1adrianb / 1adrianb/face-alignment-training
I met a problem when I run this code.
- 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
Following the README document,I run:
```
th main.lua -data /media/john/Documents/Dataset/300W_LP/
```
The construction of dataset directory is:
.
├── AFW
├── AFW_Flip
├── Code
│ ├── Mex
│ └── ModelGeneration
├── HELEN
├── HELEN_Flip
├── IBUG
├── IBUG_Flip
├── landmarks
│ ├── AFW
│ ├── HELEN
│ ├── IBUG
│ └── LFPW
├── LFPW
└── LFPW_Flip
But I meet a problem :
```
=> Creating model from file: models/fan.lua
=> Model size: 23820176
=> Building dataset...
=> Dataset built. 115120 images were found.
=> DataLoader.create
Using lr_rate: 0.000250
=> Training epoch # 1
/home/john/torch/install/bin/luajit: /home/john/torch/install/share/lua/5.1/threads/threads.lua:183: [thread 2 callback] cannot open in mode r at /home/john/torch/pkg/torch/lib/TH/THDiskFile.c:673
stack traceback:
[C]: at 0x7f89f5719430
[C]: in function 'DiskFile'
/home/john/torch/install/share/lua/5.1/torch/File.lua:405: in function 'load'
./dataset-images.lua:16: in function 'generateSampleFace'
./dataset-images.lua:34: in function 'get'
./dataloader.lua:96: in function <./dataloader.lua:90>
[C]: in function 'xpcall'
/home/john/torch/install/share/lua/5.1/threads/threads.lua:234: in function 'callback'
/home/john/torch/install/share/lua/5.1/threads/queue.lua:65: in function
[C]: in function 'pcall'
/home/john/torch/install/share/lua/5.1/threads/queue.lua:40: in function 'dojob'
[string " local Queue = require 'threads.queue'..."]:15: in main chunk
stack traceback:
[C]: in function 'error'
/home/john/torch/install/share/lua/5.1/threads/threads.lua:183: in function 'dojob'
./dataloader.lua:132: in function '(for generator)'
./train.lua:49: in function 'train'
main.lua:45: in main chunk
[C]: in function 'dofile'
...john/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x00405d50
```
How can I solve this problem?
贡献指南
这个仓库没有索引到贡献指南
调研方向
错误发生在 dataset-images.lua 的第 16 行,当加载 .t7 文件时。检查数据集的目录结构和文件路径。缺失的文件很可能在 landmarks/HELEN 目录中。验证数据集准备步骤,并确保所有 .t7 文件都存在且可访问。
由索引模型根据 Issue 内容生成。
评估
- 领域
- machine-learning
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 45/100