1adrianb / 1adrianb/face-alignment-training
How can I get the whole Network structure of FAN ?
- 主要语言
- Lua
- 星标
- 152
- 派生
- 44
- PR 合并指标
- 30 天内没有已合并 PR
描述
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!
贡献指南
这个仓库没有索引到贡献指南
调研方向
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.
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评估
- 技术栈
- lua, python
- 领域
- computer-vision, data-visualization, machine-learning
- Issue 类型
- 功能
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 30/100