PyConf Hyderabad 2017

PyConf Hyderabad

Selected Talks for PyConf Hyderabad 2017 have been announced. Please Check the Confirmed Proposals section for the Selected Talks

Guidelines for Proposal Submission

Following are the guidelines for proposal submission

  • Please mention type of Proposal as given below in the Title of the Proposal.
  • The proposal should have an objective with clear expectation for the audience.
  • The Proposal description should be short and to the point.
  • The proposal should have proper prerequisites like environment setup, library version.
  • No proposal will be selected without a link to appropriate session content like presentation, pdf, code snippets etc.
  • Proposal content should adhere to code of conduct.
  • Proposal content links can be updated later.
  • Proposal content shouldn’t have a company name throughout the content. Mention of the employer is allowed only at the beginning of the content (presentation/pdf).
  • Background image/wallpaper shouldn’t contain company name/logos.
  • For any questions, please write to contact@hydpy.org.

Proposal Types

We have three kind of Proposals - General Talks, Lightning Talks and Workshops. Please mention the Proposal type in the Title of the Proposal. Give a Title like Proposal Type : Proposal Title

General Talks

These are the traditional talk sessions scheduled during the first day of conference. They will be conducted on Day 2 of Conference, Sunday, 8th Oct. The length of these tracks are 45 minutes.

Lightning Talks

These are short length talks that will be conducted on Day 2 of Conference, Sunday, 8th Oct. The time limit is 5 minutes. But we can extend it depending on number of talks submitted.

Workshops

As with the talks, we are looking for Workshops that can grow this community at any level. We aim for Workshops that will advance Python, advance this community, and shape the future. Each session runs for 6 full hours plus a break for lunch. There will be 2 workshops going parallely on Day 1 of Conference, Saturday, 7th Oct in the same venue that hosts the main conference. Workshop I is aimed for Begineers while Workshop II is a Advaced Session aimed for Professionals.

Themes and Topics

These will be the themes and topics

  • Core Python and Python 3 features
  • Concurrent and Asynchronous programming in Python
  • Data Science and Analysis
  • Web Development
  • Python and IOT
  • Functional Programming
  • Artificial Intelligence
  • Continuous integration and Deployment
  • Testing
  • Scientific Computing
  • Cloud computing with Python

Important Dates

  • 31st August, 2017 : Deadline for Proposal Submission
  • 16th September, 2017 : Talk selection and announcement

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Abhishek Kumar

@abhishekkumar07

A practical walkthrough from Classification network to Semantic Segmentation, let's do it one pixel at a time.

Submitted Aug 24, 2017

Semantic Segmentation of an image is to assign each pixel in the input image a semantic class in order to get a pixel-wise dense classification. While semantic segmentation/scene parsing has been a part of the computer vision community since late 2007, but much like other areas in computer vision, a major breakthrough came when fully convolutional neural networks were first used by 2014 Long et. al. to perform end-to-end segmentation of natural images. An introduction to classification network and how it can be seen/converted to a segmentation network i.e a fully-integrated segmentation workflow, allowing you to create image segmentation and analyze the output of a segmentation network.

Outline

I will walk through my experience and the problems faced when trying to make a state of the art industry-grade implementation. Some of the points I will try to cover.

-An intuitive introduction and visualization of the Convolution Neural Netowrk (the lifeline of Computer Vision).

-An explanation and small demo of Classification Network using PyTorch.

-Covering the bridge of Classification and Segmentation.

-A small demo of fully-integrated segmentation workflow, allowing you to create visualize and understand segmentation datasets and visualize the output of a segmentation network.

-Importance of data and problems faced by me working on Industry projects.

-Wrap up and project discussion.

Requirements

Zeal to learn new things would be enough but basic knowledge of Python would be good to go but the following are always encouraged:
- Basic Knowledge of algebra and Python Libraries such as Numpy
- Basic knowledge of working with Neural Network (not a strict requirement)

Speaker bio

I am presently working as Deep Learning Scientist at Predible Health, here, we have build state of the art segmentation network for liver, tumour and vessel segmentations.
I have spoken previously at Shri Mata Vaishno Devi University at their SFD celebrations and I have also proposed a talk at PyCon India and will be speaking at MuPy (Manipal Institute of Technology’s annual Python Conference) later this year. I have been a constant contributor in the open source world and have been attending PyCon and other conferences every year.
An athlete, a Real Madrid F.C follower and a part time stand-up comdedian (good enough to make you laugh). See you at PyCon.

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