self-driving-car | The Udacity open source self-driving car project | Learning library

by udacity Jupyter Notebook Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | self-driving-car Summary

self-driving-car is a Jupyter Notebook library typically used in Tutorial, Learning, OpenCV applications. self-driving-car has no bugs, it has no vulnerabilities and it has medium support. However self-driving-car has a Non-SPDX License. You can download it from GitHub.

The Udacity open source self-driving car project

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self-driving-car has a medium active ecosystem.

It has 6056 star(s) with 2075 fork(s). There are 691 watchers for this library.

It had no major release in the last 6 months.

self-driving-car has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of self-driving-car is current.

Quality

self-driving-car has no bugs reported.

Security

self-driving-car has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

self-driving-car has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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self-driving-car releases are not available. You will need to build from source code and install.

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self-driving-car Key Features

No Key Features are available at this moment for self-driving-car.

self-driving-car Examples and Code Snippets

Create LRCN model .

python

Lines of Code : 57

License : Permissive (MIT License)

Copy

def lrcn(self):
        """Build a CNN into RNN.
        Starting version from:
            https://github.com/udacity/self-driving-car/blob/master/
                steering-models/community-models/chauffeur/models.py

        Heavily influenced by V

Community Discussions

Trending Discussions on self-driving-car

Distance to object python

tensorflow: Not creating XLA devices, tf_xla_enable_xla_devices not set

QUESTION

Distance to object python

Asked 2021-Dec-19 at 00:18

I have an image of a car and a corresponding bounding box. For example:

...

ANSWER

Answered 2021-Dec-19 at 00:18

In comments you requested code that works similarly to the link you provided. I want to make it clear your source example isn't measuring distance. It is only measuring the width of the bounding boxes on the vehicles. The logic is based on the concept that larger widths are closer to the camera, and a smaller widths are further from the camera. This approach has many flaws due to optical illusions and lack of size and scale context. At any rate:

Source https://stackoverflow.com/questions/70402043

QUESTION

tensorflow: Not creating XLA devices, tf_xla_enable_xla_devices not set

Asked 2021-May-04 at 15:14

I run drive.py program from Code Project | A Complete guide to self driving car

but when i start program i have error:

Not creating XLA devices, tf_xla_enable_xla_devices not set

Does anyone know how I can fix this problem? What should I download or reinstall?

I use:

Python 3.8.7

CUDA 11.0

tensorflow 2.4.1 On http://0.0.0.0:4567/ of course I see nothing