MeshroomColab.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TZh8CZsjwfD1",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "**Meshroom for GoogleColab**\n",
        "\n",
        "This is an example on how to use Meshroom in GoogleColab with uploaded images to generate a textured mesh (OBJ) that can be downloaded.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3wBFjbjIz9ZX",
        "colab_type": "text"
      },
      "source": [
        "**0. Connect to Google Drive (optional)**\n",
        "\n",
        "Paste your authorisation code and resume with Enter\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NB2T3gnb1GY4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "12ea6b64-046c-4a76-81be-6a226d4f76fd"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kpxHm8UdUpzc",
        "colab_type": "text"
      },
      "source": [
        "Create a temp folder in your istance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HIsZd9i70xVT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "outputId": "b8860bf9-5239-4383-fbd3-a0b797e77929"
      },
      "source": [
        "%cd /content\n",
        "!mkdir temp\n",
        "!mkdir meshroom\n",
        "!ls # check dir"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7kShJYbj6GS6",
        "colab_type": "text"
      },
      "source": [
        "**1. Download Meshroom 2019.2**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oDLXn_M6R-zz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%cd temp\n",
        "!wget -N https://github.com/alicevision/meshroom/releases/download/v2019.2.0/Meshroom-2019.2.0-linux.tar.gz\n",
        "!tar -xvf Meshroom-2019.2.0-linux.tar.gz -C ../meshroom"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mmSZ5le1wl1r",
        "colab_type": "text"
      },
      "source": [
        "Create folder for image upload (§ can be skipped when using Google Drive)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BP3p_lGEq69X",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "outputId": "915c1df4-72bc-4510-a6b5-4a3ede8466e3"
      },
      "source": [
        "%cd /content\n",
        "!mkdir input\n",
        "!ls # check dir"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zUd42W__QE2p",
        "colab_type": "text"
      },
      "source": [
        "**2. Upload images** (§ optional)\n",
        "\n",
        "(It is possible to link to a GoogleDrive folder instead. Just comment the following cell and use the next one.)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MpXT0L6ywoSa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%cd input\n",
        "from google.colab import files\n",
        "\n",
        "# optional upload for the images\n",
        "\n",
        "uploaded = files.upload()\n",
        "\n",
        "for fn in uploaded.keys():\n",
        "    print('User uploaded file \"{name}\" with length {length} bytes'.format( name=fn, length=len(uploaded[fn])))\n",
        "\n",
        "!ls # list uploaded images"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QMspCFLAs_K7",
        "colab_type": "text"
      },
      "source": [
        "Copy image from your drive to /content/input (§)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nlqgbqAHZbeM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# !cp -r \"/content/drive/My Drive/path/to/your/images\" /content/input"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4E_kAx-2wq3O",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "**3. Run Meshroom**\n",
        "\n",
        "The node temp files are stored in the **/tmp/MeshroomCache** folder, the **/content/out** is only for the final result.\n",
        "\n",
        "(It is possible to use a Meshroom graph file (.mg) with costumized parameters and nodes instead of the following default pipeline. Might be added to this notepad in the future)\n",
        "\n",
        "When using Google Drive, provide the path to your image folder: --input YOUR/IMAGEs/FOLDER/PATH (the easiest solution is to create a input folder in ./yourprojectfolder/meshroom/Meshroom-2019.2.0/meshroom_photogrammetry with all your images)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3GimHqrGwsmu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!mkdir out\n",
        "!/content/meshroom/Meshroom-2019.2.0/meshroom_photogrammetry --input /content/input --output out"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "49aKN-I0Oddu",
        "colab_type": "text"
      },
      "source": [
        "**4. Preview Mesh using Trimesh (optional)** \n",
        "\n",
        "This is experimental and not optimized"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uY7p1hKj81Uq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "f7270208-2bc2-47c3-8e11-fbb81e823a53"
      },
      "source": [
        "!pip install numpy"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JjZ84tdLRi9b",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install trimesh"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "exhdh1bu_8VY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "0d587e70-65cc-4fdb-ead5-44d30fe1ab48"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9SwOo0WCRtmw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "35b0665b-76f3-4966-f7f9-dfabbdba3a81"
      },
      "source": [
        "%cd out"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kTYgiJauVF26",
        "colab_type": "text"
      },
      "source": [
        "Start preview"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fWi3nrpn8_ZT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import trimesh\n",
        "mesh = trimesh.load_mesh('texturedMesh.obj')\n",
        "mesh.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dV3uF6ZmCX-x",
        "colab_type": "text"
      },
      "source": [
        "Read https://trimsh.org/examples/quick_start.html for details\n",
        "\n",
        "**Before downloading, change back to the contents folder:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-6dc2xQ8SJYT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "77a89d5b-88d0-4c79-bff0-692fc2005180"
      },
      "source": [
        "%cd ../"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_EZJtblswuZy",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "**5. Download**\n",
        "\n",
        "Use the prefered download format (tar.gz or zip)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IirusdKJwz-6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!tar -czvf out.tar.gz ./out\n",
        "from google.colab import files\n",
        "\n",
        "\n",
        "files.download('out.tar.gz')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VQ8F_rxPw4dK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!zip -r out.zip ./out\n",
        "files.download('out.zip')"
      ],
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "name": "MeshroomColab.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}

@paramphy The notepad is now updated

Hi,
I'm new to meshroom as well as python.
I want to upload photos to a google drive folder and get those to meshroom instead of uploading files from pc every time I try to use meshroom.
Could you please reply with code to do that? Thanks in advance!

@mmfineart Added Google Drive support (not fully tested, but should work)

!git clone --recursive git://github.com/alicevision/meshroom %cd meshroom !pip install -r requirements.txt

@natowi thanks for the work!

Acutally as nothing really worked for me, I changed the script to the following. Working for me with G-Drive and the the release file.
https://github.com/somedevelopment/Meshroom_Colab_BIN_GDRIVE

I´ll take a look at the google drive loading problem. Maybe I will also split the script and create two versions.

Thanks for the good work.

I also have the symlink problem as noted here: alicevision/Meshroom#735 when working with Google Drive. It works fine if I don't mount the Drive.

I'm very new to this, but do you think this could be related to the Drive being used primarily by a Windows (not Linux) machine?

Today I tried installing Meshroom in the 'content' folder and that worked fine. I then mounted the G-drive and ran Meshroom with input and output saved to the G-drive while the install was in the 'content' folder. That worked fine.

Very simple to copy pictures from Drive ...

Change

from google.colab import files

# optional upload for the images

uploaded = files.upload()

for fn in uploaded.keys():
    print('User uploaded file "{name}" with length {length} bytes'.format( name=fn, length=len(uploaded[fn])))

to:

cp -a '/content/drive/My Drive/Meshroom/.' .

Replace Meshroom with the name of your folder in Google Drive

Hello , I've followed all steps of your solution but it didn't work out. I am facing the same error while extracting the tar file. I ignored it and and tried to binary directly. But it also failed (error code 127) . So I opened a new issue (alicevision/Meshroom#789)
Can you please help me out?
Thanks in advance.

You can use the previous version (without google drive) or this until I have some time to fix this notebook.

Thanks I managed to run meshroom successfully.

How should I create .mg file and put it into this notebook to run my pipeline?

@Geksaedr Instead of meshroom_photogrammetry --input ./input --output ./out you can use meshroom_compute GRAPHFILE.mg [--node NODE_NAME] [--toNode NODE_NAME] [--cache FOLDER]
You can generate the Graph File in the Meshroom GUI on your computer, but you need to adjust the paths in the .mg file to match your colab folder structure.

I think a better solution to avoid untar problems (symlink etc) is just to use colab istance directory instead of mounted drive. I forked this notebook and applied this change here. It works fine

@raphael2692 Thanks, I was working on other projects and forgot to fix this notebook. I took the liberty to apply your changes :)

glad to help 😄

Hey I have a problem, when i uploaded or mounted my drive with the pics, it says input: format not supported. The images are jpg and according to meshroom itself it should work?

Also having the same issue as @shelter

That´s strange...

Actually, I think the issue was the files themselves. Meshroom does not like it when you include files with unknown EXIF metadata parameters. I was able to use images taken with my smartphone by stripping the metadata before I uploaded them to the drive. Perhaps it would be useful in the file upload part of this to strip the metadata or perform a check to ensure only supported metadata parameters are included. That is a bit beyond the scope of what i'm trying to do but I was able to strip metadata with this:

from PIL import Image

image = Image.open('image_file.jpeg')

# next 3 lines strip exif
data = list(image.getdata())
image_without_exif = Image.new(image.mode, image.size)
image_without_exif.putdata(data)

image_without_exif.save('image_file_without_exif.jpeg')

Yes, there can be issues with unsupported or corrupted metadata and unsupported characters/paths https://github.com/alicevision/meshroom/wiki/Images-cannot-be-imported

Thanks for the response. I checked with my image all the things wiki told me to do and there was no problem, I also used the sample dataset from meshroom and it still produces the same error

Sorry I dont know anything about coding. I replaced the line with yours in bracket for running meshroom but it gave me this error message meshroom_photogrammetry: error: unrecognized arguments: /content/out

Sorry I dont know anything about coding. I replaced the line with yours in bracket for running meshroom but it gave me this error message meshroom_photogrammetry: error: unrecognized arguments: /content/out

No worries, navigating the filesystem in colab could be tricky.

Try to always check the path by right clicking on the sidebar and always use double quotes.

E.g.

!/content/meshroom/Meshroom-2019.2.0/meshroom_photogrammetry --input "/content/input" --output "/content/out"

Thanks you so much for your help. I should have read the last bracket really consciously. I didn't get that I need to copy my own paths in the last line, worked yesterday fine when i did it.

Hey I have a problem, when i uploaded or mounted my drive with the pics, it says input: format not supported.

There is a typo in the Colab. It should be --input /content/input, not --input input

Hello everyone

I have tried all the steps one by one but all the time i am receiving the same error , i have tried with all image formats but still the issue is same can you please help me in that , I am running this code in colab.

`Plugins loaded: CameraCalibration, CameraInit, CameraLocalization, CameraRigCalibration, CameraRigLocalization, ConvertSfMFormat, DepthMap, DepthMapFilter, ExportAnimatedCamera, ExportColoredPointCloud, ExportMaya, FeatureExtraction, FeatureMatching, ImageMatching, ImageMatchingMultiSfM, KeyframeSelection, LDRToHDR, MeshDecimate, MeshDenoising, MeshFiltering, MeshResampling, Meshing, PrepareDenseScene, Publish, SfMAlignment, SfMTransform, StructureFromMotion, Texturing
Program called with the following parameters:

• allowSingleView = 1
• defaultCameraModel = "" (default)
• defaultFieldOfView = 45
• defaultFocalLengthPix = -1 (default)
• defaultIntrinsic = "" (default)
• groupCameraFallback = Unknown Type "20EGroupCameraFallback"
• imageFolder = "" (default)
• input = "/tmp/tmpfuclkad5/CameraInit/c448939571d5c70b05c9ae4ad416ada37d6273ca//viewpoints.sfm"
• output = "/tmp/tmpfuclkad5/CameraInit/c448939571d5c70b05c9ae4ad416ada37d6273ca/cameraInit.sfm"
• sensorDatabase = "/content/meshroom/Meshroom-2019.2.0/aliceVision/share/aliceVision/cameraSensors.db"
• verboseLevel = "info"

[11:38:41.909878][warning] Image 'shirt0_b.jpg' focal length (in mm) metadata is missing.
Can't compute focal length (px), use default.

[11:38:41.910090][warning] Some image(s) have no serial number to identify the camera/lens device.
This makes it impossible to correctly group the images by device if you have used multiple identical (same model) camera devices.
The reconstruction will assume that only one device has been used, so if 2 images share the same focal length approximation they will share the same internal camera parameters.
1 image(s) are concerned.
[11:38:41.910877][info] CameraInit report:
- # views listed: 1
- # views with an initialized intrinsic listed: 1
- # views without metadata (with a default intrinsic): 1
- # intrinsics listed: 1
Nodes to execute: ['CameraInit_1', 'FeatureExtraction_1', 'ImageMatching_1', 'FeatureMatching_1', 'StructureFromMotion_1', 'PrepareDenseScene_1', 'DepthMap_1', 'DepthMapFilter_1', 'Meshing_1', 'MeshFiltering_1', 'Texturing_1', 'Publish_1']

[1/12] CameraInit

• commandLine: aliceVision_cameraInit --sensorDatabase "/content/meshroom/Meshroom-2019.2.0/aliceVision/share/aliceVision/cameraSensors.db" --defaultFieldOfView 45.0 --groupCameraFallback folder --verboseLevel info --output "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm" --allowSingleView 1 --input "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22//viewpoints.sfm"
• logFile: /tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/log
• elapsed time: 0:00:00.060493

[2/12] FeatureExtraction

• commandLine: aliceVision_featureExtraction --input "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm" --describerTypes sift --describerPreset normal --forceCpuExtraction True --verboseLevel info --output "/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7" --rangeStart 0 --rangeSize 40
• logFile: /tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7/0.log
• elapsed time: 0:00:10.666615

[3/12] ImageMatching

• commandLine: aliceVision_imageMatching --input "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm" --featuresFolders "/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7" --tree "/content/meshroom/Meshroom-2019.2.0/aliceVision/share/aliceVision/vlfeat_K80L3.SIFT.tree" --weights "" --minNbImages 200 --maxDescriptors 500 --nbMatches 50 --verboseLevel info --output "/tmp/MeshroomCache/ImageMatching/3db36665850427e4e77eb13e0f08f03b4f261a88/imageMatches.txt"
• logFile: /tmp/MeshroomCache/ImageMatching/3db36665850427e4e77eb13e0f08f03b4f261a88/log
• elapsed time: 0:00:00.228712

[4/12] FeatureMatching

• commandLine: aliceVision_featureMatching --input "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm" --featuresFolders "/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7" --imagePairsList "/tmp/MeshroomCache/ImageMatching/3db36665850427e4e77eb13e0f08f03b4f261a88/imageMatches.txt" --describerTypes sift --photometricMatchingMethod ANN_L2 --geometricEstimator acransac --geometricFilterType fundamental_matrix --distanceRatio 0.8 --maxIteration 2048 --geometricError 0.0 --maxMatches 0 --savePutativeMatches False --guidedMatching False --exportDebugFiles False --verboseLevel info --output "/tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204" --rangeStart 0 --rangeSize 20
• logFile: /tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204/0.log
• elapsed time: 0:00:00.049744

[5/12] StructureFromMotion

• commandLine: aliceVision_incrementalSfM --input "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm" --featuresFolders "/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7" --matchesFolders "/tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204" --describerTypes sift --localizerEstimator acransac --localizerEstimatorMaxIterations 4096 --localizerEstimatorError 0.0 --lockScenePreviouslyReconstructed False --useLocalBA True --localBAGraphDistance 1 --maxNumberOfMatches 0 --minInputTrackLength 2 --minNumberOfObservationsForTriangulation 2 --minAngleForTriangulation 3.0 --minAngleForLandmark 2.0 --maxReprojectionError 4.0 --minAngleInitialPair 5.0 --maxAngleInitialPair 40.0 --useOnlyMatchesFromInputFolder False --useRigConstraint True --lockAllIntrinsics False --initialPairA "" --initialPairB "" --interFileExtension .abc --verboseLevel info --output "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/sfm.abc" --outputViewsAndPoses "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/cameras.sfm" --extraInfoFolder "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893"
• logFile: /tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/log
• elapsed time: 0:00:00.078160
  ERROR:root:Error on node computation: Error on node "StructureFromMotion_1":
  Log:
  Program called with the following parameters:

• describerTypes = "sift"
• extraInfoFolder = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893"
• featuresFolders = = [/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7]
• initialPairA = ""
• initialPairB = ""
• input = "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm"
• interFileExtension = ".abc"
• localBAGraphDistance = 1
• localizerEstimator = Unknown Type "N11aliceVision16robustEstimation16ERobustEstimatorE"
• localizerEstimatorError = 0
• localizerEstimatorMaxIterations = 4096
• lockAllIntrinsics = 0
• lockScenePreviouslyReconstructed = 0
• matchesFolders = = [/tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204]
• maxAngleInitialPair = 40
• maxNumberOfMatches = 0
• maxReprojectionError = 4
• minAngleForLandmark = 2
• minAngleForTriangulation = 3
• minAngleInitialPair = 5
• minInputTrackLength = 2
• minNumberOfObservationsForTriangulation = 2
• output = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/sfm.abc"
• outputViewsAndPoses = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/cameras.sfm"
• useLocalBA = 1
• useOnlyMatchesFromInputFolder = 0
• useRigConstraint = 1
• useTrackFiltering = 1 (default)
• verboseLevel = "info"

Loading features
0% 10 20 30 40 50 60 70 80 90 100%
|----|----|----|----|----|----|----|----|----|----|
[11:38:53.086174][info] Supported CUDA-Enabled GPU detected.

---

[11:38:53.087798][warning] No matches file loaded in: /tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204
[11:38:53.087856][warning] - /tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204

[11:38:53.087880][error] Unable to load matches.

WARNING: downgrade status on node "PrepareDenseScene_1(0)" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "DepthMap_1(0)" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "DepthMapFilter_1(0)" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "Meshing_1" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "MeshFiltering_1" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "Texturing_1" from Status.SUBMITTED to Status.NONE
WARNING: downgrade status on node "Publish_1" from Status.SUBMITTED to Status.NONE
Traceback (most recent call last):
File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/cx_Freeze/initscripts/startup.py", line 14, in run
File "/opt/Meshroom/setupInitScriptUnix.py", line 39, in run
File "bin/meshroom_photogrammetry", line 144, in
File "/opt/Meshroom/meshroom/core/graph.py", line 1131, in executeGraph
File "/opt/Meshroom/meshroom/core/node.py", line 274, in process
File "/opt/Meshroom/meshroom/core/desc.py", line 453, in processChunk
RuntimeError: Error on node "StructureFromMotion_1":
Log:
Program called with the following parameters:

• describerTypes = "sift"
• extraInfoFolder = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893"
• featuresFolders = = [/tmp/MeshroomCache/FeatureExtraction/ed56ccf2ed755df819eb6e8e0403eb4eb4b5d9f7]
• initialPairA = ""
• initialPairB = ""
• input = "/tmp/MeshroomCache/CameraInit/232be0b607cc30746c5e4c170ed2b92b93706d22/cameraInit.sfm"
• interFileExtension = ".abc"
• localBAGraphDistance = 1
• localizerEstimator = Unknown Type "N11aliceVision16robustEstimation16ERobustEstimatorE"
• localizerEstimatorError = 0
• localizerEstimatorMaxIterations = 4096
• lockAllIntrinsics = 0
• lockScenePreviouslyReconstructed = 0
• matchesFolders = = [/tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204]
• maxAngleInitialPair = 40
• maxNumberOfMatches = 0
• maxReprojectionError = 4
• minAngleForLandmark = 2
• minAngleForTriangulation = 3
• minAngleInitialPair = 5
• minInputTrackLength = 2
• minNumberOfObservationsForTriangulation = 2
• output = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/sfm.abc"
• outputViewsAndPoses = "/tmp/MeshroomCache/StructureFromMotion/7a3ed6fdabee6e7bf1f90a968b38d938db562893/cameras.sfm"
• useLocalBA = 1
• useOnlyMatchesFromInputFolder = 0
• useRigConstraint = 1
• useTrackFiltering = 1 (default)
• verboseLevel = "info"

Loading features
0% 10 20 30 40 50 60 70 80 90 100%
|----|----|----|----|----|----|----|----|----|----|
[11:38:53.086174][info] Supported CUDA-Enabled GPU detected.

---

[11:38:53.087798][warning] No matches file loaded in: /tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204
[11:38:53.087856][warning] - /tmp/MeshroomCache/FeatureMatching/e2816c11ae36004f2ee109f0bbf26cafab819204

[11:38:53.087880][error] Unable to load matches.
`

thanks

@ayushgupta9198 you can solve problem?

@i2rlabs Yes it was solved