def beauty_file():
img_list = globalvar.get_value('img_list_global')
src = img_list[len(img_list) - 1].convert('RGB')
src = np.array(src)
dst = np.zeros_like(src)
# int value1 = 3, value2 = 1; 磨皮程度与细节程度的确定
v1 = 3
v2 = 1
dx = v1 * 5 # 双边滤波参数之一
fc = v1 * 12.5 # 双边滤波参数之一
p = 0.1
temp4 = np.zeros_like(src)
temp1 = cv2.bilateralFilter(src, dx, fc, fc)
temp2 = cv2.subtract(temp1, src)
temp2 = cv2.add(temp2, (10, 10, 10, 128))
temp3 = cv2.GaussianBlur(temp2, (2 * v2 - 1, 2 * v2 - 1), 0)
temp4 = cv2.subtract(cv2.add(cv2.add(temp3, temp3), src),
(10, 10, 10, 255))
dst = cv2.addWeighted(src, p, temp4, 1 - p, 0.0)
dst = cv2.add(dst, (10, 10, 10, 255))
show_img = Image.fromarray(dst)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def water_file():
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGBA') # 转化为RGBA模式
# 1.创建一张透明的图片，在透明图片上写上字，然后与原图合并
w, h = show_img.size
water = Image.new('RGBA', (w, h), (0, 0, 0, 0))
fn_size = 100
fn_str = g.enterbox(msg='请输入文字', title='水印文字设置', default='')
if len(fn_str) == 0:
fn_str = 'watermark'
fn = ImageFont.truetype(r'C:\Windows\Fonts\Arial.ttf', fn_size)
fn_w, fn_h = fn.getsize(fn_str) # 获取字体宽高
ct_w, ct_h = (w - fn_w) // 2, (h - fn_h) // 2 # 字体位置设置在中心
draw = ImageDraw.Draw(water)
draw.text((ct_w, ct_h), fn_str, font=fn, fill=(255, 255, 255, 100))
water = water.rotate(45)
# 2.图片合并，原图被水印覆盖
show_img = Image.alpha_composite(show_img, water)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def sharpening_file():
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGB')
show_img = show_img.filter(ImageFilter.SHARPEN)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def reverse_file():
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGB')
show_img = show_img.point(lambda x: 255 - x)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def mirror_file(val):
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGB')
if val == 'h':
show_img = show_img.transpose(Image.FLIP_LEFT_RIGHT)
else:
show_img = show_img.transpose(Image.FLIP_TOP_BOTTOM)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def withdraw_file():
img_list = globalvar.get_value('img_list_global')
num = len(img_list)
if num == 1: # 只有一张原图，不需要撤销
return
img_list.pop()
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None,
flag=3,
index=(len(img_list) - 1))
processing_setting.update_history()
def merge_file():
get_path = askopenfilename()
if not os.path.isfile(get_path):
print('不是文件')
return
img_list = globalvar.get_value('img_list_global')
im1 = img_list[len(img_list) - 1].convert('RGB')
im2 = Image.open(get_path).convert('RGB').resize(im1.size)
show_img = Image.blend(im1, im2, 0.5) # im1:"alpha im3:1-alpha透明度
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def cards_file():
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGB')
# show_img = np.array(show_img)
show_img.save('temp.jpg')
path = r'temp.jpg'
colors = g.ccbox(msg='请选择你要传入照片的背景色', title='证件照', choices=('红色', '蓝色'))
if colors == False:
img = cvtBackground(path, [180, 0, 0])
else:
img = cvtBackground(path, [0, 0, 180])
show_img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def Mosaic_file():
img_list = globalvar.get_value('img_list_global')
show_img = img_list[len(img_list) - 1].convert('RGB')
im = np.array(show_img)
show_img = im.copy()
p1, p2 = processing_setting.get_mouse_point()
left = min(p1[0], p2[0])
top = min(p1[1], p2[1])
right = max(p1[0], p2[0])
bottom = max(p1[1], p2[1])
do_mosaic(show_img, int(p1[0]), int(p1[1]), int(abs(right - left)),
int(abs(bottom - top)))
show_img = Image.fromarray(show_img)
img_list.append(show_img)
globalvar.set_value('img_list_global', img_list)
project_start.show_img_method(filePath=None, flag=1)
processing_setting.update_history()
def cut_file():
processing_setting.update_history()
pass
def ok_button_method():
img_list = globalvar.get_value('img_list_global')
last_img = globalvar.get_value('last_img_global')
img_list.append(last_img)
globalvar.set_value('img_list_global', img_list)
processing_setting.update_history()
