Difference between revisions of "DSC180F20W3"

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=Week 3=
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=Week 3: COCO Dataset=
  
 
==Reading==
 
==Reading==
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==Programming==
 
==Programming==
  
You can do this week's programming assignment on your own computer, or on the cluster. The advantage of using the cluster is that the COCO data set is already available there. If you use your home computer you will have to download the data set.
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You can do this week's programming assignment on your own computers or on the DSMLP cluster. The advantage of using the cluster is that the COCO data set has already been downloaded to it, and it may be easier to use it as a team.
Download the [https://github.com/cocodataset/cocoapi COCO API] and get the Python API to work.  
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Run the demo at: cocoapi/PythonAPI/pycocoDemo.ipynb
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Download the [https://github.com/cocodataset/cocoapi COCO API] and get the Python API to work (no need to deal with Matlab or Lua).
  
For your Participation submission, describe the demo in a few sentences, and report on a few obstacles you encountered in getting the demo to work.
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Run the demo: <tt>cocoapi/PythonAPI/pycocoDemo.ipynb</tt>
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==Participation Assignment==
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For your Week 3 Participation Assignment, answer the following questions:
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# What does the COCO dataset consist of?
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# What does the Python API demo do?
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# Which were the biggest problems your team had to solve to get the demo to work?

Latest revision as of 22:57, 13 October 2020

Contents

Week 3: COCO Dataset

Reading

Browse the COCO dataset website and read the paper.

Programming

You can do this week's programming assignment on your own computers or on the DSMLP cluster. The advantage of using the cluster is that the COCO data set has already been downloaded to it, and it may be easier to use it as a team.

Download the COCO API and get the Python API to work (no need to deal with Matlab or Lua).

Run the demo: cocoapi/PythonAPI/pycocoDemo.ipynb

Participation Assignment

For your Week 3 Participation Assignment, answer the following questions:

  1. What does the COCO dataset consist of?
  2. What does the Python API demo do?
  3. Which were the biggest problems your team had to solve to get the demo to work?