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Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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This commit is contained in:
Alexander Alekhin
2020-02-20 19:45:21 +03:00
parent 1f695c4532 150c29356a
commit 96b26dc8f4
28 changed files with 1115 additions and 147 deletions
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samples/python/drawing.py
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#!/usr/bin/env python
'''
This program demonstrates OpenCV drawing and text output functions by drawing different shapes and text strings
Usage :
python3 drawing.py
Press any button to exit
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
# Drawing Lines
def lines():
for i in range(NUMBER*2):
pt1, pt2 = [], []
pt1.append(np.random.randint(x1, x2))
pt1.append(np.random.randint(y1, y2))
pt2.append(np.random.randint(x1, x2))
pt2.append(np.random.randint(y1, y2))
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
arrowed = np.random.randint(0, 6)
if (arrowed<3):
cv.line(image, tuple(pt1), tuple(pt2), color, np.random.randint(1, 10), lineType)
else:
cv.arrowedLine(image, tuple(pt1), tuple(pt2), color, np.random.randint(1, 10), lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY)>=0:
return
# Drawing Rectangle
def rectangle():
for i in range(NUMBER*2):
pt1, pt2 = [], []
pt1.append(np.random.randint(x1, x2))
pt1.append(np.random.randint(y1, y2))
pt2.append(np.random.randint(x1, x2))
pt2.append(np.random.randint(y1, y2))
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
thickness = np.random.randint(-3, 10)
marker = np.random.randint(0, 10)
marker_size = np.random.randint(30, 80)
if (marker > 5):
cv.rectangle(image, tuple(pt1), tuple(pt2), color, max(thickness, -1), lineType)
else:
cv.drawMarker(image, tuple(pt1), color, marker, marker_size)
cv.imshow(wndname, image)
if cv.waitKey(DELAY)>=0:
return
# Drawing ellipse
def ellipse():
for i in range(NUMBER*2):
center = []
center.append(np.random.randint(x1, x2))
center.append(np.random.randint(x1, x2))
axes = []
axes.append(np.random.randint(0, 200))
axes.append(np.random.randint(0, 200))
angle = np.random.randint(0, 180)
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
thickness = np.random.randint(-1, 9)
cv.ellipse(image, tuple(center), tuple(axes), angle, angle-100, angle + 200, color, thickness, lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY)>=0:
return
# Drawing Polygonal Curves
def polygonal():
for i in range(NUMBER):
pt = [(0, 0)]*6
pt = np.resize(pt, (2, 3, 2))
pt[0][0][0] = np.random.randint(x1, x2)
pt[0][0][1] = np.random.randint(y1, y2)
pt[0][1][0] = np.random.randint(x1, x2)
pt[0][1][1] = np.random.randint(y1, y2)
pt[0][2][0] = np.random.randint(x1, x2)
pt[0][2][1] = np.random.randint(y1, y2)
pt[1][0][0] = np.random.randint(x1, x2)
pt[1][0][1] = np.random.randint(y1, y2)
pt[1][1][0] = np.random.randint(x1, x2)
pt[1][1][1] = np.random.randint(y1, y2)
pt[1][2][0] = np.random.randint(x1, x2)
pt[1][2][1] = np.random.randint(y1, y2)
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
alist = []
for k in pt[0]:
alist.append(k)
for k in pt[1]:
alist.append(k)
ppt = np.array(alist)
cv.polylines(image, [ppt], True, color, thickness = np.random.randint(1, 10), lineType = lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY) >= 0:
return
# fills an area bounded by several polygonal contours
def fill():
for i in range(NUMBER):
pt = [(0, 0)]*6
pt = np.resize(pt, (2, 3, 2))
pt[0][0][0] = np.random.randint(x1, x2)
pt[0][0][1] = np.random.randint(y1, y2)
pt[0][1][0] = np.random.randint(x1, x2)
pt[0][1][1] = np.random.randint(y1, y2)
pt[0][2][0] = np.random.randint(x1, x2)
pt[0][2][1] = np.random.randint(y1, y2)
pt[1][0][0] = np.random.randint(x1, x2)
pt[1][0][1] = np.random.randint(y1, y2)
pt[1][1][0] = np.random.randint(x1, x2)
pt[1][1][1] = np.random.randint(y1, y2)
pt[1][2][0] = np.random.randint(x1, x2)
pt[1][2][1] = np.random.randint(y1, y2)
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
alist = []
for k in pt[0]:
alist.append(k)
for k in pt[1]:
alist.append(k)
ppt = np.array(alist)
cv.fillPoly(image, [ppt], color, lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY) >= 0:
return
# Drawing Circles
def circles():
for i in range(NUMBER):
center = []
center.append(np.random.randint(x1, x2))
center.append(np.random.randint(x1, x2))
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
cv.circle(image, tuple(center), np.random.randint(0, 300), color, np.random.randint(-1, 9), lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY) >= 0:
return
# Draws a text string
def string():
for i in range(NUMBER):
org = []
org.append(np.random.randint(x1, x2))
org.append(np.random.randint(x1, x2))
color = "%06x" % np.random.randint(0, 0xFFFFFF)
color = tuple(int(color[i:i+2], 16) for i in (0, 2 ,4))
cv.putText(image, "Testing text rendering", tuple(org), np.random.randint(0, 8), np.random.randint(0, 100)*0.05+0.1, color, np.random.randint(1, 10), lineType)
cv.imshow(wndname, image)
if cv.waitKey(DELAY) >= 0:
return
def string1():
textsize = cv.getTextSize("OpenCV forever!", cv.FONT_HERSHEY_COMPLEX, 3, 5)
org = (int((width - textsize[0][0])/2), int((height - textsize[0][1])/2))
for i in range(0, 255, 2):
image2 = np.array(image) - i
cv.putText(image2, "OpenCV forever!", org, cv.FONT_HERSHEY_COMPLEX, 3, (i, i, 255), 5, lineType)
cv.imshow(wndname, image2)
if cv.waitKey(DELAY) >= 0:
return
if __name__ == '__main__':
print(__doc__)
wndname = "Drawing Demo"
NUMBER = 100
DELAY = 5
width, height = 1000, 700
lineType = cv.LINE_AA # change it to LINE_8 to see non-antialiased graphics
x1, x2, y1, y2 = -width/2, width*3/2, -height/2, height*3/2
image = np.zeros((height, width, 3), dtype = np.uint8)
cv.imshow(wndname, image)
cv.waitKey(DELAY)
lines()
rectangle()
ellipse()
polygonal()
fill()
circles()
string()
string1()
cv.waitKey(0)
cv.destroyAllWindows()
samples/python/grabcut.py
+7 -9
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@@ -11,10 +11,10 @@ USAGE:
README FIRST:
Two windows will show up, one for input and one for output.
At first, in input window, draw a rectangle around the object using
mouse right button. Then press 'n' to segment the object (once or a few times)
At first, in input window, draw a rectangle around the object using the
right mouse button. Then press 'n' to segment the object (once or a few times)
For any finer touch-ups, you can press any of the keys below and draw lines on
the areas you want. Then again press 'n' for updating the output.
the areas you want. Then again press 'n' to update the output.
Key '0' - To select areas of sure background
Key '1' - To select areas of sure foreground
@@ -44,8 +44,8 @@ class App():
DRAW_BG = {'color' : BLACK, 'val' : 0}
DRAW_FG = {'color' : WHITE, 'val' : 1}
DRAW_PR_FG = {'color' : GREEN, 'val' : 3}
DRAW_PR_BG = {'color' : RED, 'val' : 2}
DRAW_PR_FG = {'color' : GREEN, 'val' : 3}
# setting up flags
rect = (0,0,1,1)
@@ -160,14 +160,12 @@ class App():
print(""" For finer touchups, mark foreground and background after pressing keys 0-3
and again press 'n' \n""")
try:
bgdmodel = np.zeros((1, 65), np.float64)
fgdmodel = np.zeros((1, 65), np.float64)
if (self.rect_or_mask == 0): # grabcut with rect
bgdmodel = np.zeros((1, 65), np.float64)
fgdmodel = np.zeros((1, 65), np.float64)
cv.grabCut(self.img2, self.mask, self.rect, bgdmodel, fgdmodel, 1, cv.GC_INIT_WITH_RECT)
self.rect_or_mask = 1
elif self.rect_or_mask == 1: # grabcut with mask
bgdmodel = np.zeros((1, 65), np.float64)
fgdmodel = np.zeros((1, 65), np.float64)
elif (self.rect_or_mask == 1): # grabcut with mask
cv.grabCut(self.img2, self.mask, self.rect, bgdmodel, fgdmodel, 1, cv.GC_INIT_WITH_MASK)
except:
import traceback
samples/python/laplace.py
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#!/usr/bin/env python
'''
This program demonstrates Laplace point/edge detection using
OpenCV function Laplacian()
It captures from the camera of your choice: 0, 1, ... default 0
Usage:
python laplace.py <ddepth> <smoothType> <sigma>
If no arguments given default arguments will be used.
Keyboard Shortcuts:
Press space bar to exit the program.
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
import sys
def main():
# Declare the variables we are going to use
ddepth = cv.CV_16S
smoothType = "MedianBlur"
sigma = 3
if len(sys.argv)==4:
ddepth = sys.argv[1]
smoothType = sys.argv[2]
sigma = sys.argv[3]
# Taking input from the camera
cap=cv.VideoCapture(0)
# Create Window and Trackbar
cv.namedWindow("Laplace of Image", cv.WINDOW_AUTOSIZE)
cv.createTrackbar("Kernel Size Bar", "Laplace of Image", sigma, 15, lambda x:x)
# Printing frame width, height and FPS
print("=="*40)
print("Frame Width: ", cap.get(cv.CAP_PROP_FRAME_WIDTH), "Frame Height: ", cap.get(cv.CAP_PROP_FRAME_HEIGHT), "FPS: ", cap.get(cv.CAP_PROP_FPS))
while True:
# Reading input from the camera
ret, frame = cap.read()
if ret == False:
print("Can't open camera/video stream")
break
# Taking input/position from the trackbar
sigma = cv.getTrackbarPos("Kernel Size Bar", "Laplace of Image")
# Setting kernel size
ksize = (sigma*5)|1
# Removing noise by blurring with a filter
if smoothType == "GAUSSIAN":
smoothed = cv.GaussianBlur(frame, (ksize, ksize), sigma, sigma)
if smoothType == "BLUR":
smoothed = cv.blur(frame, (ksize, ksize))
if smoothType == "MedianBlur":
smoothed = cv.medianBlur(frame, ksize)
# Apply Laplace function
laplace = cv.Laplacian(smoothed, ddepth, 5)
# Converting back to uint8
result = cv.convertScaleAbs(laplace, (sigma+1)*0.25)
# Display Output
cv.imshow("Laplace of Image", result)
k = cv.waitKey(30)
if k == 27:
return
if __name__ == "__main__":
print(__doc__)
main()
cv.destroyAllWindows()