depthai | DepthAI Python API utilities , examples , and tutorials | Machine Learning library

by luxonis Python Version: v1.10.1-sdk License: MIT

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

kandi X-RAY | depthai Summary

depthai is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. depthai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install depthai' or download it from GitHub, PyPI.

This repo contains demo application, which can load different networks, create pipelines, record video, etc.

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Quality

Security

License

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Support

depthai has a low active ecosystem.

It has 752 star(s) with 185 fork(s). There are 39 watchers for this library.

It had no major release in the last 12 months.

There are 160 open issues and 285 have been closed. On average issues are closed in 59 days. There are 16 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of depthai is v1.10.1-sdk

Quality

depthai has 0 bugs and 0 code smells.

Security

depthai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

depthai code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

depthai is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

depthai releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

depthai saves you 1746 person hours of effort in developing the same functionality from scratch.

It has 5631 lines of code, 374 functions and 44 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed depthai and discovered the below as its top functions. This is intended to give you an instant insight into depthai implemented functionality, and help decide if they suit your requirements.

Run the Qt widget
Create a Depth instance
Return a list of available Zoo models
Get a mono resolution
Create a left camera
Creates a monoCamera
Returns the path to the blob of the given sho
Creates the NNN layer
Get color camera resolution
Parse command line arguments
Returns a function that checks the given value
Return a function that parses a comma separated option
Parse arguments
Create the left camera
Gets the path to the blob
Create a monoCamera
Prepare frames from output queues
Get a DepthAI device
Run the depthai demo
Make a system report
Calculate the error between two frames
Calculate Rt from two frames
Draws keypoints on each frame
Decode depth data
Prepare frames from the output queues
Draw the image
Create a StereoDepth instance
Bereo calibration
Clone repository
Create a recording from all available devices
This method creates the Nnth layer

Get all kandi verified functions for this library.

depthai Key Features

No Key Features are available at this moment for depthai.

depthai Examples and Code Snippets

No Code Snippets are available at this moment for depthai.

Community Discussions

Trending Discussions on depthai

Tensorflow Object Detection API - ImportError when I try to run model_builder_test.py

QUESTION

Tensorflow Object Detection API - ImportError when I try to run model_builder_test.py

Asked 2021-Sep-01 at 06:16

I am creating a custom object detection model using Tensor Object detection API. I installed everything as mentioned in this notebook and following the same steps as mentioned in this notebook but when I try to run model_builder_test.py file

...

ANSWER

Answered 2021-Sep-01 at 06:11

The error is because you might be having a version of numpy that is incompatible with the version used by the tensorflow object detection API. To solve this issue you can upgrade numpy to the latest version with the below command.

Source https://stackoverflow.com/questions/68942154

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install depthai

There are two installation steps that need to be performed to make sure the demo works:.
One-time installation that will add all necessary packages to your OS. $ sudo curl -fL https://docs.luxonis.com/install_dependencies.sh | bash Please follow this installation page to see instructions for other platforms
Python dependencies installation that makes sure your Python interpreter has all required packages installed. This script is safe to be run multiple times and should be ran after every demo update $ python3 install_requirements.py

Support

We have added support for a number of different AI models that work (decoding and visualization) out-of-the-box with the demo. You can specify which model to run with -cnn argument, as shown above. Currently supported models:.

Find more information at: