Cài đặt python và opencv window 8
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thanks for the instructions, saved me a few hours of mucking around, very clear and very appreciated here are a couple of minor changes to your script to test FFMPEG, import cv2
cap=cv2.VideoCapture("input_video.mp4")
print cap.isOpened() # True = read video successfully. False - fail to read video.
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter("output_video.avi",fourcc, 20.0, (640,360))
print out.isOpened() # True = write out video successfully. False - fail to write out video.
cap.release()
out.release()
note that your original script fails at a couple of points (1) in lines 2 and 3 you need to define a handle/(more properly an instance) to cv2.VideoCapture() and test whether that handle points to an open object, (in your code you’re testing whether the library cv2 is an open object) (2) as one of the other chaps pointed out FOUR_CC has been moved, and the above syntax appears to work thanks again We recommend using Anaconda with Python 3 for the homework assignments. The instruction to install anaconda and Python 3 can be found at http://docs.anaconda.com/anaconda/install/linux/. Below is a short tutorial to install the experiment system on the PSU Linux lab machines and on a regular Windows machine. Note, we highly recommend that the homework assignments are completed on a Linux machine and will grade your assignments on Linux only. Linux: 1. Install anaconda: wget https://repo.continuum.io/archive/Anaconda3-2018.12-Linux-x86_64.sh 2. Install necessary libraries: 1. Download and install anaconda environment Python 3.7:
2. Open Anaconda Prompt
 3. In Anaconda Prompt, type commands to install necessary libraries: pip install
opencv-python==3.4.2.17
4. Run your python program
We’re going to see in this tutorial how to install Python 3 and Opencv 4 on Windows. Here below you see a list of the steps necessary for a complete installation. If you have any problem following the steps, I suggest you to watch the video tutorial above that will guide you trough it step by step. Install Python 3:We pick Python 3.6.8 which at the moment I’m writing this article (march 2019) is the best supported version by the other external libraries needed for computer vision.
Install Opencv 4:
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