Colmap not using gpu Expect Apr 13, 2022 · When a single GPU is used, we are able to reasonably predict the number of max features -> gpu memory allocation to within a a small margin. Run mapper with --Mapper. although nvidia-smi showed. You can try to use fewer features / matches in the reconstruction stage or reduce the number of bundle adjustment iterations, frequency of global bundle adjustment, etc. While in my case, only 2 out of 30 images are matched. 04. 根据大佬的说法，稀疏重建过程中用的时CPU，（特征提取和匹配用的时GPU）所以图片多的时候会很慢。 Low GPU usage during reconstruction · Issue #2354 · colmap/colmap. I am wondering if Colmap 311 supports BA using GPU or not? Thank you Colmap can use AMD GPU but it is going to be a lot slower than NVidia GPU, more powerful the better. I have some pictures that I originally wanted to use for the… Jun 15, 2024 · Describe the bug The feature matching process is running extremely slow because it does not use GPU. 8 but not the main branch for the reason that the line 65 in src/colmap/exe/feature. 2500 frames are way too many, that will bring down i9-3090RTX-64GB to its knees for a couple days. Aug 13, 2021 · @holynski's solution is probably what you want to use. 04 CPU - AMD EPYC 7413 24-core RAM - around 200GB GPU - NVIDIA A100 40GB PCIe Latest COLMAP is installed using the in The stereo reconstruction pipeline runs on the GPU using CUDA and puts the GPU under heavy load. Also, I tried converting the "true"/"false Note that any command lists all available options using the -h,--help command-line argument. 04, GPU: RTX3090, CUDA version: 12. use_gpu 0 or –-SiftMatching. The issue was a lot simpler: docker run --rm -ti . use_gpu=1. Colmap branch: dev . ini file the GPU is not activated. The resulting SIFT features may differ between the two versions. In particular, Requested to use GPU for bundle adjustment, but Ceres was compiled without CUDA support. To Reproduce Running feature matching on a machine with Nvidia GPU. exe file it recognises. Reload to refresh your session. use_gpu 1 or --SiftExtraction. ba_global_use_pba and Mapper. use_gpu 0 and –-SiftMatching. As soon as I press 'extract' the program crashes. 6-dev. The first two are easily achieved through the GPU as Colmap directly allows for that, however the BA process is the main concern at the moment. → Changelog Vocabulary Trees. 3. Feb 24, 2021 · COLMAP can extract SIFT features either on the GPU or the CPU. I believe colmap is correctly configured to use the gpu since I see significant gpu utilization during feature extraction and mapping. I get this however during execution when doing Automatic Reconstruction. Aug 8, 2017 · When I compile colmap I can not enable GPU support because I have Cuda 5 installed (i cannot update it until September). When I run "RUN_TEST" I got the following error: Aug 3, 2017 · I only have a single rig with a CUDA system and it's remote (not really convenient to use, not with the GUI at least). 04下编译Colmap时遇到的错误，包括GPU架构不支持、libfreeimage库引用问题和内存限制，以及如何通过修改cmake配置和调整参数解决这些问题。还介绍了在终端中使用Colmap进行三维重建的过程，尤其是在大数据集上遇到的性能挑战。 Sep 13, 2023 · Yesteday, I tried to use tag 3. May I ask what the "normal" GPU performance should be? How could I speed up colmap with GPU? Thank you. I have managed to create a project and load images to create a model (after adding the images to the database I run Processing->Feature extraction and Processing->Feature matching , and then Reconstruction->Start Describe the bug colmap patch_match_stereo fails when using multiple threads(eg. do you . use_gpu or SiftMatching. Here's my environment: Ubuntu 18. Sep 30, 2024 · E20240930 17:48:32. I have tried it on Jetson agx xavier, nx1, and tx2 as well. cc:403] Check failed: solver_options. 2 when I try to make a dense reconstruction I get the message Dense ste Mar 5, 2024 · CuTexImage::BindTexture: an illegal memory access was encountered CuTexImage::BindTexture: an illegal memory access was encountered PyramidCU::GenerateFeatureList: an illegal memory access was encountered I20250117 09:32:15. Using GPU-Accelerated BA. Expected behavior Jan 16, 2024 · It use near 0% GPU during reconstruction (according to nvidia-smi) and total VRAM usage around 25%, same as idle, but when in feature matching and dense reconstruction it fully utilize my GPU so I think it is not compile/CUDA problem, is it normal? I compiled it from source, OS: Ubuntu 22. 606201 17472 feature_extraction. cc:258] Processed file [10/513] I20250117 09:32:15. IsValid(&solver_error) Can't use DENSE_SCHUR with dense_linear_algebra_library_type = CUDA because support not enabled when Ceres was built. ba_use_gpu option) it raises a ceres error on detect_structure. You switched accounts on another tab or window. Are you using a version of Colmap that was compiled with CUDA? Do you have CUDA installed? There it says "colmap with cuda" But still task manager and open hardware monitor show, that only cpu is been used heavily during "matching process". Apr 10, 2019 · And this was regardless of whether I was running --SiftExtraction. I want to share what steps I used to resolve this issue in Ubuntu 24. Thank you Jim hey there, i’ve been using colmap to render out a dense point cloud but the problem is i don’t get any output. Since the message says that Shader not supported by your hardware!, it looks to me that Colmap is trying to run the OpenGL version of SIFT. use_gpu to 0 and do feature extraction on the CPU (which will be slower). Somehow GPU acceleration is not utilized in feature/matching stage and in mapper stage (global bundle adjust I have compiled Colmap from source on Windows using the instructions provided on the official website, with the CUDA flag set during compilation. 1 and glomap with ceres-2. 194454 25592 bundle_adjustment. Hope this might save you some time Jul 12, 2017 · I'm having the same problem I have a window 10 laptop with an integrated Intel Graphics card and a NVIdia Quadro p1000. Oct 31, 2018 · I understand that Colmap just needs CUDA for dense reconstruction but not for feature extraction or feature matching. gpu_index=0,0,1,1,2,2) on the same GPU (not due to insufficient memory, also I am using a separate dedicated GPU for display). An average reconstuction is done as following: Convert the video into a sequence of images; Run COLMAP Jun 4, 2019 · I'm on a mac High Sierra with NVIDIA GTX 970 and ATI Radeon HD 2600. cc at line 111, indicating Hello, I don't have a cuda supporting GPU, so I have been running colmap on CPU only. use_gpu option, but using it requires building several components. My current pipeline basically goes like this: Feature Extraction -> Feature Mapping -> Bundle Adjustment -> . 0 installed and the latest Colmap 3. Dec 1, 2024 · I have built ceres-solver and colmap with CUDA and CUDSS support. but met a new problem with cuda. using PatchMatchStereo. 04 3080ti colmap 3. This document summarizes the procedure. → does not work :(nvidia-docker run --rm -ti → working. If use_gpu is false, then the VLFeat library is used on the CPU. Here are the functions I'm calling in python Tutorial . I have tried using colmap gui to make sure I have checked the use_gpu box and tried every gpu number, but it still didn't work. As a solution to this problem, you could use a secondary GPU in your system, that is not connected to your display by setting the GPU indices explicitly Jul 3, 2023 · According to the documentation:. 8 cuda 11. 稀疏重建时，只有很少图片 Feb 11, 2021 · I have been doing this using the sequence of colmap commands using the feature_extractor, exhaustive_matcher, and image_registrator. could that be an issue somehow? Tutorial . e. 0 & C If you have a GPU with low compute power or you want to execute COLMAP on a machine without an attached display and without CUDA support, you can run all steps on the CPU by specifying the appropriate options (e. To my joy I saw there was a multi-gpu option for the feature_extractor and feature_matcher and decided to greedily use all my GPU's, but alas there was no speed-up? Below is my script. Dec 22, 2021 · I am running colmap mapper from the command line with the flag "--Mapper. May 10, 2022 · same problem, occurs with gui->Feature extraction, but it runs fine with "auto reconstruction". I cant set the default graphics card to be the Nvidia as Colmap has no . The colmap bundle_adjuster command has the BundleAdjustment. I have CUDA 10. Oct 18, 2020 · I think we found that when you compile it with GPU support, it refused to run without a GPU. Apr 8, 2022 · Yes, set the use_gpu flag to 0. In fact, I have successfully tested Colmapt for extraction, matching, and mapping (sparse reconstruction) and use openmvs for dense reconstruction and meshing on a macbook without a graphics card, it has Intel processor that Feb 9, 2021 · However, when I run the same command specifying the project_path to a local project . ba_use_gpu=1. All the laptops I have access to don't have it either as it's mostly intel HD graphics. i don’t have the option to even render when i select dense reconstruction. May 6, 2025 · When using colmap or glomap mappers for bundle adjustment, you may see the error: Requested to use GPU for bundle adjustment, but Ceres was compiled without cuDSS support. cc in main branch disables the gpu. but i can select dense with the automatic reconstruction option but i still end up with no output. Colmap commit: ad7bd93. If use_gpu is true, then feature extraction is done on the GPU using the SiftGPU library. 9. Mapper with pba not using GPU · Issue #1359 · colmap/colmap. 1. I also only use sequential matching as videos benefits a lot from such processing strategy. This tutorial covers the topic of image-based 3D reconstruction by demonstrating the individual processing steps in COLMAP. Mar 7, 2024 · 稀疏重建时的GPU几乎没占用. I have tried colmap cli functions including [matches_importer, mapper, and rig_bundle_adjuster] but it seems the colmap is not using gpu but cpu. use_gpu=false for the feature extraction step). g. use_gpu (0/1) for bundle_adjuster. Note that the COLMAP packages in the default repositories for Linux/Unix/BSD do not come with CUDA support, which requires manual compilation but is relatively easy on these platforms. The project file is generated with colmap project_generator and I modified it by simply commenting all the lines not referring to valid options for the feature extraction step. However this is not expediting anything and not using the GPU as I am tracing it. i only end up with a database file, a . You signed in with another tab or window. Similarly, PyCOLMAP can run Delaunay Triangulation if COLMAP was compiled with CGAL support. i’ve been using colmap 3. Sep 4, 2024 · 本文详细描述了在Ubuntu22. The instructions you linked to are dependencies to compile in Windows. For example, if you want COLMAP-CL to use both the first device of the first platform, and the second device of the second platform, you would set gpu_index to the value 0,1001. db-wal. Furthermore, you can use most of COLMAP’s functionality with PyCOLMAP in Python. Dec 4, 2022 · THE computer RAM has displayed to taken up 64GB and more, even took up all the virtual memory, but the GPU and CPU haven't been taken up as much, why?? and finally,the virual memory and RAM are full, so the COLMAP program fails to run without generating a dense point cloud model, CAN you help me?? Should I find a way to use the GPU instead of RAM? PyCOLMAP can leverage the GPU for feature extraction, matching, and multi-view stereo if COLMAP was compiled with CUDA support. The full GPU memory is utilized, and everything works as Feb 5, 2019 · GPU: Radeon RX570 Windows 10 16G of RAM COLMAP 3. Nov 2, 2024 · It works but on extreme cases and at an enormous price, as it doesn’t even use the GPU. CUDA Building the latest version of COLMAP from source is the recommended approach. This requires to build the package from source and is not available with the PyPI wheels. Aug 9, 2018 · I'm in a similar situation, new to Colmap, using the windows precompilled with CUDA version with a 1050, and showing CPU at 25% and GPU at 0% during feature matching and reconstruction, but another OS process (Windows Desktop Manager) is using 50-80% GPU. 610661 May 27, 2022 · Let me know if you were successfully able to integrate MegBA with Colmap. Falling back to CPU-based sparse solvers. I am getting this issue which seems to be related to how my ceres solver library was compiled. 8. I am using the latest release, colmap 3. terminate called without an active exception *** Aborted at 1673342779 (unix time) try "date -d @1673342779" if you are using GNU date *** Jun 4, 2018 · No, it cannot be speeded up using the GPU. Sep 23, 2019 · virtalgl can allow colmap use gpu in docker: vglrun colmap feature_extractor --database_path --ImageReader. Running the following command reveals that the compiled version is a non-cuda: colmap help Feb 15, 2021 · Quality was pretty much identical to normal COLMAP being run on my Nvidia card, but it did take quite a bit longer (a total of about an hour and a half), and never really pushed either the CPU or GPU to their limits. It does not matter if you have a display "inside the container" (what does that mean?). COLMAP can be used as an independent application through the command-line or graphical user interface. 606418 17472 feature_extraction. Mar 1, 2025 · Describe the bug I'm using 3D dataset and need to do matching using colmap. All groups and messages Apr 9, 2024 · 问题：今天是2023年10月7日，COLMAP已经支持GPU计算一些步骤，当设备包含显卡的时候，通过sudo apt install colmap不能正常使用，导致出现SiftGPU不支持、或者需要显示器的支持。 原因：是sudo apt install colmap导致的，这种预编译的包与自己的设备显卡不适配。 Because of restrictive licenses in some of COLMAP's dependencies, if you use the GPU features of NodeCM, you cannot use NodeCM for purposes other than educational, research and non-profit without obtaining permission from the University of North Carolina at Chapel Hill. The problem is that when I run colmap, I check nvidia-smi and didn't see any process running on GPU. Alternatively, you can use COLMAP to build a custom vocabulary tree tuned for your target application. use_gpu 1. However, you can use external dense reconstruction software as an alternative, as described in the Tutorial. Hi! I have installed two NVIDIA Geforce GTX 1070TI graphic cards on a win10 maschine. In case you need more control over the individual parameters of the reconstruction process, you can execute the following sequence of commands as an alternative to the automatic reconstruction command: Dec 7, 2022 · Hi, I've got a question when using colmap. So yeah, run it with a GPU available or it can't run this part of the reconstruction process. ba_global_pba_gpu_index arguments. ba_global_use_pba 1" It does run marginally faster than without the flag, but I do not see any gpu utilization (as reported by nvidia-smi). , --SiftExtraction. single_camera=1 --SiftExtraction. The dataset is in NeRFStudio format and converted from colmap. Nov 4, 2023 · Hey everyone, I am using a VM in a private cloud with following specs Ubuntu 20. Thank you very much! Dec 11, 2023 · It is wotking absolutely fine on x86 machine but on aarch64 it is not using GPU. You signed out in another tab or window. To Reproduce Steps to reproduce the behavior: Extract features and use sequential_matcher with loop detection. The following trees are pre-built on the Flickr100k dataset. camera_model=PINHOLE --ImageReader. I'm now using colmap for sparse reconstruction, and OpenMVS for the rest. last week i changed my gpu to a rtx2080ti. 4. 5. JPG E20250117 09:32:15. You will probably need to use the CPU for feature matching as well in this case. If the gpu_index field is left at the default value of -1, COLMAP-CL will try to automatically choose the best set of OpenCL devices that it can detect on your system. Our drivers were correctly installed, but it would only run completely on the GPU node. Alternatively, COLMAP is also built as a reusable library, i. Nov 22, 2022 · The issue is I want to use colmap on a set of images, but am not sure the proper way to go about it in linux in this particular circumstance; colmap works fine in Sep 1, 2022 · I did some research online and it suggests to use PBA instead of Ceres solver, and to make PBA run on GPU, as seen from the Mapper. If you are interested in a more general and mathematical introduction to the topic of image-based 3D reconstruction, please also refer to the CVPR 2017 Tutorial on Large-scale 3D Modeling from Crowdsourced Data and [schoenberger_thesis]. My GPU has zero load. I am using colmap on a workstation without display but WITH Gpu of course, so I use the GPU(no need to turn it off) – Oct 16, 2024 · --BundleAdjustment. Look! It’s COLMAP, running to completion on an iMac (which is running Windows in bootcamp), using an AMD graphics card. , you can include and link COLMAP against your own C++ source code, as described further below. If you cannot recompile or do not have CUDA, you can always set --SiftExtraction. use_gpu to false. gpu seems not to be used. You might experience a display freeze or even a program crash during the reconstruction. The latter is CUDA enabled. So I ended up sticking with the “Standard” procedure. Jul 31, 2024 · Is it possible for using GPU acceleration when running this command? glomap mapper --database_path DATABASE_PATH --output_path OUTPUT_PATH --image_path IMAGE_PATH FYI, I have built from source colmap 3. Requested to use GPU for bundle adjustment, but Ceres was compiled without CUDA support. could that be an issue somehow? Jul 30, 2024 · mm I am not an expert but I don't think that is what it means. db-shm file and a . Please help. 3 is not configured to use cuDSS. cc:261] Name: pt1/IMG_6873. whats the matter here? i installed colmap 3 months ago while i was running a rtx1070ti. Jul 4, 2024 · There it says "colmap with cuda" But still task manager and open hardware monitor show, that only cpu is been used heavily during "matching process". This is because Ceres 2. Falling back to CPU-based dense solvers. Vocabulary trees are used for scalable matching of larger datasets. I choose correct GPU index, and GPU is used for extract features and matching. But when I set 1, it seems bundle adjustment does not run on GPU. But not that this might result in a significant slow-down of the Sep 3, 2024 · Describe the bug When COLMAP tries to do the BA using CUDA (with --Mapper. COLMAP uses the SIFT GPU library, which is released under the following Available functionality without GPU/CUDA If you do not have a CUDA-enabled GPU but some other GPU, you can use all COLMAP functionality except the dense reconstruction part. A lot of things can get great detail from 100 to 500 frames. Cannot use Sift GPU without CUDA or OpenGL support; set SiftExtraction. Additional context When I was using Colmap version from August 30th commit, I didn't have this issue I tried to go back to that commit but the build is failing so I am kinda stuck Sep 30, 2024 · Hi all, I am working with the COLMAP SfM library trying to build dense reconstructions which uses the ceres solver library. 6 commit 83700eb on 2018-10-31 without CUDA. Whe I use the GUI to do feature extraction using GPU it find 0 features for any pictures, if I force to use the CPU, I get around 10,000 feature for each of the same picture set. ERROR: Dense stereo reconstruction requires CUDA, which is not available on your system. lcr qgax vnbsdz ynk dxkjdsjz cvsg sdlt vbi eyumie ghzu