TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15033 · Aug 6

#shell#buildroot_external_tree#firmware#ingenic#ip_camera#ipc#ipcamera Thingino is free, open-source firmware designed specifically for IP cameras using Ingenic SoC chips. It customizes the software to fit each supported camera model, making the camera easier to use and more efficient. You can build the firmware yourself using the provided instructions and tools, and there is a helpful web interface to control camera features like pan, tilt, night mode, and streaming. This gives you more control and flexibility over your camera without relying on proprietary software. It supports many camera models, and the community offers resources like a wiki, chat groups, and development guides to help you get started and customize your device. This benefits you by providing a customizable, transparent, and community-supported alternative to closed camera firmware. https://github.com/themactep/thingino-firmware

Results

2 similar posts found

Search: #array

当前筛选 #array清除筛选
djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

djangoproject

@djangoproject · Post #129 · 08/31/2016, 03:36 PM

https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.