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Computer_Vision/Chapter07/Understanding_selectivesearch.ipynb
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2024-02-13 03:34:51 +01:00

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Open In Colab

!pip install selectivesearch
!pip install torch_snippets
from torch_snippets import *
import selectivesearch
from skimage.segmentation import felzenszwalb
Collecting selectivesearch
  Downloading selectivesearch-0.4.tar.gz (3.8 kB)
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Installing collected packages: selectivesearch
Successfully installed selectivesearch-0.4
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img = read('Hemanvi.jpeg', 1)
segments_fz = felzenszwalb(img, scale=200)
subplots([img, segments_fz], titles=['Original Image','Image post \nfelzenszwalb segmentation'], figsize=(10,10), nc=2)
def extract_candidates(img):
    img_lbl, regions = selectivesearch.selective_search(img, scale=200, min_size=100)
    img_area = np.prod(img.shape[:2])
    candidates = []
    for r in regions:
        if r['rect'] in candidates: continue
        if r['size'] < (0.05*img_area): continue
        if r['size'] > (1*img_area): continue
        x, y, w, h = r['rect']
        candidates.append(list(r['rect']))
    return candidates

!pip install selectivesearch
!pip install torch_snippets
from torch_snippets import *
import selectivesearch
img = read('Hemanvi.jpeg', 1)
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candidates = extract_candidates(img)
show(img, bbs = candidates)