20 lines
861 B
Python
20 lines
861 B
Python
from pathlib import Path
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from examples.yolov8 import YOLOv8, get_weights_location
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from tinygrad.tensor import Tensor
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from tinygrad.nn.state import safe_save
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from extra.export_model import export_model
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from tinygrad.device import Device
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from tinygrad.nn.state import safe_load, load_state_dict
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if __name__ == "__main__":
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Device.DEFAULT = "WEBGPU"
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yolo_variant = 'n'
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yolo_infer = YOLOv8(w=0.25, r=2.0, d=0.33, num_classes=80)
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state_dict = safe_load(get_weights_location(yolo_variant))
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load_state_dict(yolo_infer, state_dict)
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prg, inp_sizes, out_sizes, state = export_model(yolo_infer, Device.DEFAULT.lower(), Tensor.randn(1,3,416,416), model_name="yolov8")
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dirname = Path(__file__).parent
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safe_save(state, (dirname / "net.safetensors").as_posix())
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with open(dirname / f"net.js", "w") as text_file:
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text_file.write(prg)
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