mmdeploy/demo
Chen Xin 7de413a19c
[Feature] Sync csharp apis with newly added c apis && demo (#1718)
* sync c api to c#

* fix typo

* add pose tracker c# demo

* udpate gitignore

* remove print

* fix lint

* update rotated detection api

* update rotated detection demo

* rename pose_tracking -> pose_tracker

* use input size as default
2023-03-02 09:20:41 +08:00
..
csharp [Feature] Sync csharp apis with newly added c apis && demo (#1718) 2023-03-02 09:20:41 +08:00
csrc [Fix] Fix palette generation on opencv-3.x (#1778) 2023-02-17 18:33:38 +08:00
java Add java apis and demos (#563) 2022-06-29 11:02:08 +08:00
python [Feature] Support feature map output for mmsegmentation (#1625) 2023-02-03 20:47:55 +08:00
resources add more images for demos and user guides (#1339) 2022-11-09 21:06:32 +08:00
tutorials
README.md [Docs] Replace markdownlint with mdformat and configure myst-parser (#610) 2022-06-17 09:19:10 +08:00
demo_rewrite.py

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