1adrianb / 1adrianb/face-alignment-training
How can I get the whole Network structure of FAN ?
- Lingua principale
- Lua
- Stelle
- 152
- Fork
- 44
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Descrizione
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!
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Direzione di ricerca
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.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- lua, python
- Ambito
- computer-vision, data-visualization, machine-learning
- Tipo di issue
- Funzionalità
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Stato di attività
- Ferma
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 30/100