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snakers4 @ telegram, 1812 members, 1759 posts since 2016

All this - lost like tears in rain.

Data science, ML, a bit of philosophy and math. No bs.

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Posts by tag «computer_vision»:

snakers4 (Alexander), October 22, 2018

Amazing articles about image hashing

Also a python library

- Library

- Articles:




A Python Perceptual Image Hashing Module. Contribute to JohannesBuchner/imagehash development by creating an account on GitHub.

Text iterators in PyTorch

Looks like PyTorch has some handy data-processing / loading tools for text models -

It is explained here - - how to use them with pack_padded_sequence and pad_packed_sequence to boost PyTorch NLP models substantially.



snakers4 (Alexander), April 10, 2018

Yolov3 - best paper.

But not in terms of scientific contribution, but rebuttal of DS community BS.

Very funny read.


If you want a proper comparison of object detection algorithms - use this paper

Looks like SSD and YOLO are reasonably good and fast, and RCNN can be properly tuned to be 3-5x slower (not 100x) and more accurate.



Download YOLOv3.pdf 2.14 MB

snakers4 (Alexander), January 09, 2018

When I started doing CV - this page was quite scarce.

Now it's full and amazing!

I recommend this page as your go-to reference for already implemented non CNN based (classic) CV. It is just amazing. Simple and illustrative examples with code.

This totally eliminates the need in open-cv abomination =)

Best libraries for images I have seen so far

- pillow (pillow simd)

- skimage

- imageio

- scikit video

- moviepy



snakers4 (Alexander), January 02, 2018

Interesting dataset with room layouts (a lot of them)




Pillow-SIMD is a Pillow fork, that claims 3-6x faster performance on CPU using same resources



It claims to be this easy

$ pip uninstall pillow
$ CC="cc -mavx2" pip install -U --force-reinstall pillow-simd



The friendly PIL fork. Contribute to uploadcare/pillow-simd development by creating an account on GitHub.


Ускорение операций в 2.5 раза по сравнению с Pillow и в 10 по сравнению с ImageMagick Pillow-SIMD — это «форк-последователь» библиотеки работы с изображениями...

snakers4 (Alexander), October 29, 2017

Судя по прошлому опросу просили полнотекстовую статью.

В прошлый раз по итогу конкурса сил хватило только на пост на канале. В этот раз я разродился чутка причесать код, выложить тетрадки и написать целый длинный блог пост. По сути было весело:

- новый домен - видео - и сгенерирована тонна копипасты для работы с ним в тетрадках;

- новые sota модели для изучения;

- изучен и весьма распробован новый фреймворк - pytorch;



Комментируйте, репостите, шлите друзьям, критикуйте.

И как всегда можно:

- Поставить оценку каналу тут - (1000+ подписчиков и только 50+ оценок - 5% как бы норм, но почему не больше?)

- Задонатить на новые статьи и развитие канала (вести канал несложно, статьи и соревнования занимают очень много времени) тут:

-- На чай -

-- Договор ТКС 5011673505




Identify fish challenge - playing with object detection

My path to learning SSD and YOLO and my experience in participating in a video object search competition with 300+GB of data Статьи автора - Блог -

older first