Make left rigth split image from image path.

left_right_image.py

def left_right_image(left_img_path,right_img_path,  canvas_size = 500):
  # load image
  iml = Image.open(left_img_path)
  imr = Image.open(right_img_path)
  
  # make back ground
  bg = Image.new("RGB",(canvas_size,canvas_size),(250,250,250))
  
  # target position
  left_target = int(bg.size[0] / 4 * 1)
  right_target = int(bg.size[0] / 4 * 3)

  # resize image   
  iml2 = resize(iml,bg.size[0])
  imr2 = resize(imr,bg.size[0])

  # image to array
  left_image = keras.preprocessing.image.img_to_array(iml2)
  right_image = keras.preprocessing.image.img_to_array(imr2)

  # Run detection
  left_results = model.detect([left_image], verbose=1)
  right_results = model.detect([right_image], verbose=1)

  # get object centor
  iml2_center = get_object_center(left_results[0]['rois'],left_image)
  imr2_center = get_object_center(right_results[0]['rois'],right_image)
#   print('left_img_object_centor',iml2_center)
#   print('right_img_object_centor',imr2_center)

  # make mask
  mask1 = Image.new("L",iml2.size,0)
  draw1 = ImageDraw.Draw(mask1)
  mask_width = bg.size[0] / 2
  draw1.rectangle((iml2_center - mask_width / 2,0,iml2.size[0],iml2.size[1]), fill=255)

  mask2 = Image.new("L",imr2.size,0)
  draw2 = ImageDraw.Draw(mask2)
  draw2.rectangle((imr2_center - mask_width / 2  ,0,imr2_center+ mask_width / 2,imr2.size[1]), fill=255)

  # composite image 
  bg.paste(iml2,(shift_to(iml2_center,left_target),0),mask1)
  bg.paste(imr2,(shift_to(imr2_center,right_target),0),mask2)

  return bg