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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2024-07-18 3 112 S01 iphone↘ that make a perfect image so imagine that
Oral Assessments Graduate 2024-07-18 3 113 S01 the how- how- how it will be if you are using
Oral Assessments Graduate 2024-07-18 3 114 S01 very cheap camera to get a perfect image right↗
Oral Assessments Graduate 2024-07-18 3 115 S01 so I think this application is very important
Oral Assessments Graduate 2024-07-18 3 116 S01 and xxx xxx xxx for you↘ (0.5) and uh here
Oral Assessments Graduate 2024-07-18 3 117 S01 (0.6) we can see now we can see we have a
Oral Assessments Graduate 2024-07-18 3 118 S01 clean image and we have noise so (0.6) so
Oral Assessments Graduate 2024-07-18 3 119 S01 it will be relative easy i:::- in math↗
Oral Assessments Graduate 2024-07-18 3 120 S01 you can see that uh uh there are kind of uh data uh
Oral Assessments Graduate 2024-07-18 3 121 S01 uh which and uh also there have some uh noise↗
Oral Assessments Graduate 2024-07-18 3 122 S01 here we can uh the- the image that uh:::
Oral Assessments Graduate 2024-07-18 3 123 S01 contains noise↗ so what we are supposed to do
Oral Assessments Graduate 2024-07-18 3 124 UNK %err:PRO
Oral Assessments Graduate 2024-07-18 3 125 S01 is that we only have this ⌈image
Oral Assessments Graduate 2024-07-18 3 126 T02 ⌊uh excuse me↗
Oral Assessments Graduate 2024-07-18 3 127 S01 okay↗
Oral Assessments Graduate 2024-07-18 3 128 T02 should we care about the size of the image as well
Oral Assessments Graduate 2024-07-18 3 129 S01 (0.3) actually yes↘ uh and because you can see
Oral Assessments Graduate 2024-07-18 3 130 S01 if you take a photo that focus on a face↗
Oral Assessments Graduate 2024-07-18 3 131 S01 maybe you move very far↗ uh or you just uh take a
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