[New model] Support MobileNetV3 #268
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I built the network the same as https://github.com/ekzhang/fastseg, but get a lower result as following:
I don't know why my training results are lower than original paper (about 5~6 points). |
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Task linked: CU-fjq4w0 MobileNetV3 |
xvjiarui
reviewed
Dec 25, 2020
xvjiarui
reviewed
Dec 25, 2020
| inputs = self._transform_inputs(inputs) | ||
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| x = inputs[-1] | ||
| assert x.size(2) >= 49 and x.size(3) >= 49 |
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It is proposed in the paper.
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We have to make sure that the input size is not less than 49.
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Will PyTorch raise the error if we don't assert? Or we may add comments here.
xvjiarui
approved these changes
Dec 26, 2020
bowenroom
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Feb 25, 2022
* delete markdownlint * Support MobileNetV3 * fix import * add mobilenetv3 head and configs * Modify MobileNetV3 to semantic segmentation version * modify mobilenetv3 configs * add std configs * fix Conv2dAdaptivePadding bug * add configs * add unitest and fix bugs * fix lraspp unitest bugs * restore * fix unitest * add MobileNetV3 docstring * add mmcv * add mmcv * fix syntax bug * fix unitest bug * fix unitest bug * fix unitest bugs * fix docstring * add configs * restore * delete unnecessary assert * modify unitest * delete benchmark
aravind-h-v
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Mar 27, 2023
* update expected results of slow tests * relax sum and mean tests * Print shapes when reporting exception * formatting * fix sentence * relax test_stable_diffusion_fast_ddim for gpu fp16 * relax flakey tests on GPU * added comment on large tolerences * black * format * set scheduler seed * added generator * use np.isclose * set num_inference_steps to 50 * fix dep. warning * update expected_slice * preprocess if image * updated expected results * updated expected from CI * pass generator to VAE * undo change back to orig * use orignal * revert back the expected on cpu * revert back values for CPU * more undo * update result after using gen * update mean * set generator for mps * update expected on CI server * undo * use new seed every time * cpu manual seed * reduce num_inference_steps * style * use generator for randn Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
wjkim81
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Dec 3, 2023
* Protect against dangerous default value. * Added comments.
sibozhang
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Mar 22, 2024
* make 'FrameSelector' registered * update changelog * update changelog * Update changelog.md
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Reference: https://github.com/ekzhang/fastseg