Colab Notebook Throws Error: No such file or directory: 'datasets/lego_ds2/images

[eyildiz-ugoe]

The given Colab notebook does not proceed after a point, complaining about the image path.

/content/neuralangelo
ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 70.100 / 56. 70.100
  libavcodec     58.134.100 / 58.134.100
  libavformat    58. 76.100 / 58. 76.100
  libavdevice    58. 13.100 / 58. 13.100
  libavfilter     7.110.100 /  7.110.100
  libswscale      5.  9.100 /  5.  9.100
  libswresample   3.  9.100 /  3.  9.100
  libpostproc    55.  9.100 / 55.  9.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'lego.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf59.16.100
  Duration: 00:00:08.00, start: 0.000000, bitrate: 2181 kb/s
  Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 800x800, 2178 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[swscaler @ 0x555e38da5140] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to 'datasets/lego_ds2/images_raw/%06d.jpg':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.76.100
  Stream #0:0(und): Video: mjpeg, yuvj420p(pc, progressive), 800x800, q=2-31, 200 kb/s, 25 fps, 25 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc58.134.100 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
frame=  100 fps= 57 q=2.0 Lsize=N/A time=00:00:07.96 bitrate=N/A speed=4.58x    
video:7275kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
colmap: error while loading shared libraries: libcudart.so.11.0: cannot open shared object file: No such file or directory
colmap: error while loading shared libraries: libcudart.so.11.0: cannot open shared object file: No such file or directory
colmap: error while loading shared libraries: libcudart.so.11.0: cannot open shared object file: No such file or directory
cp: cannot stat 'datasets/lego_ds2/sparse/0/*.bin': No such file or directory
projects/neuralangelo/scripts/run_colmap.sh: line 34: [: too many arguments
colmap: error while loading shared libraries: libcudart.so.11.0: cannot open shared object file: No such file or directory
Traceback (most recent call last):
  File "/content/neuralangelo/projects/neuralangelo/scripts/convert_data_to_json.py", line 226, in <module>
    data_to_json(args)
  File "/content/neuralangelo/projects/neuralangelo/scripts/convert_data_to_json.py", line 191, in data_to_json
    cameras, images, points3D = read_model(os.path.join(args.data_dir, "sparse"), ext=".bin")
  File "/content/neuralangelo/third_party/colmap/scripts/python/read_write_model.py", line 435, in read_model
    cameras = read_cameras_binary(os.path.join(path, "cameras" + ext))
  File "/content/neuralangelo/third_party/colmap/scripts/python/read_write_model.py", line 134, in read_cameras_binary
    with open(path_to_model_file, "rb") as fid:
FileNotFoundError: [Errno 2] No such file or directory: 'datasets/lego_ds2/sparse/cameras.bin'
Traceback (most recent call last):
  File "/content/neuralangelo/projects/neuralangelo/scripts/generate_config.py", line 83, in <module>
    generate_config(args)
  File "/content/neuralangelo/projects/neuralangelo/scripts/generate_config.py", line 30, in generate_config
    num_images = len(os.listdir(os.path.join(args.data_dir, "images")))
FileNotFoundError: [Errno 2] No such file or directory: 'datasets/lego_ds2/images'
---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
[<ipython-input-10-c6918c4a57dd>](https://localhost:8080/#) in <cell line: 14>()
     12 # Check whether we have 100 images registered.
     13 import os
---> 14 num_images = len(os.listdir(f"{colmap_path}/images"))
     15 print("----------------------------------------")
     16 print(f"Number of registered images: {num_images}")

FileNotFoundError: [Errno 2] No such file or directory: 'datasets/lego_ds2/images'

[prd-hung-trinh]

Hi, I think this solution can help you:

Firstly, you must switch to CUDA 11.x (suggest 11.7 in my experiment). Please run this command before you install COLMAP:

!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
!mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
!wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda-repo-ubuntu2204-11-7-local_11.7.0-515.43.04-1_amd64.deb
!dpkg -i cuda-repo-ubuntu2204-11-7-local_11.7.0-515.43.04-1_amd64.deb
!cp /var/cuda-repo-ubuntu2204-11-7-local/cuda-*-keyring.gpg /usr/share/keyrings/
!apt-get update
!apt-get -y install cuda-11-7
!update-alternatives --set cuda /usr/local/cuda-11.7

Now, you can install COLMAP, good luck!