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- README.md +26 -0
- portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/deploy.yaml +9 -0
- portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdiparams +0 -0
- portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdiparams.info +0 -0
- portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdmodel +3 -0
.gitattributes
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portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdmodel filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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thumbnail: "https://i.imgur.com/z0BwlOe.png"
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tags:
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- image matting
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- image segmentation
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license: apache-2.0
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metrics:
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- mean_iou
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---
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PP-HumanSeg v1 model, released by [Paddle](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg).
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Tested on the [PP-HumanSeg-14K](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.6/contrib/PP-HumanSeg/paper.md) dataset.
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| Model Name | Best Input Shape | mIou(%) | Inference Time on Arm CPU(ms) | Modle Size(MB) |
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| --- | --- | --- | ---| --- |
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| PP-HumanSegV1-Lite | 398x224 | 93.60 | 29.68 | 2.3 |
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**Network Architecture**
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Model architecture named ConnectNet, which is suitable for real-time segmentation scenarios on the web or mobile.
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![]([pphumanseg_lite.png](https://raw.githubusercontent.com/unography/PaddleSeg/release/2.6/configs/pp_humanseg_lite/pphumanseg_lite.png))
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[More details](https://github.com/unography/PaddleSeg/tree/release/2.6/configs/pp_humanseg_lite)
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portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/deploy.yaml
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Deploy:
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model: model.pdmodel
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params: model.pdiparams
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transforms:
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- target_size:
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- 398
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- 224
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type: Resize
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- type: Normalize
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portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdiparams
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Binary file (556 kB). View file
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portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdiparams.info
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Binary file (38 kB). View file
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portrait_pp_humansegv1_lite_398x224_inference_model_with_softmax/model.pdmodel
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version https://git-lfs.github.com/spec/v1
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oid sha256:726c5710e7b76529acc3b40d912421f71ae2946329227100c54ba79033670ec3
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size 1736712
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