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Therefore, Author propose a classification-free Object Localization Network (OLN) which estimates the objectness of each region purely by how well the location and shape of a region overlap with any ground-truth object (e.g., centerness and IoU).

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Name		Name	Last commit message	Last commit date
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doc/img		doc/img
model_utils		model_utils
onnx_weight		onnx_weight
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt
video.py		video.py

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Object Localization Network

Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.

ONNX Weight file

onnx weight : https://www.dropbox.com/s/ztrp5liphjee623/oln_720x1280.onnx?dl=0
put onnnx weight file in folder onnx_weight

References:

Object-Localization-Network model: https://github.com/mcahny/object_localization_network
PINTO0309's model zoo: https://github.com/PINTO0309/PINTO_model_zoo
Original paper: https://arxiv.org/abs/2108.06753
ONNX model : https://github.com/ibaiGorordo/ONNX-Object-Localization-Network

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Therefore, Author propose a classification-free Object Localization Network (OLN) which estimates the objectness of each region purely by how well the location and shape of a region overlap with any ground-truth object (e.g., centerness and IoU).

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