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# -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
import random
import cv2
import numpy as np
from .utils import convert_to_numpy
class RegionCanvasAnnotator:
def __init__(self, cfg, device=None):
self.scale_range = cfg.get('SCALE_RANGE', [0.75, 1.0])
self.canvas_value = cfg.get('CANVAS_VALUE', 255)
self.use_resize = cfg.get('USE_RESIZE', True)
self.use_canvas = cfg.get('USE_CANVAS', True)
self.use_aug = cfg.get('USE_AUG', False)
if self.use_aug:
from .maskaug import MaskAugAnnotator
self.maskaug_anno = MaskAugAnnotator(cfg={})
def forward(self, image, mask, mask_cfg=None):
image = convert_to_numpy(image)
mask = convert_to_numpy(mask)
image_h, image_w = image.shape[:2]
if self.use_aug:
mask = self.maskaug_anno.forward(mask, mask_cfg)
# get region with white bg
image[np.array(mask) == 0] = self.canvas_value
x, y, w, h = cv2.boundingRect(mask)
region_crop = image[y:y + h, x:x + w]
if self.use_resize:
# resize region
scale_min, scale_max = self.scale_range
scale_factor = random.uniform(scale_min, scale_max)
new_w, new_h = int(image_w * scale_factor), int(image_h * scale_factor)
obj_scale_factor = min(new_w/w, new_h/h)
new_w = int(w * obj_scale_factor)
new_h = int(h * obj_scale_factor)
region_crop_resized = cv2.resize(region_crop, (new_w, new_h), interpolation=cv2.INTER_AREA)
else:
region_crop_resized = region_crop
if self.use_canvas:
# plot region into canvas
new_canvas = np.ones_like(image) * self.canvas_value
max_x = max(0, image_w - new_w)
max_y = max(0, image_h - new_h)
new_x = random.randint(0, max_x)
new_y = random.randint(0, max_y)
new_canvas[new_y:new_y + new_h, new_x:new_x + new_w] = region_crop_resized
else:
new_canvas = region_crop_resized
return new_canvas |