代码拉取完成,页面将自动刷新
import numpy as np
import cv2
from PIL import Image
def rotate_cut_img(im, degree, x_center, y_center, w, h, leftAdjust=False, rightAdjust=False, alph=0.2):
# degree_ = degree * 180.0 / np.pi
# print(degree_)
right = 0
left = 0
if rightAdjust:
right = 1
if leftAdjust:
left = 1
box = (max(1, x_center - w / 2 - left * alph * (w / 2))
, y_center - h / 2, # ymin
min(x_center + w / 2 + right * alph * (w / 2), im.size[0] - 1)
, y_center + h / 2) # ymax
newW = box[2] - box[0]
newH = box[3] - box[1]
tmpImg = im.rotate(degree, center=(x_center, y_center)).crop(box)
return tmpImg, newW, newH
def crop_rect(img, rect, alph=0.15):
img = np.asarray(img)
# get the parameter of the small rectangle
# print("rect!")
# print(rect)
center, size, angle = rect[0], rect[1], rect[2]
min_size = min(size)
if angle > -45:
center, size = tuple(map(int, center)), tuple(map(int, size))
# angle-=270
size = (int(size[0] + min_size * alph), int(size[1] + min_size * alph))
height, width = img.shape[0], img.shape[1]
M = cv2.getRotationMatrix2D(center, angle, 1)
# size = tuple([int(rect[1][1]), int(rect[1][0])])
img_rot = cv2.warpAffine(img, M, (width, height))
# cv2.imwrite("debug_im/img_rot.jpg", img_rot)
img_crop = cv2.getRectSubPix(img_rot, size, center)
else:
center = tuple(map(int, center))
size = tuple([int(rect[1][1]), int(rect[1][0])])
size = (int(size[0] + min_size * alph), int(size[1] + min_size * alph))
angle -= 270
height, width = img.shape[0], img.shape[1]
M = cv2.getRotationMatrix2D(center, angle, 1)
img_rot = cv2.warpAffine(img, M, (width, height))
# cv2.imwrite("debug_im/img_rot.jpg", img_rot)
img_crop = cv2.getRectSubPix(img_rot, size, center)
img_crop = Image.fromarray(img_crop)
return img_crop
def draw_bbox(img_path, result, color=(255, 0, 0), thickness=2):
if isinstance(img_path, str):
img_path = cv2.imread(img_path)
# img_path = cv2.cvtColor(img_path, cv2.COLOR_BGR2RGB)
img_path = img_path.copy()
for point in result:
point = point.astype(int)
cv2.line(img_path, tuple(point[0]), tuple(point[1]), color, thickness)
cv2.line(img_path, tuple(point[1]), tuple(point[2]), color, thickness)
cv2.line(img_path, tuple(point[2]), tuple(point[3]), color, thickness)
cv2.line(img_path, tuple(point[3]), tuple(point[0]), color, thickness)
return img_path
def sort_box(boxs):
res = []
for box in boxs:
# box = [x if x>0 else 0 for x in box ]
x1, y1, x2, y2, x3, y3, x4, y4 = box[:8]
newBox = [[x1, y1], [x2, y2], [x3, y3], [x4, y4]]
# sort x
newBox = sorted(newBox, key=lambda x: x[0])
x1, y1 = sorted(newBox[:2], key=lambda x: x[1])[0]
index = newBox.index([x1, y1])
newBox.pop(index)
newBox = sorted(newBox, key=lambda x: -x[1])
x4, y4 = sorted(newBox[:2], key=lambda x: x[0])[0]
index = newBox.index([x4, y4])
newBox.pop(index)
newBox = sorted(newBox, key=lambda x: -x[0])
x2, y2 = sorted(newBox[:2], key=lambda x: x[1])[0]
index = newBox.index([x2, y2])
newBox.pop(index)
newBox = sorted(newBox, key=lambda x: -x[1])
x3, y3 = sorted(newBox[:2], key=lambda x: x[0])[0]
res.append([x1, y1, x2, y2, x3, y3, x4, y4])
return res
def solve(box):
"""
绕 cx,cy点 w,h 旋转 angle 的坐标
x = cx-w/2
y = cy-h/2
x1-cx = -w/2*cos(angle) +h/2*sin(angle)
y1 -cy= -w/2*sin(angle) -h/2*cos(angle)
h(x1-cx) = -wh/2*cos(angle) +hh/2*sin(angle)
w(y1 -cy)= -ww/2*sin(angle) -hw/2*cos(angle)
(hh+ww)/2sin(angle) = h(x1-cx)-w(y1 -cy)
"""
x1, y1, x2, y2, x3, y3, x4, y4 = box[:8]
cx = (x1 + x3 + x2 + x4) / 4.0
cy = (y1 + y3 + y4 + y2) / 4.0
w = (np.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) + np.sqrt((x3 - x4) ** 2 + (y3 - y4) ** 2)) / 2
h = (np.sqrt((x2 - x3) ** 2 + (y2 - y3) ** 2) + np.sqrt((x1 - x4) ** 2 + (y1 - y4) ** 2)) / 2
sinA = (h * (x1 - cx) - w * (y1 - cy)) * 1.0 / (h * h + w * w) * 2
angle = np.arcsin(sinA)
return angle, w, h, cx, cy
def sorted_boxes(dt_boxes):
"""
Sort text boxes in order from top to bottom, left to right
args:
dt_boxes(array):detected text boxes with shape [4, 2]
return:
sorted boxes(array) with shape [4, 2]
"""
num_boxes = dt_boxes.shape[0]
sorted_boxes = sorted(dt_boxes, key=lambda x: (x[0][1], x[0][0]))
_boxes = list(sorted_boxes)
for i in range(num_boxes - 1):
if abs(_boxes[i+1][0][1] - _boxes[i][0][1]) < 10 and \
(_boxes[i + 1][0][0] < _boxes[i][0][0]):
tmp = _boxes[i]
_boxes[i] = _boxes[i + 1]
_boxes[i + 1] = tmp
return _boxes
def get_rotate_crop_image(img, points):
img_height, img_width = img.shape[0:2]
left = int(np.min(points[:, 0]))
right = int(np.max(points[:, 0]))
top = int(np.min(points[:, 1]))
bottom = int(np.max(points[:, 1]))
img_crop = img[top:bottom, left:right, :].copy()
points[:, 0] = points[:, 0] - left
points[:, 1] = points[:, 1] - top
img_crop_width = int(np.linalg.norm(points[0] - points[1]))
img_crop_height = int(np.linalg.norm(points[0] - points[3]))
pts_std = np.float32([[0, 0], [img_crop_width, 0],\
[img_crop_width, img_crop_height], [0, img_crop_height]])
M = cv2.getPerspectiveTransform(points, pts_std)
dst_img = cv2.warpPerspective(
img_crop,
M, (img_crop_width, img_crop_height),
borderMode=cv2.BORDER_REPLICATE)
dst_img_height, dst_img_width = dst_img.shape[0:2]
if dst_img_height * 1.0 / dst_img_width >= 1.5:
dst_img = np.rot90(dst_img)
return dst_img
def app_url(version, name):
url = '/{}/{}'.format(version, name)
return url
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。