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import cv2
print("OpenCV Version: " + str(cv2.__version__))
# Creating QR Code
QRencoder = cv2.QRCodeEncoder.create();
encoded_info = "http://tecsingularity.com/"
qrcode = QRencoder.encode(encoded_info)
# Saving image
ffmpeg -i input.mp4 -vf vflip output_vflip.mp4
ffmpeg -i input.mp4 -vf hflip output_hflip.mp4
ffmpeg -i input.mp4 -vf vflip,hflip output_hvflip.mp4
pause
ffmpeg -f lavfi -i pal100bars=s=1920x1080:r=60:d=10 pal100bars.mp4
ffmpeg -f lavfi -i smptebars=s=1920x1080:r=60:d=10 smptebars.mp4
ffmpeg -f lavfi -i smptehdbars=s=1920x1080:r=60:d=10 smptehdbars.mp4
ffmpeg -f lavfi -i testsrc=s=1920x1080:r=60:d=10 testsrc.mp4
pause
from PIL import Image
import numpy as np
from wordcloud import WordCloud
import matplotlib.pyplot as plt
mask_array = np.array(Image.open('mask.png'))
text = open("test.txt",encoding='utf-8').read()
wordcloud_mask = WordCloud(mask=mask_array, background_color="white", max_font_size=250).generate(text)
from wordcloud import WordCloud
import matplotlib.pyplot as plt
stop_words = ["based", "using", "via", "for", "with", "on", "in", "of", "a", "and", "the", "to", "from", "by", "method", "non", "an", "toward","towards"]
text = open("test.txt",encoding='utf-8').read()
wordcloud = WordCloud(width=1920, height=1080, max_words=50,background_color="black", stopwords=stop_words, max_font_size=250).generate(text)
wordcloud.to_file("word_cloud_result.png")
from wordcloud import WordCloud
import matplotlib.pyplot as plt
text = open("test.txt",encoding='utf-8').read()
wordcloud = WordCloud(width=1920, height=1080, max_words=200,background_color="white").generate(text)
wordcloud.to_file("word_cloud_result.png")
plt.imshow(wordcloud)
from wordcloud import WordCloud
import matplotlib.pyplot as plt
text = WordCloud.__doc__
wordcloud = WordCloud().generate(text)
wordcloud.to_file("word_cloud_result.png")
plt.imshow(wordcloud)
import open3d as o3d
if __name__ == "__main__":
# Loading mesh data
print("Loading mesh data")
Mesh = o3d.io.read_triangle_mesh("bunny.ply")
# Calculation of normal vector
Mesh.compute_vertex_normals()
ffmpeg -i input.mp4 -vf "fade=t=in:st=0:d=1,fade=t=out:st=4:d=1" output.mp4
pause
ffmpeg -i input.mp4 -vf drawtext=fontfile="C\\:/Windows/Fonts/arial.ttf":x=10:y=10:fontsize=50:fontcolor=red:text="%{pts\\:hms}" output.mp4
pause