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Source channel @githubtrending · Post #14949 · Jul 12
#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7
Search: #mongoengine
@djangoproject · Post #346 · 06/21/2017, 07:24 AM
http://mongoengine.org To get to grips with MongoEngine, there is extensive documentation, API references and a tutorial. You can find help by joining the MongoEngine Users mailing list or by chatting with other users on the #mongoengine IRC channel.
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@djangoproject · Post #364 · 07/04/2017, 03:25 AM
http://mongoengine.readthedocs.io/en/latest/index.html #MongoEngine is an Object-Document Mapper, written in #Python for working with #MongoDB. To install it, simply run #Django
@djangoproject · Post #373 · 07/05/2017, 06:39 AM
https://realpython.com/blog/python/introduction-to-mongodb-and-python/#.WMfv6BURLc4.linkedin #SQL vs #NoSQL #MongoDB #PyMongo #MongoEngine Conclusion
@djangoproject · Post #421 · 08/21/2017, 10:39 AM
https://alysivji.github.io/flask-part1-generating-html-pages-with-mongoengine-jinja2.html Generating HTML Pages from #MongoDB with #MongoEngine and #Jinja2 (Flask Part 1) Summary Overview of MongoDB Discussion of Object-Relational Mapping (#ORM) Use MongoEngine to get items out of MongoDB Render #HTML pages using Jinja2 Interact with #REST API to send emails with #Requests