The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
H3: Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
This is a fig caption. This is how it will look like under a video frame as a description.
H4: How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
H5: Sample text is being used as a placeholder. Sample text helps you understand how real text may look. Sample text is being used as a placeholder for real text that is normally present.
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
H6: How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
Block Quote: Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
This is a heading 3.
Sample text is being used as a placeholder.
Sample text is being used as a placeholder.
Sample text is being used as a placeholder.
This is a heading 2.
Sample text is being used as a placeholder.
Sample text is being used as a placeholder.
Sample text is being used as a placeholder.
# clone openpilot into your home directory
cd ~
git clone --recurse-submodules https://github.com/commaai/openpilot.git
# setup ubuntu environment
openpilot/tools/ubuntu_setup.sh
# build openpilot
cd openpilot && scons -j$(nproc)
Due to the big success of kale model, we have decided to make more vegetable based models.
A major problem in self driving cars is determining where you want the car to go. If you know where you want the car to go, all that’s left to do is make the car go there. We considered many solutions to this problem, some involving fancy machine learning. But we eventually settled on something simple.
In openpilot 0.8.4, which is the first openpilot release including carrot model, you can take advantage of this new feature. You just need four things:
A driver to be paying attention (needed at all times!)
A carrot
A fishing pole
A passenger standing in your sunroof holding said fishing pole
Note: wind will cause ping-pong. Keep your arms steady.
We’ve trained carrot model to chase carrots. It loves carrots! In its small conscious mind, it dreams of finally catching a carrot. (note: don’t let it do this, that is off the map, carrot works best at a distance of 1-2 meters from comma two)
But we aren’t stopping at carrot model. Our research division is investigating stick model to punish the car when it does badly, and also carrotless model, which is like carrot model, but uses a virtual carrot instead of a real carrot, easing the need for the passenger, fishing pole, and carrot. We have very high hopes for carrotless model.
openpilot gets better with every release, and with a comma two running 0.8.4, you can finally use carrots to properly motivate the model. A feature nobody asked for perhaps, but a feature you will grow with and learn to love.
