https://simplestory.github.io/en/tags/python/Recent content in Python on SimplestoryHugoen-usSimplestoryMon, 19 Feb 2018 00:00:00 +0000https://simplestory.github.io/en/posts/20180219_c851e812699d1207837d404c0af593ce/Mon, 19 Feb 2018 00:00:00 +0000https://simplestory.github.io/en/posts/20180219_c851e812699d1207837d404c0af593ce/<blockquote> <p>At the time of the 2018 Spring Festival, heaven knows what I went through, posting a blog article on the fourth day of the new year. Django was actually configured before the New Year; I had just learned some knowledge about developing web applications with python at that time, so I configured it along the way.</p> </blockquote> <p><strong>Environment used for the configuration</strong></p> <ul> <li>System: Ubuntu16.04 (LTS)</li> <li>python version: python3.6 (using Anaconda to create a virtual environment)</li> </ul> <h2 id="preparation">Preparation</h2> <h4 id="uninstalling-an-old-version-of-django">Uninstalling an old version of Django</h4> <p>If you are upgrading from an older version of Django, you need to deal with the old version a little.</p>https://simplestory.github.io/en/posts/20180204_68b9e972b5a534bc31d12d9be53b57ec/Sun, 04 Feb 2018 00:00:00 +0000https://simplestory.github.io/en/posts/20180204_68b9e972b5a534bc31d12d9be53b57ec/<blockquote> <p>Borrowing a line from the <a href="http://www.tensorfly.cn/">TensorFlow Chinese community</a>: TensorFlow, an open-source magic tool for artificial intelligence.</p> </blockquote> <p><strong>Environment used for the configuration</strong></p> <ul> <li>System: Ubuntu16.04 (LTS)</li> <li>python version: python3.6 (using Anaconda to create a virtual environment)</li> <li>Nvidia card: Geforce 920M (if there is no Nvidia card, only the CPU version can be installed)</li> </ul> <h1 id="installing-tensorflow">Installing Tensorflow</h1> <p>tensorflow has two versions, CPU and GPU; I created two python virtual environments and installed these two versions separately. Below I record this painful installation process</p>https://simplestory.github.io/en/posts/20171104_bb6e9cb8623b3bf044c62bbbca472d53/Sun, 05 Nov 2017 00:00:00 +0000https://simplestory.github.io/en/posts/20171104_bb6e9cb8623b3bf044c62bbbca472d53/<blockquote> <p>Opencv contains more than 2500 functions, and almost any mature algorithm you can think of can be implemented by calling Opencv&rsquo;s functions, which is super convenient. This post combines Python and Opencv to detect cars in surveillance video and check whether they commit a violation (crossing the double yellow line).</p> </blockquote> <p><strong>System environment: Ubuntu16.04LTS+OpenCV3.3.0+Python2.7.12</strong></p> <h2 id="background-extraction">Background extraction</h2> <p>For surveillance the position is relatively fixed, so the background will not change considerably over a long period of time. We can therefore consider using background subtraction to roughly extract the background.</p>https://simplestory.github.io/en/posts/20170820_7cb802827b60ef8c770d824ec28a65a0/Sun, 20 Aug 2017 00:00:00 +0000https://simplestory.github.io/en/posts/20170820_7cb802827b60ef8c770d824ec28a65a0/Life is short, I use Pythonhttps://simplestory.github.io/en/posts/20170810_3193456a2ce85ef1e01f5a219b37cebd/Thu, 10 Aug 2017 00:00:00 +0000https://simplestory.github.io/en/posts/20170810_3193456a2ce85ef1e01f5a219b37cebd/Life is short, I use Python