Nicola Landolfi Nico769

## JupyterDocker.md

      
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                Nico769
                / JupyterDocker.md
            
            
              Created
              June 30, 2020 09:12
            
              
                Running Jupyter notebooks with Docker-compose in PyCharm 2020.1 Professional Edition.
              
          
Create a Python project with default Venv in the same folder where Dockerfile and docker-compose.yml are located
Go to Settings ->  Build, Execution, Deployment -> Docker and create a new Docker server. Use unix socket. "Successfully connected" should appear.
Configure Docker Compose as a remote Pycharm interpreter as per documentation.
Configure the Jupyter Server as per documentation, DO NOT use Managed Server option.
In the Project panel, right click on docker-compose.yml and run it.
Manually connect to Docker in the Services panel.
Run the Jupyter Notebook cells.


## bg_subtr.py
import numpy as np
import cv2 as cv
from sklearn.decomposition import PCA

# Instead of using opencv, we can use numpy
# def global_grayscale_threshold(input_image, threshold):
#     return np.where(input_image > threshold, 255, 0).astype(np.uint8)


def simple_frame_differencing(curr_frame, bg_frame, threshold):
	import numpy as np
	import cv2 as cv
	from sklearn.decomposition import PCA

	# Instead of using opencv, we can use numpy
	# def global_grayscale_threshold(input_image, threshold):
	# return np.where(input_image > threshold, 255, 0).astype(np.uint8)


	def simple_frame_differencing(curr_frame, bg_frame, threshold):