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__init__.py
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"""
Ultralytics models.
| Copyright 2017-2024, Voxel51, Inc.
| `voxel51.com <https://voxel51.com/>`_
|
"""
import eta.core.web as etaw
from fiftyone.operators import types
import fiftyone.utils.ultralytics as fouu
def download_model(model_name, model_path):
"""Downloads the model.
Args:
model_name: the name of the model to download, as declared by the
``base_name`` and optional ``version`` fields of the manifest
model_path: the absolute filename or directory to which to download the
model, as declared by the ``base_filename`` field of the manifest
"""
url = MODEL_URLS[model_name]
etaw.download_file(url, path=model_path)
def load_model(model_name, model_path, classes=None):
"""Loads the model.
Args:
model_name: the name of the model to load, as declared by the
``base_name`` and optional ``version`` fields of the manifest
model_path: the absolute filename or directory to which the model was
donwloaded, as declared by the ``base_filename`` field of the
manifest
classes (None): an optional list of classes to use for zero-shot
prediction
Returns:
a :class:`fiftyone.core.models.Model`
"""
model_type = MODEL_TYPES[model_name]
d = dict(model_path=model_path, classes=classes)
if model_type == "detection":
config = fouu.FiftyOneYOLODetectionModelConfig(d)
return fouu.FiftyOneYOLODetectionModel(config)
if model_type == "segmentation":
config = fouu.FiftyOneYOLOSegmentationModelConfig(d)
return fouu.FiftyOneYOLOSegmentationModel(config)
if model_type == "rtdetr":
config = fouu.FiftyOneRTDETRModelConfig(d)
return fouu.FiftyOneRTDETRModel(config)
if model_type == "obb":
config = fouu.FiftyOneYOLOOBBModelConfig(d)
return fouu.FiftyOneYOLOOBBModel(config)
def resolve_input(model_name, ctx):
"""Defines any necessary properties to collect the model's custom
parameters from a user during prompting.
Args:
model_name: the name of the model, as declared by the ``base_name`` and
optional ``version`` fields of the manifest
ctx: an :class:`fiftyone.operators.ExecutionContext`
Returns:
a :class:`fiftyone.operators.types.Property`, or None
"""
if "world" not in model_name:
return
inputs = types.Object()
inputs.list(
"classes",
types.String(),
required=False,
default=None,
label="Zero shot classes",
description=(
"An optional list of custom classes for zero-shot prediction"
),
view=types.AutocompleteView(),
)
return types.Property(inputs)
MODEL_URLS = {
"voxel51/yolov8n-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt",
"voxel51/yolov8s-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8s.pt",
"voxel51/yolov8m-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8m.pt",
"voxel51/yolov8l-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8l.pt",
"voxel51/yolov8x-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8x.pt",
"voxel51/yolov8n-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n-seg.pt",
"voxel51/yolov8s-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8s-seg.pt",
"voxel51/yolov8m-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8m-seg.pt",
"voxel51/yolov8l-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8l-seg.pt",
"voxel51/yolov8x-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8x-seg.pt",
"voxel51/yolov9c-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov9c.pt",
"voxel51/yolov9e-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov9e.pt",
"voxel51/yolov9c-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov9c-seg.pt",
"voxel51/yolov9e-seg-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov9e-seg.pt",
"voxel51/yolov10n-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov10n.pt",
"voxel51/yolov10s-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov10s.pt",
"voxel51/yolov10m-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov10m.pt",
"voxel51/yolov10l-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov10l.pt",
"voxel51/yolov10x-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov10x.pt",
"voxel51/rtdetr-l-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/rtdetr-l.pt",
"voxel51/rtdetr-x-coco-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/rtdetr-x.pt",
"voxel51/yolov8s-world-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8s-world.pt",
"voxel51/yolov8m-world-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8m-world.pt",
"voxel51/yolov8l-world-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8l-world.pt",
"voxel51/yolov8x-world-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8x-world.pt",
"voxel51/yolov8n-obb-dotav1-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n-obb.pt",
"voxel51/yolov8s-obb-dotav1-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8s-obb.pt",
"voxel51/yolov8m-obb-dotav1-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8m-obb.pt",
"voxel51/yolov8l-obb-dotav1-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8l-obb.pt",
"voxel51/yolov8x-obb-dotav1-torch": "https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8x-obb.pt",
"voxel51/yolov8n-oiv7-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n-oiv7.pt",
"voxel51/yolov8s-oiv7-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8s-oiv7.pt",
"voxel51/yolov8m-oiv7-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8m-oiv7.pt",
"voxel51/yolov8l-oiv7-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8l-oiv7.pt",
"voxel51/yolov8x-oiv7-torch": "https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8x-oiv7.pt",
}
MODEL_TYPES = {
"voxel51/yolov8n-coco-torch": "detection",
"voxel51/yolov8s-coco-torch": "detection",
"voxel51/yolov8m-coco-torch": "detection",
"voxel51/yolov8l-coco-torch": "detection",
"voxel51/yolov8x-coco-torch": "detection",
"voxel51/yolov8n-seg-coco-torch": "detection",
"voxel51/yolov8s-seg-coco-torch": "detection",
"voxel51/yolov8m-seg-coco-torch": "detection",
"voxel51/yolov8l-seg-coco-torch": "detection",
"voxel51/yolov8x-seg-coco-torch": "detection",
"voxel51/yolov9c-coco-torch": "detection",
"voxel51/yolov9e-coco-torch": "detection",
"voxel51/yolov9c-seg-coco-torch": "segmentation",
"voxel51/yolov9e-seg-coco-torch": "segmentation",
"voxel51/yolov10n-coco-torch": "detection",
"voxel51/yolov10s-coco-torch": "detection",
"voxel51/yolov10m-coco-torch": "detection",
"voxel51/yolov10l-coco-torch": "detection",
"voxel51/yolov10x-coco-torch": "detection",
"voxel51/rtdetr-l-coco-torch": "rtdetr",
"voxel51/rtdetr-x-coco-torch": "rtdetr",
"voxel51/yolov8s-world-torch": "detection",
"voxel51/yolov8m-world-torch": "detection",
"voxel51/yolov8l-world-torch": "detection",
"voxel51/yolov8x-world-torch": "detection",
"voxel51/yolov8n-obb-dotav1-torch": "obb",
"voxel51/yolov8s-obb-dotav1-torch": "obb",
"voxel51/yolov8m-obb-dotav1-torch": "obb",
"voxel51/yolov8l-obb-dotav1-torch": "obb",
"voxel51/yolov8x-obb-dotav1-torch": "obb",
"voxel51/yolov8n-oiv7-torch": "detection",
"voxel51/yolov8s-oiv7-torch": "detection",
"voxel51/yolov8m-oiv7-torch": "detection",
"voxel51/yolov8l-oiv7-torch": "detection",
"voxel51/yolov8x-oiv7-torch": "detection",
}