# Help on htm vision problem

**URL:** <https://discourse.numenta.org/t/help-on-htm-vision-problem/1818>\
**Category:** NuPIC\
**Created:** [January 23, 2017, 5:38pm UTC](https://discourse.numenta.org/t/help-on-htm-vision-problem/1818 "2017-01-23T17:38:02Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![afee](https://avatars.discourse-cdn.com/v4/letter/a/a87d85/32.png) [@afee](https://discourse.numenta.org/u/afee)\
**Post date:** [January 23, 2017, 5:38pm UTC](https://discourse.numenta.org/t/help-on-htm-vision-problem/1818/1 "2017-01-23T17:38:02Z")

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Hi all,

I am interested in using HTM for invariant object recognition. I read the theory of both generations of HTM algorithm(zeta1 and CLA). I think zeta1 is more suitable for rotation/pose invariant object recognition. But, nupic 1.7.1 is not available at [http://www.numenta.com/legacysoftware.php](http://www.numenta.com/legacysoftware.php) now. Is it possible to use CLA for this purpose?

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**Author:** ![rhyolight](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/rhyolight/32/3922_2.png) [@rhyolight](https://discourse.numenta.org/u/rhyolight)\
**Post date:** [January 23, 2017, 5:49pm UTC](https://discourse.numenta.org/t/help-on-htm-vision-problem/1818/2 "2017-01-23T17:49:21Z")

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> [@afee](#):
>
> Is it possible to use CLA for this purpose?

You can try, we have a repo with our vision code at [https://github.com/numenta/nupic.vision](https://github.com/numenta/nupic.vision). But this is not our current focus. Be sure to search the forums for more info. Here is a good topic:

> [@MNIST test problem](https://discourse.numenta.org/t/mnist-test-problem/1153/):
>
> Hi, I am working now on image\_test at nupic.research/projects for MNIST classification. By running experiment: python [experiment.py](http://experiment.py) I have got the following error: ERR: Matching Python module for ImageSensor not found. [/home/binh/nupic/nupic.core/src/nupic/engine/RegionImplFactory.cpp line 431] Could you pls tell me, where can I import the module ImageSensor? Best thanks, Binh