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hanrui1sensetime 051e1577a3
Add java apis and demos (#563) 
* add java classifier detector

* add segmentor

* fix lint

* add ImageRestorer java apis and demo

* remove useless count parameter for Segmentor and Restorer, add PoseDetector

* add RotatedDetection java api and demo

* add Ocr java demo and apis

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* fix lint

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* install mmdeploy

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 		2022-06-29 11:02:08 +08:00
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csharp [Docs] Replace markdownlint with mdformat and configure myst-parser (#610) 2022-06-17 09:19:10 +08:00
csrc add `MMDEPLOY_TASKS` & simplify demo cmake (#606) 2022-06-17 13:56:45 +08:00
java Add java apis and demos (#563) 2022-06-29 11:02:08 +08:00
python add sdk python demo (#554) 2022-06-07 12:16:09 +08:00
resources
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tutorials
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README.md [Docs] Replace markdownlint with mdformat and configure myst-parser (#610) 2022-06-17 09:19:10 +08:00
demo_rewrite.py
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README.md

Demo

We provide a demo showing what our mmdeploy can do for general model deployment.

In demo_rewrite.py, a resnet18 model from torchvision is rewritten through mmdeploy tool. In our rewritten model, the forward function of resnet gets modified to only down sample the original input to 4x. Original onnx model of resnet18 and its rewritten are visualized through netron.

Prerequisite

Before we run demp_rewrite.py, we need to install pyppeteer through:

pip install pyppeteer

Demo results

The original resnet18 model and its modified one are visualized as follows. The left model is the original resnet18 while the right model is exported after rewritten.

Original resnet18 Rewritten model