def people_Time_template(fgPath, txt):
bgPath = "Time.png"
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = fgImg.shape
if h / w < 7 / 5:
fgImg = fgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
fgImg = cv2.resize(fgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
fgImg = cv2.resize(fgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
img = il.imgadd(bgImg, fgImg, [0.5, 0.5], 1080, 1080)
hi, wi, channeli = img.shape
# 生成文字的图像
ROI_txt = img[int(2 * hi / 3):hi, 0:int(wi / 2)]
txtImage([txt, ''], "horizontal", ROI_txt)
txt_img = cv2.imread(mainroot + "txt_image/img" + str(1) + ".png", -1)
txtpos = [[0.05, 0.7, -1]]
img = il.imgadd(txt_img, img, [txtpos[0][1], txtpos[0][0]],
txt_img.shape[0], 1080, txtpos[0][-1])
cv2.imwrite(mainroot + "results/results_time.png", img,
[int(cv2.IMWRITE_PNG_COMPRESSION), 3])
def addallimage(ImgPath, txtpos, outputPath):
logoPath = mainroot + "logo/logo.jpg"
img = cv2.imread(ImgPath, -1)
logoimg = cv2.imread(logoPath, -1)
for ti in range(len(txtpos) - 1):
txt_img_path = mainroot + "txt_image/img" + str(ti + 1) + ".png"
txt_img = cv2.imread(txt_img_path, -1)
os.remove(txt_img_path)
txth, txtw, txtchannel = txt_img.shape
img = il.imgadd(txt_img, img, [txtpos[ti][1], txtpos[ti][0]], txth,
1080, txtpos[ti][-1])
img = il.imgadd(logoimg, img, [txtpos[-1][1], txtpos[-1][0]],
int(1080 / 15), 1080)
cv2.imwrite(outputPath, img, [int(cv2.IMWRITE_PNG_COMPRESSION), 3])
def template3(bgPath, fgPath, txt):
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = bgImg.shape
if h / w < 7 / 5:
bgImg = bgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
fgImg = il.img_circle(fgImg)
img = il.imgadd(fgImg, bgImg, [0.5, 0.5], int(1 * 1080 / 2), 1080)
hi, wi, channeli = img.shape
ROI_txt = img[int(1 * hi / 9):int(8 * hi / 9), int(wi / 2):wi]
txtImage(txt, "vertical", ROI_txt)
pos = [[0.99, 1 / 9, 1], [0.1, 0.5, 0], [0.5, 0.95, 0]]
print("template 3")
return img, pos
def template2(bgPath, fgPath, txt):
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = bgImg.shape
if h / w < 7 / 5:
bgImg = bgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
hi, wi, channeli = bgImg.shape
# 前景大小
hf, wf, channelf = fgImg.shape
# 选择合适的前景大小
fg_hsize = min(0.666 * wi * hf / wf, 0.666 * hi)
img = il.imgadd(fgImg, bgImg, [0.8, 0.5], round(fg_hsize), 1080)
#生成文字的图像和位置
ROI_txt = img[int(hi / 6):int(1 * hi / 3), int(wi / 8):int(7 * wi / 8)]
txtImage(txt, "horizontal", ROI_txt)
pos = [[0.5, 0.2, 0], [0.5, 0.4, 0], [0.05, 0.95, 0]]
print("template 2")
return img, pos
def template8(bgPath, fgPath, txt):
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = bgImg.shape
if h / w < 7 / 5:
bgImg = bgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
fgImg = il.img_circle(fgImg)
img = il.imgadd(fgImg, bgImg, [0.5, 0.5], int(1 * 1080 / 2), 1080)
hi, wi, channeli = img.shape
#第一段文字
ROI_txt = img[int(1 * hi / 9):int(8 * hi / 9), int(wi / 2):wi]
txtImage([txt[0], ''], "vertical", ROI_txt)
#第二段文字
ROI_txt = img[int(3 * hi / 4):hi, 0:int(wi / 2)]
txtImage(['', txt[1]], "horizontal", ROI_txt)
pos = [[0.99, 1 / 9, 1], [0.05, 3 / 4, -1], [0.5, 0.95, 0]]
print("template 8")
return img, pos
def template7(bgPath, fgPath, txt):
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = bgImg.shape
if h / w < 7 / 5:
bgImg = bgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
hi, wi, channeli = bgImg.shape
hf, wf, channelf = fgImg.shape
# 选择合适的前景大小
fg_hsize = min(0.8 * wi * hf / wf, 0.8 * hi)
img = il.imgadd(fgImg, bgImg, [0.5, 0.5], int(fg_hsize), 1080)
ROI_txt = img[0:int(hi / 2), int(wi / 2):int(wi)]
txtImage(txt, "horizontal", ROI_txt)
txtpos = [[0.95, 0.05, 1], [0.95, 0.8, 1], [0.048, 0.95, 0]]
print("template 7")
return img, txtpos
def template5(bgPath, fgPath, txt):
bgImg = cv2.imread(bgPath, -1)
fgImg = cv2.imread(fgPath, -1)
h, w, channel = bgImg.shape
if h / w < 7 / 5:
bgImg = bgImg[0:h,
int(w / 2 - h * 5.0 / 14.0):int(w / 2 + h * 5.0 /
14.0)] # crop background
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
else:
bgImg = cv2.resize(bgImg, (774, 1080),
interpolation=cv2.INTER_AREA) # crop background
hi, wi, channeli = bgImg.shape
hf, wf, channelf = fgImg.shape
fg_hsize = min(0.7 * wi * hf / wf, 0.7 * hi)
img = il.imgadd(fgImg, bgImg, [0.6, 0.3], round(fg_hsize), 1080)
ROI_txt = img[int(hi / 2):hi, int(wi / 2):wi]
txtImage(txt, "horizontal", ROI_txt)
txtpos = [[0.9, 0.1, 1], [1, 0.6, 1], [0.1, 0.1, 0]]
print("template 5")
return img, txtpos
