Instructions to use mobilint/YOLOv9c-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv9c-seg with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv9c-seg", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
| {"acc": 0.4257403884626617, "timestamp": 1778722264, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "552a876a", "date": "2026-05-14_10-31-04", "time_this_iter_s": 1220.1992917060852, "time_total_s": 1220.1992917060852, "pid": 431105, "hostname": "05a26c61d56d", "node_ip": "172.17.0.4", "config": {"percentile": 2.799042601031788e-05, "topk": 0.04216320050928676}, "time_since_restore": 1220.1992917060852, "iterations_since_restore": 1, "experiment_tag": "15_percentile=0.0000,topk=0.0422"} |