69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
import cv2 as cv
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import numpy as np
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import h5py as h5
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db = None
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def init(path):
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''' initializes the database, must be called before any use '''
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global db
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db = h5.File(path, 'r')
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def needs_init():
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''' checks if the database has been initialized '''
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if db is None:
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print('db is none, please use init(path_to_db) first!')
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return db is None
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# Extract letter from a bounding box
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def extract_bb(img, bb):
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''' extracts a bounding box/letter from the given image '''
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# Get the bounding box
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rect = cv.minAreaRect(bb.astype(np.float32).transpose())
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# will be useful later, map center and size to ints
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center, size = tuple(map(int, rect[0])), tuple(map(int, rect[1]))
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# Calculate rotation matrix and rotate the image
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rot_matrix = cv.getRotationMatrix2D(center, rect[2], 1)
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rot_img = cv.warpAffine(img, rot_matrix, (img.shape[1], img.shape[0]))
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# bounding box is now axis aligned, and we can crop it
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print(size)
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cropped = cv.getRectSubPix(rot_img, size, center)
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return cropped
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def get_img(index):
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''' gets image from database '''
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if needs_init():
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return None
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names = list(db['data'].keys())
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im = names[index]
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return db['data'][im][:]
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def get_attrs(index):
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''' gets attribute dict from the database '''
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if needs_init():
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return None
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names = list(db['data'].keys())
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im = names[index]
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return db['data'][im].attrs
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def get_avg_color(img, mask):
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'''
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gets avg color from an image that is underneath a mask,
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img and mask needs to be of same size(in x,y) but img can
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have any third dimension size it want(usually 3 for rgb or 1 for grayscale)
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'''
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sx, sy, sw = img.shape
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mx, my = mask.shape
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if sx != mx or sy != my:
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print('Image and mask shape doesnt match!')
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return None
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avg = np.array(sw, dtype=np.float32)
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count = 0.0
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for x in range(sx):
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for y in range(sy):
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m = mas[x, y]
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avg += img[x, y] * m
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count += m
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avg /= count
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return avg
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