yuta-hi / pycuda_drr Goto Github PK
View Code? Open in Web Editor NEWDigitally recconstructed radiograph
License: MIT License
Digitally recconstructed radiograph
License: MIT License
when I specific mhd_filename with a path of dicom, an error occured like this:
Traceback (most recent call last):
File "rendering.py", line 129, in <module>
main()
File "rendering.py", line 31, in main
volume, spacing = load_image(mhd_filename)
File "rendering.py", line 11, in load_image
itkimage = sitk.ReadImage(filename)
File "/home/huangtianbo/anaconda3/lib/python3.7/site-packages/SimpleITK/SimpleITK.py", line 8876, in ReadImage
return _SimpleITK.ReadImage(*args)
RuntimeError: Exception thrown in SimpleITK ReadImage: /tmp/SimpleITK/Code/IO/src/sitkImageReaderBase.cxx:107:
sitk::ERROR: Unable to determine ImageIO reader for "/home/huangtianbo/zp/spine_direction_classification/template_expretiment/s1"
can you give more detail about the parameter...
Hi Yuta,
May I learn which algorithm you used while producing a DRR? Did you implement a algorithm from a research paper or book?
Thanks in advance
Hi,
I have the following questions to consult。
Hi Yuta,
I implemented on a sample dataset and I got images as the attached picture. I have two additional questions:
Hi,
I tried rendering.py for a ct image (converted to mhd) and got an error like:
T_Nx4x4.shape: (1, 4, 4)
Result image shape: (1280, 1280, 3)
Traceback (most recent call last):
File "rendering.py", line 118, in
main()
File "rendering.py", line 60, in main
from chainer_bcnn.data import save_image
ModuleNotFoundError: No module named 'chainer_bcnn'
Could you help me regarding this issue?
Thanks
I need to get an x-ray as close to real size as possible. Does making SDD and SOD values the same is the right way or should I do something different?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.