A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"
Home Page: http://www-inst.eecs.berkeley.edu/~cs294-6/fa06/papers/nister_stewenius_cvpr2006.pdf
Outcome: a document with all the required configurations, and an email to Inka 2 weeks before the start of the session.
Consider using torch-sift, cv2 or numpy-sift.
This includes setting the repository and how we include the code from these libraries
At the moment the ftp server does not provide the size of the files to download.
We need to hard code the sizes
I would say we split the session in parts and assign a time to each part.
Given a total of 90 minutes, we plan for 80 minutes and leave a 10 minutes buffer:
Time 00:10: 10 minutes setup, problems, contingenciesTime 00:15: 5 minutes describing the problemTime 00:40: 25 minutes SIFTTime 00:65: 25 minutes Vocabulary treeTime 00:80: 15 minutes DCNN for features extraction@RPFeynman what do you think?
We will setup all the following modalities and use them in order of priority:
I'm struggling to find a set of parameters for MSER which makes it work well on natural scenes and "artificial" ones (like houses, indoor, text, etc). I wonder how much fine-tuning such method needs.
In any case, once the entire pipeline is ready we should do this.
A reminder to fix the yml file with the correct python version.
Pytorch can't be installed on python 3.10, which is the default now if the yml file is used to construct the environment (see pytorch/pytorch#66424 )
Error:
$ conda env create -f env/sberbank_unix.yml
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.1
latest version: 4.11.0
Please update conda by running
$ conda update -n base -c defaults conda
Downloading and Extracting Packages
fontconfig-2.12.6 | 221 KB | ##################################### | 100%
pango-1.42.0 | 458 KB | ##################################### | 100%
pygraphviz-1.7 | 181 KB | ##################################### | 100%
pcre-8.45 | 207 KB | ##################################### | 100%
freetype-2.8 | 542 KB | ##################################### | 100%
jpeg-9d | 232 KB | ##################################### | 100%
expat-2.4.1 | 168 KB | ##################################### | 100%
harfbuzz-1.7.6 | 474 KB | ##################################### | 100%
glib-2.69.1 | 1.7 MB | ##################################### | 100%
zstd-1.4.9 | 480 KB | ##################################### | 100%
pixman-0.40.0 | 373 KB | ##################################### | 100%
graphviz-2.40.1 | 6.5 MB | ##################################### | 100%
lz4-c-1.9.3 | 185 KB | ##################################### | 100%
cairo-1.14.12 | 905 KB | ##################################### | 100%
libxml2-2.9.12 | 1.2 MB | ##################################### | 100%
certifi-2021.5.30 | 148 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing pip dependencies: \ Ran pip subprocess with arguments:
['/home/antonio/anaconda3/envs/cbir/bin/python', '-m', 'pip', 'install', '-U', '-r', '/home/antonio/repos/scalable-recognition-with-a-vocabulary-tree/env/condaenv.u72yw4q5.requirements.txt']
Pip subprocess output:
Collecting future
Downloading future-0.18.2.tar.gz (829 kB)
Collecting h5py
Downloading h5py-3.6.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB)
Collecting jupyterlab
Using cached jupyterlab-3.2.8-py3-none-any.whl (8.5 MB)
Collecting ipywidgets
Using cached ipywidgets-7.6.5-py2.py3-none-any.whl (121 kB)
Collecting matplotlib
Using cached matplotlib-3.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.9 MB)
Collecting termcolor
Using cached termcolor-1.1.0.tar.gz (3.9 kB)
Collecting networkx
Using cached networkx-2.6.3-py3-none-any.whl (1.9 MB)
Collecting pandas
Using cached pandas-1.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.5 MB)
Pip subprocess error:
ERROR: Could not find a version that satisfies the requirement torch (from versions: none)
ERROR: No matching distribution found for torch
failed
CondaEnvException: Pip failed
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