy model inference by @PacificDou in #449
• Fix dead supported blocks link by @LinasKo in #448
• Docs: Remove banner saying Sv Keypoint annotators are experimental by @LinasKo in #450

🥇 New Contributors

• @jameslahm made their first contribution in #437

Full Changelog: v0.11.2...v0.12.0