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COMP/ENGN4528 Computer Vision
创建日期：2024-08-15 16:37:10
标签： ENGN4528
COMP/ENGN4528 Computer Vision

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COMP/ENGN4528 Computer Vision


Computer-Lab 2(C-Lab2)

Objectives:

This is CLab-2 for COMP/ENGN4528 Computer Vision. This Lab focuses on features, develop-

ing mid-level computer vision features, and using Deep Learning to learn features to perform a

classification task.

For this the second part of this lab we highly recommend that you use PyTorch. Please discuss

with your tutor if you plan to use anything else.

Special Notes:

1. Each computer lab has three weeks for submission, but only two weeks of classes: session-A

and session-B. Tutors/Lab instructor will provide basic supervision to both sessions. Please

attend both sessions to get support. Piazza support is available throughout.

2. Your Lab will be marked based on the overall quality of your Lab Report (PDF). The report

is to be uploaded to Wattle site before the due time, which is usually on Sunday 11:59pm of

Week-3 session of your lab.

3. Your submission includes the lab report in PDF format as well as the Lab code that generating

the experimental result.

4. It is normal if you cannot finish all the tasks within two 2-hour sessions — these tasks are

designed so that you will have to spend about 9 hours to finish all tasks including finishing

your Lab report. This suggests that, before attending the third lab session (in Week-2 of

each CLab), you must make sure that you have almost complete 80%. It may take longer if

you are not familiar with programming in Python and with object oriented concepts, or less

time if you are already familiar with pytorch.

5. In your Lab Report, you need to list your complete source code with detailed comments for

each task. You should also show corner detection results and their comparisons for each of

the test images for the first task.

Academic Integrity:

You are expected to comply with the University Policy on Academic Integrity and Plagiarism. You

are allowed to talk with / work with other students on lab and project assignments. You can share

ideas but not code, you should submit your own work. Your course instructors reserve the right

to determine an appropriate penalty based on the violation of academic dishonesty that occurs.

Violations of the university policy can result in severe penalties.

1

Figure 1: For Matlab Users.

CLab-2 Tasks

Task 1 Harris Corner Detector. (5 marks)

For Matlab Users:

1. Read and understand the corner detection code ‘harris.m’ in Fig 1.

2. Complete the missing parts, rewrite ‘harris.m’ into a Matlab function, and design appropriate

function signature (1 mark).

3. Please provide comments on line #13 and every line of your solution after line #20 (0.5

mark) in your report. Specifically, you need to provide short comments on your code, which

should make your code readable. Please make sure you include the comments in your report

to get marks.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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