163 lines
6.1 KiB
Python
163 lines
6.1 KiB
Python
import cv2
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import numpy as np
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# return -1 if user press 'q'. return 1 if user press 'Enter'.
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def display_image(window_title, image):
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# 创建可调整大小的窗口
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cv2.namedWindow(window_title, cv2.WINDOW_NORMAL)
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# 显示图像
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cv2.imshow(window_title, image)
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while True:
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# 检查窗口是否被关闭
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if cv2.getWindowProperty(window_title, cv2.WND_PROP_VISIBLE) < 1:
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return -1
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key = cv2.waitKey(1) & 0xFF
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if key == ord("q"):
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return -1
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# 'Enter' key is detected!
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if key == 13:
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return 1
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class PointSelector(object):
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"""
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---------------------------------------------------
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| A simple gui point selector. |
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| Usage: |
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| 1. call the `loop` method to show the image. |
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| 2. click on the image to select key points, |
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| press `d` to delete the last points. |
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| 3. press `q` to quit, press `Enter` to confirm. |
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---------------------------------------------------
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"""
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POINT_COLOR = (0, 0, 255)
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FILL_COLOR = (0, 255, 255)
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def __init__(self, image, title="PointSelector"):
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self.original_image = image.copy() # 保存原始图像
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self.image = image
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self.title = title
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self.keypoints = []
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self.window_width = image.shape[1]
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self.window_height = image.shape[0]
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self.scale = 1.0 # 缩放比例
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self.last_window_size = (self.window_width, self.window_height)
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def draw_image(self):
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"""
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Display the selected keypoints and draw the convex hull.
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"""
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# 检查窗口大小是否改变
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current_width = cv2.getWindowImageRect(self.title)[2] if cv2.getWindowProperty(self.title, cv2.WND_PROP_VISIBLE) >= 1 else self.window_width
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current_height = cv2.getWindowImageRect(self.title)[3] if cv2.getWindowProperty(self.title, cv2.WND_PROP_VISIBLE) >= 1 else self.window_height
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if current_width != self.last_window_size[0] or current_height != self.last_window_size[1]:
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self.window_width = current_width
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self.window_height = current_height
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self.last_window_size = (current_width, current_height)
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# 计算新的缩放比例
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self.scale = min(current_width / self.original_image.shape[1],
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current_height / self.original_image.shape[0])
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# 基于当前缩放比例调整点坐标
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scaled_keypoints = [
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(int(x * self.scale), int(y * self.scale))
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for x, y in self.keypoints
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]
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# 创建缩放后的图像副本
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scaled_image = cv2.resize(self.original_image,
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(self.window_width, self.window_height))
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# 绘制选中的关键点
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for i, pt in enumerate(scaled_keypoints):
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cv2.circle(scaled_image, pt, 6, self.POINT_COLOR, -1)
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cv2.putText(scaled_image, str(i), (pt[0], pt[1] - 15),
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cv2.FONT_HERSHEY_SIMPLEX, 0.6, self.POINT_COLOR, 2)
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# 如果有两个点，绘制连接线
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if len(scaled_keypoints) == 2:
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p1, p2 = scaled_keypoints
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cv2.line(scaled_image, p1, p2, self.POINT_COLOR, 2)
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# 如果有两个以上的点，绘制凸包
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if len(scaled_keypoints) > 2:
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mask = self.create_mask_from_pixels(scaled_keypoints,
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(self.window_height, self.window_width))
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scaled_image = self.draw_mask_on_image(scaled_image, mask)
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cv2.imshow(self.title, scaled_image)
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def onclick(self, event, x, y, flags, param):
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"""
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点击点(x, y)会将该点添加到列表并重新绘制图像。
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考虑窗口缩放，将点击坐标转换回原始图像坐标。
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"""
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if event == cv2.EVENT_LBUTTONDOWN:
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# 将点击坐标转换回原始图像坐标
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orig_x = int(x / self.scale)
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orig_y = int(y / self.scale)
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print(f"click ({orig_x}, {orig_y}) (scaled: ({x}, {y}))")
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self.keypoints.append((orig_x, orig_y))
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self.draw_image()
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def loop(self):
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"""
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Press "q" will exit the gui and return False
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press "d" will delete the last selected point.
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Press "Enter" will exit the gui and return True.
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"""
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# 创建可调整大小的窗口
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cv2.namedWindow(self.title, cv2.WINDOW_NORMAL)
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# 设置窗口初始大小为图像大小
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cv2.resizeWindow(self.title, self.image.shape[1], self.image.shape[0])
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cv2.setMouseCallback(self.title, self.onclick, param=())
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self.draw_image()
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while True:
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# 检查窗口是否被关闭
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if cv2.getWindowProperty(self.title, cv2.WND_PROP_VISIBLE) < 1:
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return False
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key = cv2.waitKey(1) & 0xFF
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# 按q键返回False
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if key == ord("q"):
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return False
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# 按d键删除最后一个点
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if key == ord("d"):
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if len(self.keypoints) > 0:
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x, y = self.keypoints.pop()
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print(f"Delete ({x}, {y})")
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self.draw_image()
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# 按Enter键确认
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if key == 13:
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return True
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def create_mask_from_pixels(self, pixels, image_shape):
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"""
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Create mask from the convex hull of a list of pixels.
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"""
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pixels = np.int32(pixels).reshape(-1, 2)
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hull = cv2.convexHull(pixels)
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mask = np.zeros(image_shape[:2], np.int8)
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cv2.fillConvexPoly(mask, hull, 1, lineType=8, shift=0)
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mask = mask.astype(bool)
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return mask
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def draw_mask_on_image(self, image, mask):
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"""
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Paint the region defined by a given mask on an image.
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"""
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new_image = np.zeros_like(image)
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new_image[:, :] = self.FILL_COLOR
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mask = np.array(mask, dtype=np.uint8)
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new_mask = cv2.bitwise_and(new_image, new_image, mask=mask)
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cv2.addWeighted(image, 1.0, new_mask, 0.5, 0.0, image)
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return image |