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Capture screen using MSS and OpenCV for e.g. TensorFlow Object Detection API

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In this video we will capture the desktop using MSS (Multiple Screen Shots) and OpenCV. With a little adaption you will also be able to store the recorded video on your hard drive.
Note: This tutorial utilizes Python 3.6.8 on Anaconda in a Windows 10 environment.
Other used libraries:
NumPy 1.16.3
OpenCV/cv2 3.4.2
win32api (pip install pypiwin32)
mss (pip install mss)
This approach will also include dynamic resizing of the screen capture window:
a - move capture left
d - move capture right
s - move capture down
w - move capture up
f - increase height
g - increase width
h - decrease height
j - decrease width
Python Code:
In the next videos I will go into details on how to utilize this for e.g. TensorFlow Object Detection API.
For this video, I used this traffic time lapse video:
Useful links:
Note: This tutorial utilizes Python 3.6.8 on Anaconda in a Windows 10 environment.
Other used libraries:
NumPy 1.16.3
OpenCV/cv2 3.4.2
win32api (pip install pypiwin32)
mss (pip install mss)
This approach will also include dynamic resizing of the screen capture window:
a - move capture left
d - move capture right
s - move capture down
w - move capture up
f - increase height
g - increase width
h - decrease height
j - decrease width
Python Code:
In the next videos I will go into details on how to utilize this for e.g. TensorFlow Object Detection API.
For this video, I used this traffic time lapse video:
Useful links:
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