Extracting watermark from a video using Python The 2019 Stack Overflow Developer Survey...
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Extracting watermark from a video using Python
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Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Recording timeback seconds of video based on compared pixels from an imageExtracting Pixels From Image Byte[]Extracting information from filesExtracting lines from a bytearrayExtracting original values from cumulative sum valuesVideo Feed via TCP SocketAnalyzing the color composition of a videoGenerate video thumbnailExtracting specific words from PANDAS dataframeExtracting face features from selfies faster
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$begingroup$
I'm extracting a few frames from a video:
Comparing the similarity or equality of pixel color (from first two images)
Saving to a new image
Comparing the new image (conjunction of first two images) and the next image, etc.
Can you review my codes for efficiency and best coding practices?
Code
import sys
import os
import numpy as np
from PIL import Image, ImageDraw
def main(obr1,obr2):
img1= Image.open("%s" %(obr1))
img2= Image.open("%s" %(obr2))
im1 = img1.convert("RGBA")
im2 = img2.convert("RGBA")
pix1 = im1.load()
pix2 = im2.load()
im = Image.new("RGBA", (im1.width, im1.height), (0, 0, 0, 0))
draw = ImageDraw.Draw(im)
x = 0
y = 0
while y != im1.height-1 or x != im1.width-1:
if pix1[x,y] == pix2[x,y]:
draw.point((x,y),fill=pix1[x,y])
else:
p1 = np.array([(pix1[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
p2 = np.array([(pix2[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
squared_dist = np.sum(p1**2 + p2**2, axis=0)
dist = np.sqrt(squared_dist)
if dist < 200 and pix1[x,y] !=(0,0,0,0) and pix2[x,y] != (0,0,0,0):
color = (round(pix1[x,y][0]+pix2[x,y][0]/2), round(pix1[x,y][1]+pix2[x,y][1]/2), round(pix1[x,y][2]+pix2[x,y][2]/2), round(pix1[x,y][3]+pix2[x,y][3]/2))
#color=pix1[x,y]
draw.point((x,y),fill=color)
else:
draw.point((x,y),fill=(0,0,0,0))
if x == im1.width-1:
x=0
y=y+1
else:
x=x+1
im.save('test%s.png' %(z), 'PNG')
print("Zapisano obraz test%s.png" %(z))
imglist = sys.argv[1:]
z=0
while imglist != []:
exists = os.path.isfile("./test%s.png" % (z-1))
if exists:
obr1="test%s.png" % (z-1)
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
else:
obr1=imglist.pop()
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
python performance beginner image
edited 4 mins ago
Emma
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'm extracting a few frames from a video:
Comparing the similarity or equality of pixel color (from first two images)
Saving to a new image
Comparing the new image (conjunction of first two images) and the next image, etc.
Can you review my codes for efficiency and best coding practices?
Code
import sys
import os
import numpy as np
from PIL import Image, ImageDraw
def main(obr1,obr2):
img1= Image.open("%s" %(obr1))
img2= Image.open("%s" %(obr2))
im1 = img1.convert("RGBA")
im2 = img2.convert("RGBA")
pix1 = im1.load()
pix2 = im2.load()
im = Image.new("RGBA", (im1.width, im1.height), (0, 0, 0, 0))
draw = ImageDraw.Draw(im)
x = 0
y = 0
while y != im1.height-1 or x != im1.width-1:
if pix1[x,y] == pix2[x,y]:
draw.point((x,y),fill=pix1[x,y])
else:
p1 = np.array([(pix1[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
p2 = np.array([(pix2[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
squared_dist = np.sum(p1**2 + p2**2, axis=0)
dist = np.sqrt(squared_dist)
if dist < 200 and pix1[x,y] !=(0,0,0,0) and pix2[x,y] != (0,0,0,0):
color = (round(pix1[x,y][0]+pix2[x,y][0]/2), round(pix1[x,y][1]+pix2[x,y][1]/2), round(pix1[x,y][2]+pix2[x,y][2]/2), round(pix1[x,y][3]+pix2[x,y][3]/2))
#color=pix1[x,y]
draw.point((x,y),fill=color)
else:
draw.point((x,y),fill=(0,0,0,0))
if x == im1.width-1:
x=0
y=y+1
else:
x=x+1
im.save('test%s.png' %(z), 'PNG')
print("Zapisano obraz test%s.png" %(z))
imglist = sys.argv[1:]
z=0
while imglist != []:
exists = os.path.isfile("./test%s.png" % (z-1))
if exists:
obr1="test%s.png" % (z-1)
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
else:
obr1=imglist.pop()
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
python performance beginner image
edited 4 mins ago
Emma
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'm extracting a few frames from a video:
Comparing the similarity or equality of pixel color (from first two images)
Saving to a new image
Comparing the new image (conjunction of first two images) and the next image, etc.
Can you review my codes for efficiency and best coding practices?
Code
import sys
import os
import numpy as np
from PIL import Image, ImageDraw
def main(obr1,obr2):
img1= Image.open("%s" %(obr1))
img2= Image.open("%s" %(obr2))
im1 = img1.convert("RGBA")
im2 = img2.convert("RGBA")
pix1 = im1.load()
pix2 = im2.load()
im = Image.new("RGBA", (im1.width, im1.height), (0, 0, 0, 0))
draw = ImageDraw.Draw(im)
x = 0
y = 0
while y != im1.height-1 or x != im1.width-1:
if pix1[x,y] == pix2[x,y]:
draw.point((x,y),fill=pix1[x,y])
else:
p1 = np.array([(pix1[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
p2 = np.array([(pix2[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
squared_dist = np.sum(p1**2 + p2**2, axis=0)
dist = np.sqrt(squared_dist)
if dist < 200 and pix1[x,y] !=(0,0,0,0) and pix2[x,y] != (0,0,0,0):
color = (round(pix1[x,y][0]+pix2[x,y][0]/2), round(pix1[x,y][1]+pix2[x,y][1]/2), round(pix1[x,y][2]+pix2[x,y][2]/2), round(pix1[x,y][3]+pix2[x,y][3]/2))
#color=pix1[x,y]
draw.point((x,y),fill=color)
else:
draw.point((x,y),fill=(0,0,0,0))
if x == im1.width-1:
x=0
y=y+1
else:
x=x+1
im.save('test%s.png' %(z), 'PNG')
print("Zapisano obraz test%s.png" %(z))
imglist = sys.argv[1:]
z=0
while imglist != []:
exists = os.path.isfile("./test%s.png" % (z-1))
if exists:
obr1="test%s.png" % (z-1)
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
else:
obr1=imglist.pop()
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
python performance beginner image
edited 4 mins ago
Emma
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm extracting a few frames from a video:
Comparing the similarity or equality of pixel color (from first two images)
Saving to a new image
Comparing the new image (conjunction of first two images) and the next image, etc.
Can you review my codes for efficiency and best coding practices?
Code
import sys
import os
import numpy as np
from PIL import Image, ImageDraw
def main(obr1,obr2):
img1= Image.open("%s" %(obr1))
img2= Image.open("%s" %(obr2))
im1 = img1.convert("RGBA")
im2 = img2.convert("RGBA")
pix1 = im1.load()
pix2 = im2.load()
im = Image.new("RGBA", (im1.width, im1.height), (0, 0, 0, 0))
draw = ImageDraw.Draw(im)
x = 0
y = 0
while y != im1.height-1 or x != im1.width-1:
if pix1[x,y] == pix2[x,y]:
draw.point((x,y),fill=pix1[x,y])
else:
p1 = np.array([(pix1[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
p2 = np.array([(pix2[x,y][0]),(pix1[x,y][1]),(pix1[x,y][2])])
squared_dist = np.sum(p1**2 + p2**2, axis=0)
dist = np.sqrt(squared_dist)
if dist < 200 and pix1[x,y] !=(0,0,0,0) and pix2[x,y] != (0,0,0,0):
color = (round(pix1[x,y][0]+pix2[x,y][0]/2), round(pix1[x,y][1]+pix2[x,y][1]/2), round(pix1[x,y][2]+pix2[x,y][2]/2), round(pix1[x,y][3]+pix2[x,y][3]/2))
#color=pix1[x,y]
draw.point((x,y),fill=color)
else:
draw.point((x,y),fill=(0,0,0,0))
if x == im1.width-1:
x=0
y=y+1
else:
x=x+1
im.save('test%s.png' %(z), 'PNG')
print("Zapisano obraz test%s.png" %(z))
imglist = sys.argv[1:]
z=0
while imglist != []:
exists = os.path.isfile("./test%s.png" % (z-1))
if exists:
obr1="test%s.png" % (z-1)
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
else:
obr1=imglist.pop()
obr2=imglist.pop()
print("Porównywanie obraza %s i %s" % (obr1,obr2))
main(obr1,obr2)
print("Analiza skończona")
z=z+1
python performance beginner image
python performance beginner image
edited 4 mins ago
Emma
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 4 mins ago
Emma
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 4 mins ago
Emma
2001215
edited 4 mins ago
Emma
2001215
edited 4 mins ago
Emma
2001215
2001215
asked 1 hour ago
FejorFejor
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
FejorFejor
112
asked 1 hour ago
FejorFejor
112
112
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Fejor is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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