pixelconversion.py

# -*- coding: utf-8 -*-
"""pixelconversion.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1hfdgkYOw8w6DdJqsZx8txmw8INUGxesl
"""


# pip install pymupdf -q

"""### Imports"""

import fitz
from PIL import Image
import numpy as np
import cv2
import db

"""### Open PDF and draw a rectangle on it using Fitz"""
def openDrawPDF(path):
  doc = fitz.open(path)
  out = fitz.open()  # output PDF
  page = doc[0]
  print(page.rotation)
  pix = page.get_pixmap()  # render page to an image
  pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
  img=np.array(pl)

  img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
  ratio =  pix.width / img.shape[1]

  imgGry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  imgBW=cv2.threshold(imgGry, 250, 255, cv2.THRESH_BINARY_INV)[1]
  contours, hierarchy = cv2.findContours(imgBW, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

  newcontours = contours[2:]
  areas = [cv2.contourArea(c) for c in newcontours]
  max_index2 = np.argmax(areas)
  contour=newcontours[max_index2]
  
  area=cv2.contourArea(contour)
  if area >500:
    perimeter = cv2.arcLength(contour, True)
    approx = cv2.approxPolyDP(contour, 0.01* perimeter, True)
  shape=[]
  for point in approx:
      x1, y1 = point[0]

      shape.append([(int(x1*ratio)),(int(y1*ratio))])
      cv2.circle (img, (x1, y1), 5, 255, 5)

  rotate=0
  if page.rect.height > page.rect.width:
    rectText=fitz.Rect(300, 200, (page.rect.width-80),( page.rect.width+80) )
    rotate=0
  else:
    rectText=fitz.Rect(500, 200, (page.rect.height-80),( page.rect.height+80) )
    rotate=90


  if page.rotation !=0:
    rect =  fitz.Rect(shape[0][1],shape[0][0],shape[2][1],shape[2][0])
  else:
    rect= fitz.Rect(shape[0][0],shape[0][1],shape[2][0],shape[2][1])
  annot = page.add_rect_annot( rect=rect )  # 'rectangle'
  annot.set_colors( fill=(75/255,0,130/255) ,stroke=(75/255,0,130/255) )
  annot.set_opacity(0.9)
  annot.set_border(border=None, width=0)
  annot.update()

  text = """Scale Document"""
  annot1=page.add_freetext_annot(rectText, text, fontsize=45, fontname='helv', border_color=(1,1,1), text_color=(1,1,1), rotate=rotate, align=1)
  annot1.update()

  return doc
"""### Extract color"""

def DetectColor(img,color=0):

  imgCopy=img.copy()
  imgCopy=cv2.cvtColor(imgCopy,cv2.COLOR_BGR2HSV)
  tol=5 #tolerance
  # color=hexRGB(color)
  h,s,v = cv2.cvtColor(np.uint8([[[color[2],color[1],color[0]]]]),cv2.COLOR_BGR2HSV)[0][0]

  lower =np.array( [h- tol, 100, 100 ], dtype='uint8')
  upper = np.array( [h + tol, 255, 255],dtype='uint8')

  mask = cv2.inRange(imgCopy, lower , upper)

  detectedColors = cv2.bitwise_and(imgCopy,imgCopy, mask= mask)   # Bitwise-AND mask and original image

  kernel=np.ones((3,3),np.uint8)
  mask=cv2.dilate(mask,kernel, iterations=5)
  mask=cv2.erode(mask,kernel, iterations=4)

  detectedColors=cv2.dilate(detectedColors,kernel, iterations=5)
  detectedColors=cv2.erode(detectedColors,kernel, iterations=4)

  detectedColors=cv2.cvtColor(detectedColors,cv2.COLOR_HSV2BGR)
  detectedColors=cv2.medianBlur(detectedColors,7)
  # cv2_imshow(detectedColors)

  return mask

"""### For backend - calc area and perim"""

def getAreaPerimeter(pdfpath, plan):
  dbx=db.dropbox_connect()
  md, res =dbx.files_download(path= pdfpath+plan)
  data = res.content
  doc=fitz.open("pdf", data)
  for page in doc:
      pix = page.get_pixmap(dpi=200)  # render page to an image
      pl=Image.frombytes('RGB', [pix.width,pix.height],pix.samples)
      img=np.array(pl)
      print(img.shape)
      img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
  mask=DetectColor(img,color=(73,0,130)) #detect colored rect drawn on the pdf

  contours, hierarchy = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
  for contour in contours:
      area = cv2.contourArea(contour)
      perimeter = cv2.arcLength(contour, True)
  return area,perimeter