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feat: support multi-scale feature extraction. #643

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Merged
merged 32 commits into from
Jun 14, 2023

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DexterJZ
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@DexterJZ DexterJZ commented May 5, 2023

Support multi-scale feature extraction. The current design only supports ResNet, MobileNetV3, ConvNeXt, ResNeST, EfficientNet, RepVGG, HRNet, and ReXNet.

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Motivation

Outputting multi-scale features is required by many downstream tasks, such as detection, OCR, and segmentation.

Test Plan

Test by running

pytest tests/modules/test_feature_extraction.py

Related Issues and PRs

Issue#639, PR#605

@DexterJZ DexterJZ closed this May 5, 2023
@DexterJZ DexterJZ deleted the extract_feature branch May 5, 2023 08:44
@DexterJZ DexterJZ restored the extract_feature branch May 5, 2023 08:49
@DexterJZ DexterJZ reopened this May 5, 2023
@DexterJZ DexterJZ changed the title Add multi-scale feature extraction for MobileNetV3, ConvNeXt, ResNeST, EfficientNet, RepVGG, and ReXNet Support multi-scale feature extraction. A more versatile design is in development. May 12, 2023
@DexterJZ DexterJZ mentioned this pull request May 12, 2023
4 tasks
@geniuspatrick geniuspatrick changed the title Support multi-scale feature extraction. A more versatile design is in development. [WIP] Support multi-scale feature extraction. A more versatile design is in development. May 17, 2023
@DexterJZ DexterJZ changed the title [WIP] Support multi-scale feature extraction. A more versatile design is in development. [WIP] Support multi-scale feature extraction. Jun 1, 2023
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lgtm

@geniuspatrick geniuspatrick changed the title [WIP] Support multi-scale feature extraction. feat: support multi-scale feature extraction. Jun 14, 2023
@geniuspatrick geniuspatrick merged commit fc1f000 into mindspore-lab:main Jun 14, 2023
@DexterJZ DexterJZ self-assigned this Jul 21, 2023
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3 participants