Dear developers,
I’m Javier Tuesta, researcher at the Mechanical Department of the Universidad de Piura, my lab is working on the development of a personalized printed cast using CAD/CAE tools to publish the methodology in an indexed journal. I selected Meshroom because it is an open-source software that allows to obtain a 3D model of the arm employing pictures and it is widely used for scientists around the world.
The purpose of this email is to ask for helping in scale of Meshroom models using CCTAG3, because I need a real scale arm model; I used the CCTAG3 markers with ID 0 and ID 1 but the program didn't recognize them.
Can you give me more details about the use of CCTAG3?
I follow the steps of this guide: https://github.com/alicevision/meshroom/wiki/CCTAG-scaling
This is a frame of the video. The distance between 2 centres is 100mm.

Best regards.


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Now we use the version 2020.1.1
First, we did the default process

If I use only one frame, meshroom recognizes the markers, but when I use all the frames (242), meshroom stop in FeatureExtraction. In the two options, when we activate cctag3 only or when we actívate sift and cctag3 happens:



What’s our wrong?
Best regards.

De: Fabien Castan
Enviado: viernes, 16 de abril de 2021 04:40
Para: Simone Gasparini;
FERNANDO JAVIER TUESTA GUZMAN
CC: alice...@googlegroups.com;
alicevis...@googlegroups.com;
wsre...@gmail.com;
Carlos Ojeda Diaz
Asunto: RE: Real-scale Meshroom model's inquiry
Also remember that the markers need to be fully flat.
![]()
De : alice...@googlegroups.com <alice...@googlegroups.com> de la part de Simone Gasparini <simone.g...@gmail.com>
Envoyé : vendredi 16 avril 2021 11:37
À : FERNANDO JAVIER TUESTA GUZMAN <fernando...@alum.udep.edu.pe>
Cc : alice...@googlegroups.com <alice...@googlegroups.com>; alicevis...@googlegroups.com <alicevis...@googlegroups.com>; wsre...@gmail.com <wsre...@gmail.com>; Carlos Ojeda Diaz <carlos...@udep.edu.pe>
Objet : Re: Real-scale Meshroom model's inquiry
⚠️ Do not click or open unknown attachments ⚠️ **
You can also check in meshroom:

In the image tab, click on the 3 points button on the bottom left of the tab (the ones in blue in the image)

and you should see how many markers have been detected, 2 in this case, and you see in the image the overlay around the detected markers
S.
On Fri, Apr 16, 2021 at 11:32 AM Simone Gasparini <simone.g...@gmail.com> wrote:
Hi,
they should be detected (see image)
Which version of Meshroom are running?
Did you build it yourself or is it a prebuilt version that you download?
In any case, did you check the cctag3 option in feature extraction, matching and in sfm?
On Fri, Apr 16, 2021 at 2:58 AM 'FERNANDO JAVIER TUESTA GUZMAN' via AliceVision <alice...@googlegroups.com> wrote:
Dear developers,
I’m Javier Tuesta, researcher at the Mechanical Department of the Universidad de Piura, my lab is working on the development of a personalized printed cast using CAD/CAE tools to publish the methodology in an indexed journal. I selected Meshroom because it is an open-source software that allows to obtain a 3D model of the arm employing pictures and it is widely used for scientists around the world.
The purpose of this email is to ask for helping in scale of Meshroom models using CCTAG3, because I need a real scale arm model; I used the CCTAG3 markers with ID 0 and ID 1 but the program didn't recognize them.
Can you give me more details about the use of CCTAG3?
I follow the steps of this guide: https://github.com/alicevision/meshroom/wiki/CCTAG-scaling
This is a frame of the video. The distance between 2 centres is 100mm.
Best regards.
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Good afternoon,
The content of log tab (only cctag3)
Program called with the following parameters:
* describerPreset = "normal"
* describerTypes = "cctag3"
* forceCpuExtraction = 1
* input = "C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/Duda/MeshroomCache/CameraInit/7b6b7525f95c10b12dc676e56b7639c3d574be75/cameraInit.sfm"
* maxThreads = 0
* output = "C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/Duda/MeshroomCache/FeatureExtraction/d7e6dec0e524f3af1152d45f204d167420b94d1a"
* rangeSize = 40
* rangeStart = 0
* verboseLevel = Unknown Type "enum aliceVision::system::EVerboseLevel"
[15:49:25.832763][info] CUDA-Enabled GPU.
Device information:
- id: 0
- name: GeForce GTX 1050
- compute capability: 6.1
- total device memory: 4096 MB
- device memory available: 3377 MB
- per-block shared memory: 49152
- warp size: 32
- max threads per block: 1024
- max threads per SM(X): 2048
- max block sizes: {1024,1024,64}
- max grid sizes: {2147483647,65535,65535}
- max 2D array texture: {131072,65536}
- max 3D array texture: {16384,16384,16384}
- max 2D linear texture: {131072,65000,2097120}
- max 2D layered texture: {32768,32768,2048}
- number of SM(x)s: 5
- registers per SM(x): 65536
- registers per block: 65536
- concurrent kernels: yes
- mapping host memory: yes
- unified addressing: yes
- texture alignment: 512 byte
- pitch alignment: 32 byte
0
[15:49:25.963049][info] Job max memory consumption for one image: 5 MB
[15:49:25.963049][info] Memory information:
- Total RAM: 15.8441 GB
- Free RAM: 8.58464 GB
- Total swap: 131072 GB
- Free swap: 131039 GB
[15:49:25.963049][info] Max number of threads regarding memory usage: 1323
[15:49:25.963049][info] # threads for extraction: 12
[15:49:26.116171][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00601.jpg' [cpu]
[15:49:26.140107][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00505.jpg' [cpu]
[15:49:26.145095][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00377.jpg' [cpu]
[15:49:26.150084][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00017.jpg' [cpu]
[15:49:26.151080][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00061.jpg' [cpu]
[15:49:26.151080][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00241.jpg' [cpu]
[15:49:26.152608][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00121.jpg' [cpu]
[15:49:26.156583][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00757.jpg' [cpu]
[15:49:26.158577][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00869.jpg' [cpu]
[15:49:26.158577][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00777.jpg' [cpu]
[15:49:26.165559][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00073.jpg' [cpu]
[15:49:26.174534][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00641.jpg' [cpu]
If we try sift and cctag3, the content:
Program called with the following parameters:
* describerPreset = "normal"
* describerTypes = "sift,cctag3"
* forceCpuExtraction = 1
* input = "C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/Duda/MeshroomCache/CameraInit/7b6b7525f95c10b12dc676e56b7639c3d574be75/cameraInit.sfm"
* maxThreads = 0
* output = "C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/Duda/MeshroomCache/FeatureExtraction/ec610b931a006321b9b7786410a28b740f1899ff"
* rangeSize = 40
* rangeStart = 0
* verboseLevel = Unknown Type "enum aliceVision::system::EVerboseLevel"
[15:51:41.386565][info] CUDA-Enabled GPU.
Device information:
- id: 0
- name: GeForce GTX 1050
- compute capability: 6.1
- total device memory: 4096 MB
- device memory available: 3377 MB
- per-block shared memory: 49152
- warp size: 32
- max threads per block: 1024
- max threads per SM(X): 2048
- max block sizes: {1024,1024,64}
- max grid sizes: {2147483647,65535,65535}
- max 2D array texture: {131072,65536}
- max 3D array texture: {16384,16384,16384}
- max 2D linear texture: {131072,65000,2097120}
- max 2D layered texture: {32768,32768,2048}
- number of SM(x)s: 5
- registers per SM(x): 65536
- registers per block: 65536
- concurrent kernels: yes
- mapping host memory: yes
- unified addressing: yes
- texture alignment: 512 byte
- pitch alignment: 32 byte
0
[15:51:41.517215][info] Supported CUDA-Enabled GPU detected.
[15:51:41.520207][info] Job max memory consumption for one image: 170 MB
[15:51:41.520207][info] Memory information:
- Total RAM: 15.8441 GB
- Free RAM: 8.31075 GB
- Total swap: 131072 GB
- Free swap: 131039 GB
[15:51:41.520207][info] Max number of threads regarding memory usage: 45
[15:51:41.520207][info] # threads for extraction: 12
[15:51:41.670837][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00505.jpg' [cpu]
[15:51:41.679816][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00121.jpg' [cpu]
[15:51:41.694773][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00869.jpg' [cpu]
[15:51:41.704747][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00061.jpg' [cpu]
[15:51:41.711733][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00377.jpg' [cpu]
[15:51:41.713729][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00757.jpg' [cpu]
[15:51:41.728688][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00601.jpg' [cpu]
[15:51:41.729681][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00017.jpg' [cpu]
[15:51:41.730677][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00777.jpg' [cpu]
[15:51:41.731674][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00641.jpg' [cpu]
[15:51:41.732674][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00241.jpg' [cpu]
[15:51:41.748629][info] Extracting cctag3 features from view 'C:/Users/USUARIO/Desktop/Videos definitivos/ESCALA/1/scene00073.jpg' [cpu]
Thanks for your support, best regards.
