xystitch
This code is useful, but old and crusty. Don't look under the hood :)
Core utilities in typical usage order:
- xy-stitch: high level .pto creation workflow (xy-feature + xy-pto)
- xy-feature: create features
- xy-pto: tweak pto and optimize it
- xy-hugin: open reduced .pto for faster cropping and rotation
- Or just use hugin if your project is small enough
- xy-ts: stitch image into output .jpgs such as tiles and/or one large .jpg
Misc utilities:
- xy-cphugin: open reduced .pto to tweak control points around poorly optimized areas
- xy-outlier: print and remove control point outliers
- xy-cp: similar to outlier, but operates on image RMS
- xy-stack: stack image sets using Zerene Stacker. Used for distorted chips
- xy-stitch-aj uses older algorithm that gave early good results
Quick start
Requires Python 3.6 or later
Tested on:
- Ubuntu 20.04
- python 3.8.5
Install:
# Misc requirements
sudo apt install hugin-tools enblend imagemagick
# Do one of these:
# Option 1: install from pip
sudo pip3 install xystitch
# Option 2: install from git
cd ~
git clone https://github.com/JohnDMcMaster/xystitch.git
cd xystitch
sudo python3 setup.py install
Now try a small stitch:
wget https://siliconpr0n.org/media/xystitch/2020-11-27_stitch_test.tar
tar -xf 2020-11-27_stitch_test.tar
cd 2020-11-27_stitch_test
# Perform feature recognition and place images on a global position grid
# On my carbon X1 (gen 4) this took ~10 sec
xy-stitch
Now open in Hugin to rotate and crop the image (optional):
xy-hugin out.pto
Now:
- Click on " view panorama"
- Go to crop tab and set crop
- Save project (ctrl-S or file => save)
- Close both windows
# On my carbon X1 (gen 4) this took ~45 sec
xy-ts
If you'd like to see stitch progress, in a new window do "tail -f pr0nts/w00.log"
Output files:
- single/: final .jpg, if its possible to make
- st/: "supertiles,", the intermediate partial stitches
- out/: tiles. Can be fed into pr0nmap utility
- pr0nstitch/: log files
User guide
WARNING: there are several hard coded values in the framework right now. Please see "config" section to work around them until fixed.
Image file name
- Name files like c012_r345.jpg to put an image at col=12, row=345
- c000_r000.jpg is the first image
- xy-feature can tolerate missing images by adding "--skip-missing"
- There are several utlities to rename files into compliant form
- Ex: rename_xy.py interpolates a manually taken image set with irregular columns into a grid layout
Stitch failures
- Commands can fail if they out of memory
- You will hopefully get a legible error message when this happens, even if nona/enblend is not by itself
- Try reducing number of threads
- Try reducing supertile size and/or use config file to increase their memory
- Do you have enough disk space?
- nona may fail if images have too much overlap and/or are cropped too close to effectively use an image
- Consider making crop large
- Try stitching with a different (usually larger is better) supertile size
- xystitch tries hard to work around this but doesn't always succeed
- I take images w/ about 30% overlap
Sample performance data: https://docs.google.com/spreadsheets/d/1zUHiHdVTUtuGzdpsjj1qhKfYHIgDBVzwJIBZmqQP_4c/edit?usp=sharing
Main config
Environment variables (see xystitch/config.py):
- XY_STEP_FRAC_X, XY_STEP_FRAC_Y (or XY_STEP_FRAC): fraction of image that is stepped to move to next
- Default: 0.70, but a scan specific config file, if present, will take preference over this variable
- Ex: default of 0.70 means 30% overlap to adjacent image
- If there is an image on each side 40% of the image (in the center) will be unique
- This constant name / application needs review for clarity
- XY_OVERLAP_OUTLIER_THRESH: throw out images that differ by more than given fraction vs expected overlap
- Default: 0.10 (ie 10%) means that with default 0.70 overlap, a step size of 60% to 80% is acceptable
Main config file used for advanced operations like setting enblend max memory.
Suggestions for st_max_pix:
- This is intended to stop jobs from taking too long more than prevent out of memory errors
- Run a long job / without limit until you are getting tired of it completing
- Ex: I aim that supertiles can stitch overnight, say complete within 8 hours
- Consider using profile_enblend.py on a log file to plot how long images take to process
- Convert to pixels...
- Ex: 70% step size, 1632x1224 image: 0.7 * 1632 * 0.7 * 1224 = 0.98 MP / image. If 8 hours can process around 600 images, set limit to 0.98 * 600 = 588m
- TODO: collect more data to conclusively show performance actually depends more on pixels than number images
Sample config file with commonly tweaked options:
$ cat ~/.xyrc
{
"max_mem": "110g",
"ts": {
"st_max_pix": "600m"
},
"enblend": {
"opts": "-m 6144"
}
}
Sample config file with advanced configuration:
$ cat ~/.xyrc
{
"max_mem": "110g",
"temp_base": "/mnt/m10_4/tmp/",
"keep_temp": 1,
"ts": {
"workers": 16,
"st_max_pix": "600m"
},
"enblend": {
"opts": "-m 6144"
}
}
Importing sequentially named files
Files must be named to have upper left origin and 0 indexed rows/columns. rename_xy.py can be used to import files named sequentially, such as a DSLR might take
Munge order:
- Apply column markers (--cols or --endrows)
- Remove rows/columns (--rm-even-row etc)
- Apply layout
Supported layouts:
- lr-ud: images start at left and go right
- rl-ud: iamges start at right and go left
- serp-lr-ud: images start at top, go left and go right, then right and go left. Rinse and repeat
- serp-rl-ud: images start at top, go right and go left, then left and go right. Rinse and repeat
- serp-lr-du: like serp-lr-ud, but start from bottom instead of top
- serp-rl-du: like serp-rl-ud, but start from bottom instead of top
Scan config
This file is output by pyuscope. It is used to automatically load scan parameters and shouldn't be required
TODO: add a link to config and/or describe options digested here
Ubuntu 20.04 notes
Had to adjust magick limits. Not carefully thought out but I'm using the values below
/etc/ImageMagick-6/policy.xml
<policy domain="resource" name="memory" value="16GiB"/>
<policy domain="resource" name="map" value="32GiB"/>
<policy domain="resource" name="width" value="128KP"/>
<policy domain="resource" name="height" value="128KP"/>
<!-- <policy domain="resource" name="list-length" value="128"/> -->
<policy domain="resource" name="area" value="16GB"/>
<policy domain="resource" name="disk" value="32GiB"/>
enblend eliminated -m option, which causes multiple issues with my stitches. TLDR: follow instructions below to setup enblend 4.1 and have something like below in your config
cat ~/.xyrc
{
"enblend": {
"opts": "-m 6144"
}
}
Setup:
tar -xf enblend-enfuse-4.1.5.tar.gz
cd enblend-enfuse-4.1.5
sudo apt-get install -y libopenexr-dev libboost-system-dev \
libboost-filesystem-dev libboost-graph-dev libboost-thread-dev \
freeglut3-dev libglew-dev libxi-dev libxmu-dev libplot-dev libgsl0-dev \
liblcms2-dev \
\
help2man texinfo gnuplot tidy \
libvigraimpex-dev libgsl-dev libtiff5 libtiff5-dev
./configure --prefix=/opt/enblend-4.1.5 --enable-gpu-support --enable-image-cache
time make -j $(nproc)
sudo make install
mkdir -p ~/bin
ln -s /opt/enblend-4.1.5/bin/enblend ~/bin/
Version history
v0.0.0 (2020-01-28)
- Import old project from pr0ntools repository
v1.0.0 (2020-11-27)
- First official release
- Adopt xy- prefix
v1.1.0 (2021-03-06)
- Python3
- Fix optimizer RMS crash bug
- Print worker status in master
- Remove pr0ntools reference
v1.2.0 (future)
- .pr0nrc => .xyrc
- Change ts memory configuration
- Clean up worker printing