@Kai-46 How to enable --use_srtm4 option in command?

On writing this command I am getting the error.

Command written:

python3 satellite_sfm.py --input_folder /Users/jaskiratsingh/IIIT-Hyderabad-Research/SatelliteSfM_Input_Images --output_folder /Users/jaskiratsingh/IIIT-Hyderabad-Research/SatelliteSfM_Output_Image --run_sfm [--use_srtm4] [--enable_debug]

Error:

zsh: no matches found: [--use_srtm4]

Can you help me know how can I resolve this?

Thanks!

Hello,

I am running into some problems when calling install_colmapforvissat.sh

At first, everything seems fine and it starts building and downloading different components, like ceres and such. However, when it reaches the moment of building colmap_cuda, it runs into the following error:

[ 25%] Built target colmap_cuda [ 26%] Building C object lib/VLFeat/CMakeFiles/vlfeat.dir/scalespace.c.o In file included from /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.h:21, from /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:363: /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c: In function ‘_vl_kmeans_quantize_f’: /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/mathop.h:92:37: error: ‘vl_infinity_d’ not specified in enclosing ‘parallel’ 92 | #define VL_INFINITY_D (vl_infinity_d.value) | ~~~~~~~~~~~~~~^~~~~~~ /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:685:34: note: in expansion of macro ‘VL_INFINITY_D’ 685 | TYPE bestDistance = (TYPE) VL_INFINITY_D ; | ^~~~~~~~~~~~~ In file included from /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:1782: /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:672:9: error: enclosing ‘parallel’ 672 | #pragma omp parallel default(none)
| ^~~ In file included from /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:1788: /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c: In function ‘_vl_kmeans_quantize_d’: /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:685:27: error: ‘vl_infinity_d’ not specified in enclosing ‘parallel’ 685 | TYPE bestDistance = (TYPE) VL_INFINITY_D ; /home/guri_ar/3drend/SatelliteSfM/preprocess_sfm/ColmapForVisSat/lib/VLFeat/kmeans.c:672:9: error: enclosing ‘parallel’ 672 | #pragma omp parallel default(none)
| ^~~ make[2]: *** [lib/VLFeat/CMakeFiles/vlfeat.dir/build.make:258: lib/VLFeat/CMakeFiles/vlfeat.dir/kmeans.c.o] Error 1 make[2]: *** Waiting for unfinished jobs.... make[1]: *** [CMakeFiles/Makefile2:902: lib/VLFeat/CMakeFiles/vlfeat.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs.... [ 56%] Built target colmap make: *** [Makefile:141: all] Error 2 Command failed: cmake --build . --target install --config Release -- -j8

I have tried to build it myself from source by running cmake and then make and it run into the same problem. My cmake configuration is able to detect my CUDA config and seems to work fine.

My specs are:

Ubuntu 20.04 gcc g++ version 9 nvcc version 11.3 cmake version 3.10 Libboost version 1.71.0

Many thanks in advance for your help and this great project !!

Hi Kai,

I had some time and implemented ColmapForVisSat using git patch. I was able to re-create some satellite reconstructions using the latest Colmap version.

Best regards, Sebastian

Hi Kai, Thanks for providing this awesome repo ! Recently, we want to use some satellite images to finish remote sensing large-scale city reconstruction. And we find the effect of JAX_166_compressed.mp4 is very meet our need. But we can't find any certainly content of downstream algorithm description you adopted. Is Neus or MVS ? Can you give us some helps ? We also want to obtain similar results from you.

hi, thanks for this amazing repo, but I do have some more questions,

1. how to get more tiff datas? I do want to generate more imgs
2. how to get latlonalt_bbx parameters, this is a known parameter? seems that you use the inside value to create camera parameters.
3. how do you generate the videos like "./readme_resources/novel_view.gif" "https://user-images.githubusercontent.com/21653654/153779703-36b50265-ae3b-41ac-8139-2e0bf081f28d.mp4" hope that you can add more scripts.

thanks!

Hi Kai,

I've been noticed the input dataset are .tif images encoding the 3-channel uint8 RGB colors. But now, I have my own PAN dataset that have only one channel the detail are as followed:

• PAN_SEN_PWOI_000004990_1_2_F_1_RPC.TXT
• DIM_PAN_SEN_PWOI_000004990_1_2_F_1.XML
• PAN_SEN_PWOI_000004990_1_2_F_1_P_R2C1.TFW
• IMG_PAN_SEN_PWOI_000004990_1_2_F_1_P_R2C1.TIF
• PREVIEW_PAN_SEN_PWOI_000004990_1_2_F_1.jpg
• RPC_PAN_SEN_PWOI_000004990_1_2_F_1.XML

The .TIF are PAN image with one channel. I tried to revise the code with np.expand_dims to expand the channel from 1 to 3 and commend out date_time. When run python satellite_sfm.py --input_folder examples/my_own_data --output_folder examples/outputs_my_own_data --run_sfm --use_srtm4, I got the following bug:

bug.txt

So, I wondered how can I apply the code on my own PAN dataset? Or just have something run? Cause I dont know how to set the latlonalt_bbx.json but to use the flag --use_srtm4.

Thank you so much

Hey,

I used ColmapForVisSatPatched during Installation, but encountered some errors I believe are due to a newer Colmap Version being used than in the original ColmapForVisSat.

In detail:

1. The python scripts are contained inside Colmap/scripts/python, but SateliteSfM expects these to be inside preprocess_sfm/colmap/.
2. The read_model.py script has been renamed to read_write_model.py (relevant commit). SatelliteSfM still expects this file to be named read_model.py, so i had to manually rename it.

After these changes everything seems to work as expected, the sample provided runs through without any issues.

Best regards, Valentin