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