labelmeWithAI/labelme/ai/__init__.py

import collections

from .segment_anything_model import SegmentAnythingModel  # NOQA


Model = collections.namedtuple(
    "Model", ["name", "encoder_weight", "decoder_weight"]
)

Weight = collections.namedtuple("Weight", ["url", "md5"])

MODELS = [
    Model(
        name="Segment-Anything (speed)",
        encoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_b_01ec64.quantized.encoder.onnx",  # NOQA
            md5="80fd8d0ab6c6ae8cb7b3bd5f368a752c",
        ),
        decoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_b_01ec64.quantized.decoder.onnx",  # NOQA
            md5="4253558be238c15fc265a7a876aaec82",
        ),
    ),
    Model(
        name="Segment-Anything (balanced)",
        encoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_l_0b3195.quantized.encoder.onnx",  # NOQA
            md5="080004dc9992724d360a49399d1ee24b",
        ),
        decoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_l_0b3195.quantized.decoder.onnx",  # NOQA
            md5="851b7faac91e8e23940ee1294231d5c7",
        ),
    ),
    Model(
        name="Segment-Anything (accuracy)",
        encoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_h_4b8939.quantized.encoder.onnx",  # NOQA
            md5="958b5710d25b198d765fb6b94798f49e",
        ),
        decoder_weight=Weight(
            url="https://github.com/wkentaro/labelme/releases/download/sam-20230416/sam_vit_h_4b8939.quantized.decoder.onnx",  # NOQA
            md5="a997a408347aa081b17a3ffff9f42a80",
        ),
    ),
]