Photogrammetry 101 with Harman: Difference between revisions
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41 images of a Black and Decker Cordless Drill have been taken for use with COLMAP | 41 images of a Black and Decker Cordless Drill have been taken for use with COLMAP | ||
A 'Sparse' point-cloud reconstruction was achieved using only a CPU since the GPUs wouldn't work | |||
However, only a 'Dense' point-cloud can be exported as a mesh for use in MeshLab. This requires a CUDA enabled GPU, which I have and can install | |||
An alternative is to attempt to construct a mesh from the 'Sparse' point cloud we have generated using another open source program called OpenMVS. | |||
===Next Steps=== | |||
Check with Marcin whether to continue by installing CUDA API for my Nvidia GPU, or to attempt mesh reconstruction from sparse point-cloud with OpenMVS pipeline | |||
==Past Work== | |||
Was unable to get COLMAP to carry out a reconstruction using the GPU on the following machines: | |||
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I have had some success with COLMAP analyzing images and finding features using the CPU only (no GPU) on my custom AMD and Intel builds. This has been running for 8.5 hours today, and I don't know if it will be done in a reasonable amount of time because the CPU is much slower at image analysis than the GPU pipeline. | I have had some success with COLMAP analyzing images and finding features using the CPU only (no GPU) on my custom AMD and Intel builds. This has been running for 8.5 hours today, and I don't know if it will be done in a reasonable amount of time because the CPU is much slower at image analysis than the GPU pipeline. | ||
Revision as of 19:02, 7 August 2018
Current Progress
41 images of a Black and Decker Cordless Drill have been taken for use with COLMAP
A 'Sparse' point-cloud reconstruction was achieved using only a CPU since the GPUs wouldn't work
However, only a 'Dense' point-cloud can be exported as a mesh for use in MeshLab. This requires a CUDA enabled GPU, which I have and can install
An alternative is to attempt to construct a mesh from the 'Sparse' point cloud we have generated using another open source program called OpenMVS.
Next Steps
Check with Marcin whether to continue by installing CUDA API for my Nvidia GPU, or to attempt mesh reconstruction from sparse point-cloud with OpenMVS pipeline
Past Work
Was unable to get COLMAP to carry out a reconstruction using the GPU on the following machines:
PC: Sony Vaio Laptop
OS: Ubuntu 18.04
CPU: Intel i5-2540M
GPU: Radeon 6630M
Notes: GUI crashes to terminal with SIGABRT error when attempting reconstruction
PC: Custom AMD
OS: Ubuntu 18.04
CPU:AMD FX-6300
GPU: AMD Vega FE
Notes: GUI crashes to terminal with SIGABRT error when attempting reconstruction
PC: Custom AMD
OS: Windows 10
CPU: AMD FX-6300
GPU: AMD Vega FE
Notes: Reconstruction analyzes images but finds no features to match
PC: Custom Intel
OS: Ubuntu 18.04
CPU: Intel i5-3570K
GPU: EVGA GTX 970
Notes: Same crash as others
I have had some success with COLMAP analyzing images and finding features using the CPU only (no GPU) on my custom AMD and Intel builds. This has been running for 8.5 hours today, and I don't know if it will be done in a reasonable amount of time because the CPU is much slower at image analysis than the GPU pipeline.