#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import cv2
import numpy as np
from .error import FileNotExistError
from six import PY2, PY3
from airtest.aircv.utils import cv2_2_pil, compress_image
def imread(filename, flatten=False):
"""根据图片路径，将图片读取为cv2的图片处理格式."""
if not os.path.isfile(filename):
raise FileNotExistError("File not exist: %s" % filename)
# choose image readin mode: cv2.IMREAD_UNCHANGED=-1, cv2.IMREAD_GRAYSCALE=0, cv2.IMREAD_COLOR=1,
readin_mode = cv2.IMREAD_GRAYSCALE if flatten else cv2.IMREAD_COLOR
if PY3:
img = cv2.imdecode(np.fromfile(filename, dtype=np.uint8), readin_mode)
else:
filename = filename.encode(sys.getfilesystemencoding())
img = cv2.imread(filename, readin_mode)
return img
def imwrite(filename, img, quality=10):
"""写出图片到本地路径，压缩"""
if PY2:
filename = filename.encode(sys.getfilesystemencoding())
pil_img = cv2_2_pil(img)
compress_image(pil_img, filename, quality, 1200, 1200)
def show(img, title="show_img", test_flag=False):
"""在可缩放窗口里显示图片."""
cv2.namedWindow(title, cv2.WINDOW_NORMAL)
cv2.imshow(title, img)
if not test_flag:
cv2.waitKey(0)
cv2.destroyAllWindows()
def show_origin_size(img, title="image", test_flag=False):
"""原始尺寸窗口中显示图片."""
cv2.imshow(title, img)
if not test_flag:
cv2.waitKey(0)
cv2.destroyAllWindows()
def rotate(img, angle=90, clockwise=True):
"""
函数使图片可顺时针或逆时针旋转90、180、270度.
默认clockwise=True：顺时针旋转
"""
def count_clock_rotate(img):
# 逆时针旋转90°
rows, cols = img.shape[:2]
rotate_img = np.zeros((cols, rows))
rotate_img = cv2.transpose(img)
rotate_img = cv2.flip(rotate_img, 0)
return rotate_img
# 将角度旋转转化为逆时针旋转90°的次数:
counter_rotate_time = (4 - angle / 90) % 4 if clockwise else (angle / 90) % 4
for i in range(int(counter_rotate_time)):
img = count_clock_rotate(img)
return img
def crop_image(img, rect):
"""
区域截图，同时返回截取结果 和 截取偏移;
Crop image , rect = [x_min, y_min, x_max ,y_max].
(airtest中有用到)
"""
if isinstance(rect, (list, tuple)) and len(rect) == 4:
height, width = img.shape[:2]
# 获取在图像中的实际有效区域：
x_min, y_min, x_max, y_max = [int(i) for i in rect]
x_min, y_min = max(0, x_min), max(0, y_min)
x_min, y_min = min(width - 1, x_min), min(height - 1, y_min)
x_max, y_max = max(0, x_max), max(0, y_max)
x_max, y_max = min(width - 1, x_max), min(height - 1, y_max)
# 返回剪切的有效图像+左上角的偏移坐标：
img_crop = img[y_min:y_max, x_min:x_max]
return img_crop
else:
raise Exception("to crop a image, rect should be a list like: [x_min, y_min, x_max, y_max].")
def mark_point(img, point, circle=False, color=100, radius=20):
""" 调试用的: 标记一个点 """
x, y = point
# cv2.rectangle(img, (x, y), (x+10, y+10), 255, 1, lineType=cv2.CV_AA)
if circle:
cv2.circle(img, (x, y), radius, 255, thickness=2)
cv2.line(img, (x - radius, y), (x + radius, y), color) # x line
cv2.line(img, (x, y - radius), (x, y + radius), color) # y line
return img
def mask_image(img, mask, color=(255, 255, 255), linewidth=-1):
"""
将screen的mask矩形区域刷成白色gbr(255, 255, 255).
其中mask区域为: [x_min, y_min, x_max, y_max].
color: 顺序分别的blue-green-red通道.
linewidth: 为-1时则完全填充填充，为正整数时为线框宽度.
"""
# 将划线边界外扩，保证线内区域不被线所遮挡:
offset = int(linewidth / 2)
return cv2.rectangle(img, (mask[0] - offset, mask[1] - offset), (mask[2] + linewidth, mask[3] + linewidth), color, linewidth)
def get_resolution(img):
h, w = img.shape[:2]
return w, h
