mmdeploy/demo
Li Zhang 9fee1920fa
[Fix] Fix palette generation on opencv-3.x (#1779)
2023-02-17 18:40:44 +08:00
..
csharp bump version to 1.0.0rc2 (#1754) 2023-02-16 14:20:33 +08:00
csrc [Fix] Fix palette generation on opencv-3.x (#1779) 2023-02-17 18:40:44 +08:00
java Sync v0.7.0 to dev-1.x (#907) 2022-08-19 09:30:13 +08:00
python [Feature] Support feature map output for mmsegmentation (#1625) 2023-02-07 21:04:20 +08:00
resources update doc about codebase deployment (#1051) 2022-09-24 18:05:24 +08:00
tutorials [Enhancement]: add md link check github action (#1320) 2022-12-08 16:13:51 +08:00
README.md
demo_rewrite.py [Refactor] Refactor rewriter context for MMRazor (#1483) 2022-12-13 19:03:56 +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