mmdeploy

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[Refactor] Decouple preprocess operation and transformation (#1353 )

* refactor SDK registry

* fix lint

* decouple transform logic and operations

* data management

* improve data management

* improve data management

* context management

* fix ResizeOCR

* fix operation fallback logic

* fix MSVC build

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* sync master

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* Normalize - add `to_float`, merge `cvtcolor` operations

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2022-11-28 14:46:05 +08:00

csharp

[Docs] Replace markdownlint with mdformat and configure myst-parser (#610 )

2022-06-17 09:19:10 +08:00

csrc

[Refactor] Decouple preprocess operation and transformation (#1353 )

2022-11-28 14:46:05 +08:00

java

Add java apis and demos (#563 )

2022-06-29 11:02:08 +08:00

python

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2022-11-04 14:15:36 +08:00

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2022-11-09 21:06:32 +08:00

tutorials

【Docs】Add ipython notebook tutorial (#234 )

2022-04-27 20:04:56 +08:00

demo_rewrite.py

…

README.md

[Docs] Replace markdownlint with mdformat and configure myst-parser (#610 )

2022-06-17 09:19:10 +08:00

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