dial-rpi / freehandusrecon Goto Github PK
View Code? Open in Web Editor NEWSource code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
License: MIT License
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
License: MIT License
I wonder where to find the dataset containing 640 RRUS video.
Hi! Thank you for sharing your great work!
I hava serveral questions:
Looking forward to your reply! Thank you!
Good morning,
First of all, thank you for your work!
I have a question about how you write My' in the demo_pos.txt file.
Mi' is a matrix of 4x4 as is the result of Mi'=M(i+1)*Mi^-1. . In the article you say that you decompose Mi' into 6 degrees of freedom but in the txt you write 9 values.
What representation do you use for the 9 values?
Thank you in advance.
Cordially
Vanessa.
Hello there @Tonight1121 @yanrpi,
Thank you guys for sharing the code! I was having an issue with the command you provided to run the demo case, I can't seem to find you are calling the actual image or data from. Also, how do I run the pre-trained models that you have provided on the GoogleDrive?
Thank you,
Sohaib
I hope to get your answer
I want to ask if some files are missing
The following are the problems I encountered while running
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: '/zion/guoh9\US_recon/US_vid_frames\train'
Transform initialization mode: random_SRE2
Training mode: scratch
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