File size: 932 Bytes
483de47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
from PIL import Image
import numpy as np
def segment_image(image, segmentation_mask):
image_array = np.array(image)
segmented_image_array = np.zeros_like(image_array)
segmented_image_array[segmentation_mask] = image_array[segmentation_mask]
segmented_image = Image.fromarray(segmented_image_array)
black_image = Image.new("RGB", image.size, (0, 0, 0))
transparency_mask = np.zeros_like(segmentation_mask, dtype=np.uint8)
transparency_mask[segmentation_mask] = 255
transparency_mask_image = Image.fromarray(transparency_mask, mode='L')
black_image.paste(segmented_image, mask=transparency_mask_image)
return black_image
def convert_box_xywh_to_xyxy(box):
x1 = box[0]
y1 = box[1]
x2 = box[0] + box[2]
y2 = box[1] + box[3]
return [x1, y1, x2, y2]
def get_indices_of_values_above_threshold(values, threshold):
return [i for i, v in enumerate(values) if v > threshold] |