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PINTO0309 / PINTO_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Home Page:https://qiita.com/PINTO

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Release new 303_FAN with heatmaps

henryruhs opened this issue · comments

commented

Issue Type

Feature Request

Programming Language

Python

Framework

ONNX

Model name and Weights/Checkpoints URL

303_FAN

Description

I assume the newer models have a higher accuracy but they lack of the heatmaps.

  1. In case the models are the same in terms of accuracy - consider to clarify this in the README or rename the models like model_with_headmap and model_without_headmap rather than old and new.
  2. In case the new models are indeed better, please release it with heatmaps.
commented

Then you do it.

commented

Wait, before you close the issue... could you first clarify it?

Do what without knowing a fact?

commented

Have you looked at all the committed resources?
If you need to, you can convert it yourself as you wish.
What do you want from me?
Why should I work on it like you expect me to?
I don't make what I don't think I need. That's it.

https://github.com/PINTO0309/PINTO_model_zoo/blob/main/303_FAN/url.txt

I assume the newer models have a higher accuracy but they lack of the heatmaps.

No. The accuracy is not high. Not accurate. I just optimized the structure.