SideProject-2022-Python-ZoomCropMaker

1. Preparation

Place the images you want to process in ./imgs.

2. Run

After placing the images, check the config.yaml.

###############
IMG:
  TYPE: 'png'  # 'jpg' , '' , ...

PATH:
  INPUT_DIR: './imgs'
  SAVE_DIR: './results'

CROP:
  NUMBER: 2       # total cropping patch number
  RANDOM: False    # True, False: crop the patches by random select
  POSITION: 'R'   # 'L'(eft), 'R'(ight), 'T'(op), 'B'(ottom)
  BOX_SIZES: 50   # the size of boundary box (pixel * pixel)
  BOX_THICK: 1    # thickness of boundary box (pixel)
  BOX_LOCAT: [[100, 100], [250, 250]]        # the pixel location of top-left corner [y, x]
  BOX_COLOR: [[0, 0, 255], [0, 255, 0]]  # the color of boundary box [B, G, R]

Then, simply run the code zoom_and_combine.py or typing the code in terminal.

python zoom_and_combine.py

3. Final examples

• Example result 1:

  config.yaml

    ###############
    IMG:
      TYPE: 'png'  # 'jpg' , '' , ...
  
    PATH:
      INPUT_DIR: './imgs'
      SAVE_DIR: './results'
  
    CROP:
      NUMBER: 2       # total cropping patch number
      RANDOM: False    # True, False: crop the patches by random select
      POSITION: 'R'   # 'L'(eft), 'R'(ight), 'T'(op), 'B'(ottom)
      BOX_SIZES: 50   # the size of boundary box (pixel * pixel)
      BOX_THICK: 1    # thickness of boundary box (pixel)
      BOX_LOCAT: [[100, 100], [250, 250]]        # the pixel location of top-left corner [y, x]
      BOX_COLOR: [[0, 0, 255], [0, 255, 0]]  # the color of boundary box [B, G, R]
  
  

  

• Example result 2:

  config.yaml

    ###############
    IMG:
      TYPE: 'png'  # 'jpg' , '' , ...
  
    PATH:
      INPUT_DIR: './imgs'
      SAVE_DIR: './results'
  
    CROP:
      NUMBER: 3       # total cropping patch number
      RANDOM: False    # True, False: crop the patches by random select
      POSITION: 'B'   # 'L'(eft), 'R'(ight), 'T'(op), 'B'(ottom)
      BOX_SIZES: 50   # the size of boundary box (pixel * pixel)
      BOX_THICK: 1    # thickness of boundary box (pixel)
      BOX_LOCAT: [[100, 100], [250, 250], [400, 89]]      # the pixel location of top-left corner [y, x]
      BOX_COLOR: [[0, 0, 255], [0, 255, 0], [255, 0, 0]]  # the color of boundary box [B, G, R]
  
  

  

• Example result 3:

  config.yaml

    ###############
    IMG:
      TYPE: 'png'  # 'jpg' , '' , ...
    
    PATH:
      INPUT_DIR: './imgs'
      SAVE_DIR: './results'
    
    CROP:
      NUMBER: 4       # total cropping patch number
      RANDOM: True    # True, False: crop the patches by random select
      POSITION: 'L'   # 'L'(eft), 'R'(ight), 'T'(op), 'B'(ottom)
      BOX_SIZES: 75   # the size of boundary box (pixel * pixel)
      BOX_THICK: 2    # thickness of boundary box (pixel)
      BOX_LOCAT: [[100, 100], [250, 250]]        # the pixel location of top-left corner [y, x]
      BOX_COLOR: [[0, 0, 255], [0, 255, 0]]  # the color of boundary box [B, G, R]
        
  

  

• Example result 4:

  config.yaml

    ###############
    IMG:
      TYPE: 'png'  # 'jpg' , '' , ...
    
    PATH:
      INPUT_DIR: './imgs'
      SAVE_DIR: './results'
    
    CROP:
      NUMBER: 5       # total cropping patch number
      RANDOM: True    # True, False: crop the patches by random select
      POSITION: 'T'   # 'L'(eft), 'R'(ight), 'T'(op), 'B'(ottom)
      BOX_SIZES: 40   # the size of boundary box (pixel * pixel)
      BOX_THICK: 3    # thickness of boundary box (pixel)
      BOX_LOCAT: [[100, 100], [250, 250]]        # the pixel location of top-left corner [y, x]
      BOX_COLOR: [[0, 0, 255], [0, 255, 0]]  # the color of boundary box [B, G, R]
  
  

  

4. Contact

If you have any question or suggestion, feel free to contact us:

• Chi-Mao Fan: qaz5517359@gmail.com
• Bo-Wei Chen: wiwi61666166@gmail.com