Phase2

1.K-NN for indicate image:

• pip3 install -U scikit-learn installing scikit-learn
• pip3 install imutils installing imutils
• pip install opencv-python installing cv2
• Run command python3 newKNN.py -d DATA_FOLDER

2.Save the thumbnail picture using - pdf2image:

• pip3 install pdf2image
• pip3 install temp
• pip3 install tempfile
• Run command python3 new_thumbnailPDF.py

3.Randomly select a group of PDF files:

• Run command python randomWhiteList.py Number

4.Replace a file names of PDF to Kind.Number.pdf:

• Run command python Myrename.py StartIndex Kind

5.Extract /Root/Lang attribute and choose language for tessarcat:

• pip3 install PyPDF2
• Run command python3 detectLang2.py

6.Detect if image is blur:

• Run command python detectBlur.py

7.elbowMetod find optimale k:

• Run command python3 elbowMetod -d DATA_FOLDER

8.KMC for clustering image:

• pip3 install seaborn
• Run command python KMC.py -d DATA_FOLDER