127 lines
3.9 KiB
Python
127 lines
3.9 KiB
Python
import random
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import cv2
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import numpy as np
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import os
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class Node:
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def __init__(self, x, y, width, height):
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self.x = x
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self.y = y
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self.width = width
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self.height = height
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self.used = False
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self.right = None
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self.down = None
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def find_node(root, width, height):
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if root.used:
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return find_node(root.right, width, height) or find_node(root.down, width, height)
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elif width <= root.width and height <= root.height:
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return root
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else:
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return None
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def split_node(node, width, height):
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node.used = True
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node.down = Node(node.x, node.y + height, node.width, node.height - height)
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node.right = Node(node.x + width, node.y, node.width - width, height)
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return node
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def grow_node(root, width, height):
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can_grow_down = (width <= root.width)
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can_grow_right = (height <= root.height)
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should_grow_right = can_grow_right and (root.height >= (root.width + width))
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should_grow_down = can_grow_down and (root.width >= (root.height + height))
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if should_grow_right:
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return grow_right(root, width, height)
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elif should_grow_down:
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return grow_down(root, width, height)
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elif can_grow_right:
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return grow_right(root, width, height)
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elif can_grow_down:
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return grow_down(root, width, height)
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else:
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root.width=root.width+width//2
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root.height=root.height+height//2
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return grow_node(root, width, height)
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def grow_right(root, width, height):
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new_root = Node(0, 0, root.width + width, root.height)
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new_root.used = True
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new_root.down = root
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new_root.right = Node(root.width, 0, width, root.height)
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return new_root if find_node(new_root, width, height) else None
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def grow_down(root, width, height):
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new_root = Node(0, 0, root.width, root.height + height)
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new_root.used = True
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new_root.right = root
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new_root.down = Node(0, root.height, root.width, height)
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return new_root if find_node(new_root, width, height) else None
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def stitch_images_bin_packing(images):
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root = Node(0, 0, images[0].shape[1], images[0].shape[0])
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positions = []
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for img in images:
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node = find_node(root, img.shape[1], img.shape[0])
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if node:
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split_node(node, img.shape[1], img.shape[0])
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else:
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root = grow_node(root, img.shape[1], img.shape[0])
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node = find_node(root, img.shape[1], img.shape[0])
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split_node(node, img.shape[1], img.shape[0])
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positions.append((node.x, node.y))
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# stitched_image = np.zeros((root.height, root.width, 3), dtype=np.uint8)
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stitched_image = np.full((root.height, root.width, 3),255, dtype=np.uint8)
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for pos, img in zip(positions, images):
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x, y = pos
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stitched_image[y:y + img.shape[0], x:x + img.shape[1]] = img
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return stitched_image
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def load_images_from_folder(folder,max_height=512,max_width=512):
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images = []
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for filename in os.listdir(folder):
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img = cv2.imread(os.path.join(folder, filename))
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if img is not None:
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if max_height is not None and max_width is not None:
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if img.shape[0] > max_height or img.shape[1] > max_width:
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scw=img.shape[1]/max_width
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sch=img.shape[0]/max_height
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mac=max(scw,sch)
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img = cv2.resize(img, (int(img.shape[1]//mac),int(img.shape[0]//mac)))
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# img = cv2.resize(img, (min(img.shape[1], max_width), min(img.shape[0], max_height)))
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# img = cv2.resize(img, (min(img.shape[1], max_width), min(img.shape[0], max_height)))
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images.append(img)
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random.shuffle(images)
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return images
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folder = 'zh_cn'
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images = load_images_from_folder(folder)
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stitched_image = stitch_images_bin_packing(images)
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cv2.imwrite('auto_img_zh_cn.png', stitched_image)
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