Tech news....... 🖥
Vodafone Idea (Vi) plans to fold up its 3G services by FY22 as it bids to move towards becoming 4G-focussed telco in a bid to boost revenue.
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Vodafone Idea (Vi) plans to fold up its 3G services by FY22 as it bids to move towards becoming 4G-focussed telco in a bid to boost revenue.
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AK Python
UPNEXT:Easter eggs (Hidden messages) in python😳
VIDEO UPDATE: Editing is going on 🎥, Video will be out today 👍
Tech news......🖥
Facebook's Australian media ban is taking down official government pages.
Fire agencies and health departments posts have disappeared from the platform.
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Facebook's Australian media ban is taking down official government pages.
Fire agencies and health departments posts have disappeared from the platform.
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#YKYG:For any technical support about Code, Projects, Doubts kindly ping me on Instagram.
Instagram: akpythonyt 🌟
Instagram: akpythonyt 🌟
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🗣UPDATE:Object detection using Python will uploaded soon⚡️
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Tech news..... 🖥
Elonmusk is officially the Richest man in the world again after space X valuation surge.
$200 billion dollars 😎
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Elonmusk is officially the Richest man in the world again after space X valuation surge.
$200 billion dollars 😎
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🗣 UPDATE: Object detection project video will be uploaded on 8:00 PM.
Staytuned🌟
Staytuned🌟
#ykyg :
Did you know?
Amazon.com is not the original name of the website.
The very first name Jeff Bezos registered was Cadabra, Inc.
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Did you know?
Amazon.com is not the original name of the website.
The very first name Jeff Bezos registered was Cadabra, Inc.
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from imageai.Classification import ImageClassification
import os
executionpath=os.getcwd()
print(executionpath)
detection=ImageClassification()
detection.setModelTypeAsResNet50()
detection.setModelPath(executionpath + "/resnet50_imagenet_tf.2.0.h5")
detection.loadModel()
detections,percentageprobabilites=detection.classifyImage("Testimage.jpg",result_count=5)
for Index in range(len(detections)):
print(detections[Index],":",percentageprobabilites[Index])
import os
executionpath=os.getcwd()
print(executionpath)
detection=ImageClassification()
detection.setModelTypeAsResNet50()
detection.setModelPath(executionpath + "/resnet50_imagenet_tf.2.0.h5")
detection.loadModel()
detections,percentageprobabilites=detection.classifyImage("Testimage.jpg",result_count=5)
for Index in range(len(detections)):
print(detections[Index],":",percentageprobabilites[Index])
Tech news..... 🖥
A South Korean petplus lab company has created the world's first AI-powered dog collar.
That can analyse emotions of canines and help owners better understand their feelings.😍
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A South Korean petplus lab company has created the world's first AI-powered dog collar.
That can analyse emotions of canines and help owners better understand their feelings.😍
Share support ✨