Dear students,
The marks for Lab2 has been released. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
To see your marks on WebCMS3:
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow.
Andrew
Hi Students,
Project groups have now been finalised. You can find your group in Assessments > Group Project > Project Groups. This list will be the official list used, please disregard anything in the groups tab, that will no longer matter. Each group should have 4/5 members and all students should have been assigned into a group. Please note that you must complete the project in the groups you have been assigned. Please get in touch with your group members. There won't be any opportunity to change groups.
If you have any concerns please email us at cs9517@cse.unsw.edu.au
Good luck!
Andrew
Hi Students,
The group project specification and marking criteria are now available under WebCMS3 > COMP9517 > Course Work > Assessments > Group Project.
Have a great time in the coming weeks developing computer vision methods and solving the described problem with your group. We look forward to seeing the results in Week 10.
In the meantime, the tutors are available in Weeks 6-10 to provide feedback if you have any questions.
Cheers,
Erik
Hi everyone, all video recordings of the Week 5 lectures are now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi everyone, the slides of both Week 5 lectures on image segmentation are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 5. Cheers, Erik
Hi Students,
Please note that the group project will be released at the end of this week, and so project groups will also need to be finalised. The deadline to form your groups will be the 28th of June 6PM and after that students won't be able to move groups afterwards.
For students without a group or groups with less than 5 members, not to worry, at the end of the week we will assign you to a group/fill up the group.
Thanks,
Andrew
Hi Students,
The Lab 4 specification is now available under WebCMS3 > COMP9517 > Course Work > Assessments > Lab 4.
The topic is image segmentation and morphological processing, which are covered in this week's lectures.
The deadline for Lab 4 submission is Week 7, Monday 8 July 2024, 18:00:00 Sydney time.
If you have any questions, feel free to discuss with your tutors this week or ask on the forum.
Cheers,
Erik
Dear students,
The marks for Lab1 has been released. You can access your marks by logging in to your account and typing:
9517 classrun -sturec
To see your marks on WebCMS3:
The WebCMS3 system updates overnight so you may not be able to access the marks through WebCMS3 until tomorrow.
Andrew
Hi everyone, the video recording of the Week 4 Thursday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi everyone, the slides of the Week 4 Thursday lecture on pattern recognition are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 4. Cheers, Erik
Hi everyone, the video recording of the Week 4 Wednesday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi everyone, the slides of the Week 4 Wednesday lecture on pattern recognition are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 4. Please be reminded that the lecture will be given online , not on campus. Cheers, Erik
Hi Students,
Tomorrow's lecture on pattern recognition by Dr Dong Gong will be online only, not on campus. He's recovering at the moment, so we figured it's best to not come to campus yet.
Best wishes,
Erik
Hi Students,
The Lab 3 specification is now available under WebCMS3 > COMP9517 > Course Work > Assessments > Lab 3.
The topic is image classification, which is covered in this week's lectures on pattern recognition.
The deadline for Lab 3 submission is Week 5, Friday 28 June 2024, 18:00:00 Sydney time.
If you have any questions, feel free to discuss with your tutors this week or ask on the forum.
Cheers,
Erik
Dear students,
As you are supposed to use your own images as input
for Lab 2 tasks, we recommend you attach the input images
alongside your notebook file so that the tutors can check your answers if necessary. To accommodate this, we have
increased the Lab 2 submission size limit to 12 Mb
. Please try to respect the file size limit by compressing the input images and keeping the output image resolution (within the notebook) at a reasonably lower level (as the tutors will be able to rerun your code anyway).
If you have any questions please let us know or post them to Ed.
Hi everyone, the video recording of the Week 3 Thursday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi everyone, the slides of the Week 3 Thursday lecture on feature representation are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 3. Cheers, Erik
Hi everyone, the video recording of the Week 3 Wednesday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi Students,
There seems to be some confusion regarding submission of Labs. This is to clarify that you do not have to submit your input images or output images for the labs unless the spec specifically asks for it. Simply submit your ipynb but make sure you have run it all and we can see the outputs in the notebook.
Happy coding,
Andrew
Hi everyone, the slides of the Week 3 Wednesday lecture on feature representation are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 3. Please be reminded that the lecture will be given online , not on campus. Cheers, Erik
Hi Students,
Just letting you know that due to unforeseen circumstances, both lectures this week will be online , not on campus.
Best wishes,
Erik
Hi Students,
The Lab 2 specification is now available under WebCMS3 > COMP9517 > Course Work > Assessments > Lab 2.
The topic is the Scale-Invariant Feature Transform (SIFT), which is covered in this week's lectures.
The deadline for Lab 2 submission is Week 4, Friday 21 June 2024, 18:00:00 Sydney time.
If you have any questions, feel free to discuss with your tutors this week or ask on the forum.
Cheers,Erik
Hi everyone, the video recording of the Week 2 Thursday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi Students,
The video recordings of the Week 2 Wednesday lecture (on campus and online) are now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures).
Afterwards we noticed there was a problem with the recording in the lecture room showing a green screen instead of the lecture slides. We're trying to identify the problem so we can hopefully prevent this from happening again.
Fortunately, we also have the recording of the online session, which does show the slides.
Cheers,
Erik
Hi everyone, the slides of the Week 2 Wednesday lecture are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 2. This week's lectures continue on the topic of image processing we started last week and are given by Dr Dong Gong. Cheers, Erik
Hi Everyone,
You can find which tutorial/consultation you have been assigned and who your tutors are in the Course Work > Tutorials > Student tutorial groupings . Your sessions start this week, every Wednesday at 6:00pm. We will be using blackboard collab and you can find a link to the session on Moodle under "Online Tutorials". Make sure you check the document so you know which one you need to join.
Thanks,
Andrew
Hi Students,
The Lab 1 specification is now available under WebCMS3 > COMP9517 > Course Work > Assessments > Lab 1.
Please note that some of the lab topics are covered in this week's lectures. So don't stress out when you read the lab specification and there are things in there that you haven't heard about yet.
Just repeating what I said in an earlier announcement: Each lab is about topics taught in the lectures of the same week. We release the lab specification early in the week to give you more time to have a look before coming to the lectures and prepare for the tutor session of that week.
The deadline for Lab 1 submission is Week 3, Friday 14 June 2024, 18:00:00 Sydney time.
If you have any questions, feel free to discuss with your tutors this week or ask on the forum.
The link to your tutor session will be posted on Moodle and announced shortly.
Cheers,
Erik
Hi everyone, the video recording of the Week 1 Thursday lecture (online) is now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). Cheers, Erik
Hi everyone, the slides of the Week 1 Thursday lecture are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 1. Today we will cover the basics of image processing to prepare for next week's lectures on the topic. Cheers, Erik
Hi everyone,
As mentioned in yesterday's lecture, the labs and online tutor sessions will start next week . The course admin will soon inform you which tutor group you're part of and how to access your tutor session.
In all labs in this course, you are required to submit your code in the form of a Jupyter Notebook (.ipynb file). Submissions in any other form will not be marked.
If you're not yet familiar with Jupyter, or Python, or OpenCV, you are highly encouraged to install the necessary software and learn the basics before the labs start . To help you with that, we have prepared a document with useful links. See WebCMS3 > Course Work > Assessments > Lab Preparations.
In the first tutor session, the tutors can help you with any questions about the software and the lab tasks . We plan to release the first lab early next week so that you can already have a look before coming to the session.
Please note that each lab is about topics taught in the lectures of the same week . Since the tutor sessions are (unfortunately, outside our control) centrally scheduled immediately after the first lecture of the week, the lab specification may not make much sense to you until after the lecture. But at least it should give you some idea of what's expected and it will become clearer after you've heard the lectures.
To give you multiple opportunities to ask questions about any lab, we aim to release each lab early in the week, with a due date late the week after , so that there are always two tutor sessions between the release date and the due date. And, of course, you can always ask anything via the Q+A Forum on Ed.
Cheers,
Erik
Hi everyone, the video recordings of the Week 1 Wednesday lecture (on campus and online) are now available on Echo360 (see link on Moodle or WebCMS3 > Course Work > Lectures). If you have any further questions about the content, please post them on Ed and the team will respond as soon as possible. Cheers, Erik
Hi everyone, the slides of the Week 1 Wednesday lecture are available under WebCMS3 > COMP9517 > Course Work > Lectures > Week 1. The slides of the Thursday lecture will be posted there before the lecture. Cheers, Erik
Hi everyone,
Welcome to the course. As Erik may have mentioned, this term, you will form groups of 5 to complete a team project in the second half of the course. Please form your groups by going to the Groups section and either clicking create or join. Project groups need to be formed by week 5, we will remind everyone again a little closer to the deadline.
We will also be assigning students to their tutor groups this week. Please note, you do not have to be in the same tutor group to be in a project group together. However, we will try to assign any project groups that have formed by the end of this week to the same tutor group, so please form the groups early if you would like to be in the same tutor group. There won't be any opportunity to change tutor groups once assigned.
Hope you enjoy the course,
Andrew
Hi Students,
The online lectures will be streamed via Blackboard Collaborate. The lecture links can be found on the Moodle page of the course, under Online Lectures. Where possible, the slides will be made available via WebCMS3 before the lecture (except the first) under Course Work > Lectures.
Cheers,
Erik
Dear Students,
Throughout the term there will be various ways to ask questions and get answers:
1. During the lectures. Certainly in the class room. If you're following the lectures online, you should be able to use the chat function to post questions about the presented materials at any time. With so many students we'll have to see how it works, technically and timewise, for the lecturer to actually pick them up during the lecture. Otherwise, see options 2 and 3 below.
2. Every week (except the first week) there will be a 1-hour tutor session (separate from the lectures) during which you can consult with the tutors of your tutor group regarding the labs and group project (more details on these will follow next week). Tutor groups will be created soon and we will post the links ahead of time.
3. At any time, you can post questions in the Q+A forum. You will find the link to this forum in the main WebCMS3 panel. The platform we are using for this is called Ed. Please sign up and enroll as soon as possible using your UNSW email address to get access. The team will attempt to answer questions within 24 hours.
Best wishes,
Dear Students,
Welcome to COMP9517 2024 Term 2 starting next week . I hope you're all doing well and are ready to learn about Computer Vision!
Please have a look at the Course Outline (available in ECOS via the menu panel on WebCMS3) for more details on what to expect and what's expected in this course.
The course will be delivered partly in hybrid mode . That is, the Wednesday lectures will be on campus and online at the same time, while the Thursday lectures will be fully online, as per the Timetable (see the menu panel on WebCMS3).
Please come to the on-campus lectures only if you signed up for them . This is because the room (OShane 104) has a maximum capacity of only 497 while we have about 800 students in the course this term. Of course, the lectures will be recorded, so you can also just watch them afterwards (attendance is not compulsory).
In the past few years we have broken the record in terms of student numbers every new term, which keeps challenging us. Clearly, interest in computer vision and its many applications is growing rapidly. Please bear with us as we do our best solving technical challenges in making the course an enjoyable experience for you.
While the lectures and the final exam will be on campus, everything else will be online this term. We will keep you posted weekly via WebCMS3 to help you stay on track with all activities.
On behalf of the entire COMP9517 24T2 Team, which includes Co-Lecturer Dr Dong Gong, several Guest Lecturers (TBC), the two Course Admins Andrew Gunawan and Piumi Don Simonge, and 30 Tutors, I wish you a great time learning about Computer Vision!
If anything is unclear,
use the Q+A Forum on Ed for any questions about the course
(see the link in the menu panel on WebCMS3). The forum is monitored daily and we do our best to answer within 24 hours.
Erik Meijering
Lecturer in Charge