Comments (4)
Hello, Is the model generated normally?
I think you can ignore this WARNING message if tflite model can running normally.
from onnx2tflite.
I have tried, and the output int8 model can work normally.
from onnx2tflite.
Hi,
After conducting some investigations, I am confident that your tool works great.
I wanted to share some additional information for your reference.
I actually modified yolov5-6.1's exporting code by removing some final layers,
which resulted in a .onnx model with three output nodes.
However, after using your tool to convert the .onnx model,
I noticed that the order of the output nodes in the resulting .tflite model was changed.
As a result, my c++ code displayed incorrect detection results due to the
mismatched order of the anchors and output nodes.
Perhaps there is a way to improve this?
Additionally, would you consider adding the command
edgetpu_compiler -s -a [tflite file] -o [output folder]
to your project to output the edgetpu model altogether?
from onnx2tflite.
Hi.
I'm glad my tools can help you.
For yolov5, tool can work with two format models, one is 3 outputs and one is 1 output(with coordinate processing).
About order changed of outputs , I have tried some methods to make it matched, but failed...
For edgetpu_compiler, it's not in planning, because I'm not known with it, but welcome for PR.
from onnx2tflite.
Related Issues (20)
- large difference after adding SE module HOT 1
- ValueError HOT 1
- Convert onnx with dynamic input shape HOT 2
- run torchvision_test, got KeyError: 'Shape not implemented yet' HOT 6
- 尝试把IMDN和RFDN的PyTorch模型转换成.tflite文件,使用AI benchmark APP简单部署在安卓手机测试速度,失败了!!! HOT 4
- KeyError: 'NonMaxSuppression not implemented yet' (YOLOv7 tiny onnx to tflite) HOT 2
- Dimensional error HOT 3
- Add option to allow for dynamic resize HOT 4
- ValueError: Layer p_re_lu weight shape (1, 1, 32) is not compatible with provided weight shape (32, 1, 1). HOT 3
- Extract score and class_id from converted model HOT 6
- Add setup.py to be installed as a package HOT 2
- Opencv resize method use different axises, which leads to errors during int8 callibration
- onnx converting to tflite got an error, is there any solutions? HOT 3
- max error is too big during conversion HOT 2
- dimension error
- Convert fail Cannot reshape a tensor HOT 1
- yolov5s.onnx转换tflite出错 HOT 2
- Unable to perform 1dconv conversion? HOT 1
- The gpu cannot be used after model conversion HOT 1
- onnx转为tflite 为啥数据类型变成了uint8? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from onnx2tflite.