utils.py

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]