Display binary data from CCS containing RGB-image in python matplotlib

How to get byte data from Code Composer Studio showed here (10.). Now we have a frame.bin, containg picture bytes.

1. Setup python 3, pip and matplotlib in windows:

1) download python3 from here, install

2) download get-pip.py from here to some local dir (in my case, ctrl-c in chrome and make a new text file get-pip.py in C:\Distrib\Python), install pip (type in cmd):

cd C:\Distrib\Python

python get-pip.py

3) to install matplotlib you need to open cmd and type:

python -m pip install -U matplotlib

2. Read frame.bin file with numpy.fromfile.

NumPy doc:

1) https://numpy.org/doc/stable/reference/generated/numpy.fromfile.html

2) https://numpy.org/doc/stable/reference/generated/numpy.reshape.html#numpy.reshape

Stackoverflow:

1) (!)https://stackoverflow.com/questions/39762019/how-to-read-binary-files-in-python-using-numpy

Do in cmd:

python

>>> import numpy as np

>>> img = np.fromfile("frame.bin",dtype='uint8')

>>> re_img = np.reshape(img[:388800],(540,720))

3. Draw RGB-bitstream from file in matplotlib:

1) How to Display a Matplotlib RGB Image https://www.pyimagesearch.com/2014/11/03/display-matplotlib-rgb-image/

2) https://stackoverflow.com/questions/22777660/display-an-rgb-matrix-image-in-python

Matplotlib doc:

1) imread - reads png-file:

- https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imread.html#examples-using-matplotlib-pyplot-imread

- https://www.geeksforgeeks.org/matplotlib-pyplot-imread-in-python/

2) imshow - show numpy array:

- https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html

Error showing grayscale image as colored:

1) https://stackoverflow.com/questions/21641822/why-bmp-image-displayed-as-wrong-color-with-plt-imshow-of-matplotlib-on-ipython

Do in cmd:

python

>>> import matplotlib.pyplot as plt

>>> plt.imshow(re_img, cmap='gray')

>>> plt.show()

Result script:

python

>>> import numpy as np

>>> img = np.fromfile("frame.bin",dtype='uint8')

>>> re_img = np.reshape(img[:388800],(540,720))

>>> import matplotlib.pyplot as plt

>>> plt.imshow(re_img, cmap='gray')

>>> plt.show()