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#Python Daily Programming | Day-1 | Basic #Programming | #Factorial of Number

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Welcome to the Python Daily Programming series. In this series we will upload the daily one python program. So you will get the daily new python program.  I will upload the daily Python Program with an explanation at 5:00:PM. I have more than 300+ program ideas. I will start from very basic and will go to advance day by day. I will try to upload it every day. The programs that I will upload daily is 📌 Basic Program 📌 Array Programs 📌 List Programs 📌 Tuple, Dictionary, Set Programs 📌 File handling, Regex, Date time program 📌 Sorting and algorithm programs 📌 Image processing & OpenCV programs Today is the 1st day of it, We are going to learn about Factorial Program Program - 1 Factorial of Number using Python We need to first understand what is the factorial, wo if someone asks what is the factorial of 5, then you just need to do fact(5) = 5*4*3*2*1. So answer will be 120. So now we are implementing this logic into our Python program. def factorial_of_num(number): f...
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Tutorial of Face Mask Detection using Tensorflow Object Detection API

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Hello guys, Spidy is back with another tutorial of face mask detection using Tensorflow object detection API. So let's start This tutorial is based on this youtube video, watch it for full instructions. (1) Create the Dataset for Face Mask. Refer to this  video  for creating a dataset. (2) Download the Official Tensorflow repository  and Important Codes , Use 'object_detection' as a working directory. (3) Transform every image in the same resolution using "transform_image_resolution.py" which is available in "importnat.zip". (4) After that do  Imagelabelling  for every image, it should be perfect. Image Labelling Tool (5) Now just Follow the video. (6) In END you will get the result like this. So Guys, until that subscribe my channel. See you in the next one.
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Pose Estimation using Tensorflow and OpenCV

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So Guys Spidy is back with another video, In this Video I am showing you how you can do pose estimation using Tensorflow Deep Learning. OpenPose Estimation using Tensorflow So just Follow the my steps and see the video on YouTube. (1) Download the Zip :-  Download (2) install the swig :-  Swig Download (3) Put Swig in "tf-pose-estimation" and set the path of swig in environment variable. (4) Install pycocotools using this command- pip install "git+https://github.com/philferriere/cocoapi.git#egg=pycocotools&subdirectory=PythonAPI" After that remove "pycocotools" from "requirements.txt" (5) Now install another libraires using - pip install -r requirements.txt (6) Download the model from:-  Download Model (6) Change in the code, watch the video for full instruction. (7) Run "python3 run_webcam.py --camera video1.mp4" That's all for today, I will back with more interesting posts and videos, until that subscribe us on YouTube. ...
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