Facial-Expression-Recognition.Pytorch | CNN based pytorch implementation on facial expression | Computer Vision library
kandi X-RAY | Facial-Expression-Recognition.Pytorch Summary
kandi X-RAY | Facial-Expression-Recognition.Pytorch Summary
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
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Top functions reviewed by kandi - BETA
- Convert image to PIL image .
- Convert a PIL Image into a torch . Image .
- This function runs the test .
- Adjust the hue of an image .
- The private test function .
- Calculate public test accuracy .
- Print a progress bar .
- Train the model .
- Resize a PIL Image .
- Crop an image .
Facial-Expression-Recognition.Pytorch Key Features
Facial-Expression-Recognition.Pytorch Examples and Code Snippets
Community Discussions
Trending Discussions on Facial-Expression-Recognition.Pytorch
QUESTION
I'm confused about the in-feature of nn.linear. For out-feature of the model VGG-19's last nn.MaxPool2d, the tensor size is (512, 7, 7). The model below uses pooling function and resizes the tensor to (512, 49), then uses nn.linear(512, 7) directly. Why can't it work successfully without mismatch problem?
...ANSWER
Answered 2019-Apr-02 at 08:01Why is the assumption that this code works? I tested it, and got the following shapes, and the expected size mismatch error.
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No vulnerabilities reported
Install Facial-Expression-Recognition.Pytorch
You can use Facial-Expression-Recognition.Pytorch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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