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```julia
julia> anns = [:x => "a", :y => 1]
# this works:
julia> Base.AnnotatedString("abc def", [(i:i, anns[i]) for i in 1:2])
"abc def"
# but after replacing 2 with 0 doesn't:
julia> Base.…
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I was going through the code, and I found following lines in loading.py. But I couldn't find the definition of the function. So I wondered whether this is important or not.
```
# Generate…
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Thanks for the great work, can you tell me which part of the code is about the quasi-superpixel method in the SAM-Based Seeding Module? Sorry, I really can't find it.
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I run this code in jupyterlab:
```
import cv2
import matplotlib.pyplot as plt
from segment_anything import SamAutomaticMaskGenerator, sam_model_registry
import numpy as np
import gc
def show_…
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https://github.com/boostcampaitech2/semantic-segmentation-level2-cv-06/blob/8a6c3063cfaaa42cf8acde95e820ccd64c7483ec/dataset.py#L56
이 부분 경재님께서 수정하신
anns = sorted(anns, key=lambda idx : idx['area'], …
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## Project Request
---
| Field | Description |
| ------ | --------------------------------- |
| About |A customer churn model using Artificial Neural Networks (ANN)…
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### Details:
Create ANNs for classifying UrbanSound8K. MFCCs of the audio samples are present in the linked dataset below and are to be directly used in the classification input as features.
Experim…