1adrianb / 1adrianb/face-alignment-training
How can I get the whole Network structure of FAN ?
- Dominant language
- Lua
- Stars
- 152
- Forks
- 44
- PR merge metrics
- No merged PRs in 30d
Description
I have tried your python code of FAN which actually has a very good result. But I have a visualize problem. Sorry that i am unfamiliar with lua and torch. I have tried python-graphviz in your project in FAN in python but I failed with getting "NoneType" pdf which contained nothing.
Could you give a whole visualized network structure with some specific values like netscope of Caffe or Tensorboard of tensorflow?
I mean the network of 2D face feature structure is OK, all structure is best!
Contributor guide
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Research direction
The issue asks for a visualized network structure of the FAN model, similar to Netscope or TensorBoard. The repository uses Lua and Torch. Start by examining the model definition files in the project to understand the architecture. Then research how to export or visualize Torch models in Python, possibly using tools like torchviz or ONNX. The goal is to produce a complete, labeled diagram of the 2D face alignment network.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua, python
- Domain
- computer-vision, data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100