117 lines
3.4 KiB
Python
117 lines
3.4 KiB
Python
import base64
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import cv2
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import numpy as np
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def cv2_to_base64(image):
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data = cv2.imencode('.jpg', image)[1]
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return base64.b64encode(data.tobytes()).decode('utf8')
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def base64_to_cv2(b64str):
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data = base64.b64decode(b64str.encode('utf8'))
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data = np.fromstring(data, np.uint8)
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data = cv2.imdecode(data, cv2.IMREAD_COLOR)
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return data
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def expand_crop(image, box, expand_ratio=0.0):
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imgh, imgw, c = image.shape
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xmin, ymin, xmax, ymax = box
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org_rect = [xmin, ymin, xmax, ymax]
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h_half = (ymax - ymin) * (1 + expand_ratio) / 2.
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w_half = (xmax - xmin) * (1 + expand_ratio) / 2.
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if h_half > w_half * 4 / 3:
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w_half = h_half * 0.75
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center = [(ymin + ymax) / 2., (xmin + xmax) / 2.]
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ymin = max(0, int(center[0] - h_half))
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ymax = min(imgh - 1, int(center[0] + h_half))
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xmin = max(0, int(center[1] - w_half))
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xmax = min(imgw - 1, int(center[1] + w_half))
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return image[ymin:ymax, xmin:xmax, :].copy(), [xmin, ymin, xmax, ymax], org_rect
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def crop_image_with_box(image, boxes):
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crop_res = []
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for box in boxes:
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crop_image, new_box, ori_box = expand_crop(image, box)
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# import cv2
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# cv2.imshow('1',crop_image)
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# cv2.waitKey(0)
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if crop_image is not None:
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crop_res.append(crop_image)
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return crop_res
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def four_point_transform(image, pts):
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# # 获取输入坐标点
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# (tl, tr, br, bl) = pts
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# # 计算输入的w和h的值
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# widthA = np.sqrt(((br[0] - bl[0])**2) + ((br[1] - bl[1])**2))
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# widthB = np.sqrt(((tr[0] - tl[0])**2) + ((tr[1] - tl[1])**2))
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# maxWidth = max(int(widthA), int(widthB))
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# heightA = np.sqrt(((tr[0] - br[0])**2) + ((tr[1] - br[1])**2))
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# heightB = np.sqrt(((tl[0] - bl[0])**2) + ((tl[1] - bl[1])**2))
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# maxHeight = max(int(heightA), int(heightB))
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maxWidth = 960
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maxHeight = 960
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# 变化后对应坐标位置
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dst = np.array([[0, 0],
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[maxWidth - 1, 0],
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[maxWidth - 1, maxHeight - 1],
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[0, maxHeight - 1]],
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dtype='float32')
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# 计算变换矩阵
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warp_mat = cv2.getPerspectiveTransform(np.float32(pts), dst)
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warped = cv2.warpPerspective(image, warp_mat, (maxWidth, maxHeight))
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return warped
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def rect_intersect_area(rect1, rect2):
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"""
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计算两个矩形的相交面积。
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rect1, rect2: 形状为(4,)的数组，包含[x1, y1, x2, y2]
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"""
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x1, y1, x2, y2 = rect1
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X1, Y1, X2, Y2 = rect2
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# 计算相交矩形的坐标
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ix1 = max(x1, X1)
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iy1 = max(y1, Y1)
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ix2 = min(x2, X2)
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iy2 = min(y2, Y2)
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# 检查是否有相交
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if ix1 < ix2 and iy1 < iy2:
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# 计算相交面积
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area = (ix2 - ix1) * (iy2 - iy1)
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return area
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else:
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return 0
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def rect_intersect(rect1, rect2):
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"""
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计算两个矩形的相交面积。
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rect1, rect2: 形状为(4,)的数组，包含[x1, y1, x2, y2]
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"""
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x1, y1, x2, y2 = rect1
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X1, Y1, X2, Y2 = rect2
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# 计算相交矩形的坐标
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ix1 = max(x1, X1)
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iy1 = max(y1, Y1)
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ix2 = min(x2, X2)
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iy2 = min(y2, Y2)
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# 检查是否有相交
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# if ix1 < ix2 and iy1 < iy2:
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# 计算相交面积
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if (ix2 - ix1) > 10 and (iy2 - iy1) > 10:
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return True
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else:
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return False |