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utils.py
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utils.py
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"""
Utils for the project
"""
import cv2
from common import *
def get_probable_eyes(eyes_list):
"""
Find the two closest areas in size (eyes are usually similar in size)
"""
eye_sizes = []
for _, _, w, h in eyes_list:
eye_sizes.append(w * h)
if len(eyes_list) > 1:
diffs = []
for i in range(len(eye_sizes) - 1):
min_indexes = None
min_diff = None
for j in range(i + 1, len(eye_sizes)):
diff = abs(eye_sizes[i] - eye_sizes[j])
if not min_diff or diff < min_diff:
min_diff = diff
min_indexes = (i, j)
diffs.append((min_indexes, min_diff))
indexes, _ = diffs[min(range(len(diffs)), key=lambda i: diffs[i][1])]
return [eyes_list[indexes[0]], eyes_list[indexes[1]]]
else:
return eyes_list
def place_greenscreen_image(bg, fg, top_left_x, top_left_y):
"""
Place image fg (removing greenscreen) on background image bg
"""
fg_hsv = cv2.cvtColor(fg, cv2.COLOR_BGR2HSV)
for pixel_row_num in range(len(fg)):
for pixel_col_num in range(len(fg[pixel_row_num])):
pixel = fg_hsv[pixel_row_num, pixel_col_num]
if not (BG_MID_BOUND + SENSITIVITY) > pixel[0] > (BG_MID_BOUND - SENSITIVITY):
bg[top_left_y + pixel_row_num, top_left_x + pixel_col_num] = fg[pixel_row_num, pixel_col_num]
return bg
def resize_image(image, new_height=0, new_width=0):
"""
Resize the image using the new_width and/or new_height
"""
assert new_height or new_width
if not new_height:
new_height = round(image.shape[0] * (new_width / image.shape[1]))
elif not new_width:
new_width = round((new_height / image.shape[0]) * image.shape[1])
resized_image = cv2.resize(image, (int(new_width), int(new_height)), interpolation=cv2.INTER_AREA)
return resized_image