Difference between revisions of "DSC180F20W3"
From Immersive Visualization Lab Wiki
| (5 intermediate revisions by one user not shown) | |||
| Line 1: | Line 1: | ||
| − | =Week 3= | + | =Week 3: COCO Dataset= |
==Reading== | ==Reading== | ||
| Line 7: | Line 7: | ||
==Programming== | ==Programming== | ||
| − | You can do this week's programming assignment on your own | + | 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 (no need to deal with Matlab or Lua). | |
| − | For your Participation | + | Run the demo: <tt>cocoapi/PythonAPI/pycocoDemo.ipynb</tt> |
| + | |||
| + | ==Participation Assignment== | ||
| + | |||
| + | For your Week 3 Participation Assignment, answer the following questions: | ||
| + | |||
| + | # What does the COCO dataset consist of? | ||
| + | # What does the Python API demo do? | ||
| + | # Which were the biggest problems your team had to solve to get the demo to work? | ||
Latest revision as of 23:57, 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:
- What does the COCO dataset consist of?
- What does the Python API demo do?
- Which were the biggest problems your team had to solve to get the demo to work?
