You need to enable JavaScript to run this app.
优惠活动
大模型
产品
解决方案
定价
更多

使用Caffe的create_imagenet.sh转JPG为LMDB无输出问题求助

Troubleshooting No Output When Running Caffe's Image Conversion Script

Let's walk through the possible issues step by step—since your script runs without any output, it's likely failing silently or hitting an early exit without showing errors:

1. Ditch sudo Unless You Really Need It

Running the script with sudo switches to the root user, which creates two common problems:

  • Root might not have permission to access your user-specific directories (like /home/sun/...), so commands that work for your user could fail for root.
  • Error messages might be suppressed or redirected to a root-only log instead of your terminal.

First, try running the script without sudo:

sh create_oxford.sh

If you get permission errors (e.g., writing to the $EXAMPLE directory), fix directory permissions instead of relying on sudo:

chmod -R 755 /home/sun/Documents/python/fine-tuning/Oxford102/data/test

2. Fix the Error Message Typo (and Validate Path Checks)

Looking at your script, there's a small but confusing typo in the DATA_TEST error handling:

if [ ! -d "$DATA_TEST" ]; then
    echo "Error: TRAIN_DATA_ROOT is not a path to a directory: $DATA_TEST"
    # ... rest of message
fi

The message references TRAIN_DATA_ROOT but is checking DATA_TEST—this is just wording, but more importantly: your script uses set -e (exit immediately if any command fails). If either DATA_TRAIN or DATA_TEST is invalid, the script exits right away, but sudo might hide this error.

To capture all output (including errors), run the script with redirection:

sh create_oxford.sh > script_output.log 2>&1

Then check script_output.log for any messages about missing directories.

3. Verify the convert_imageset Tool Exists

Double-check that the convert_imageset binary is present in your specified BUILD path, and that your user can access it:

ls -l /home/sun/Documents/caffe/build/tools/convert_imageset

If this returns "No such file or directory", you need to re-build Caffe to generate the tool. If it exists but lacks execute permissions, fix that:

chmod +x /home/sun/Documents/caffe/build/tools/convert_imageset

4. Debug with Verbose Execution

Modify your script to print every command it runs, so you can see exactly where it stops working. Change the line set -e to:

set -ex

The x flag enables verbose mode, so each command is printed to the terminal before execution. Run the script again, and you'll spot which step is failing.

5. Validate Label Files and Image Paths

Even though you said your label files follow the image_0001.jpg 0 format, double-check:

  • Every filename in info_train.txt exists in /home/sun/Documents/python/fine-tuning/Oxford102/data/test/train/ (Linux is case-sensitive—watch for typos like Image_0001.jpg instead of image_0001.jpg).
  • Label files have no blank lines or extra spaces.
  • Files are saved as plain text (not rich formats like .docx or .rtf).

6. Ensure LMDB Output Directories Are Writable

The script tries to create img_train_lmdb and img_test_lmdb in $EXAMPLE. Make sure the directory is writable:

mkdir -p /home/sun/Documents/python/fine-tuning/Oxford102/data/test/img_train_lmdb
chmod 755 /home/sun/Documents/python/fine-tuning/Oxford102/data/test/img_train_lmdb

Repeat this for the test LMDB directory.


内容的提问来源于stack exchange,提问作者goldentime

相关产品推荐
方舟 Agent Plan

超全模态模型 × Harness 升级,最新支持 Deepseek-V4.1-Flash、GLM-5.3 系列、Doubao-Seedream-5.0-pro、Kimi-K3 (部分), 限时 9.9 元起

最近更新时间:2026.05.29 09:01:37