allenai/MolmoPoint-Vid-4B#
Note
This is a remotely-sourced model from the molmo_point plugin, maintained by the community. It is not part of FiftyOne core and may have special installation requirements. Please review the plugin documentation and license before use.
MolmoPoint-Vid-4B is a 4B vision-language model specialised for video pointing and tracking. Given a text prompt, it returns keypoint coordinates for each matching object across video frames. Supports frame-level tracking and sparse pointing modes..
Details
Model name:
allenai/MolmoPoint-Vid-4BModel source: https://huggingface.co/allenai/MolmoPoint-Vid-4B
Model author: Allen AI
Model license: Apache-2.0
Exposes embeddings? no
Tags:
keypoints, pointing, tracking, video, VLM, zero-shot, image-text-to-text
Requirements
Packages:
torch, transformers, pillow, huggingface-hub, molmo-utilsCPU support
yes
GPU support
yes
Example usage
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4foz.register_zoo_model_source("https://github.com/harpreetsahota204/molmo_point")
5
6dataset = foz.load_zoo_dataset(
7 "coco-2017",
8 split="validation",
9 dataset_name=fo.get_default_dataset_name(),
10 max_samples=50,
11 shuffle=True,
12)
13
14model = foz.load_zoo_model("allenai/MolmoPoint-Vid-4B")
15
16dataset.apply_model(model, label_field="predictions")
17
18session = fo.launch_app(dataset)