ProventusNova DeveloperWiki - User contributions [en]

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== Summary ==
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Main Page

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__NOTOC__
= Welcome to the ProventusNova Developer Wiki =
'''Expert knowledge for Embedded Systems, AI, and Software Development.'''

Looking to build high-performance embedded systems, optimize AI models, or streamline multimedia processing? This wiki is a '''public knowledge hub''' designed to help engineers, developers, and businesses solve real-world technical challenges.

Here, you’ll find '''step-by-step tutorials, best practices, and deep technical insights''' to help you bring your projects to life.

== 🚀 What You’ll Find Here ==

<div style="display: flex; flex-wrap: wrap; gap: 1em;">

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''🛠️ Hands-on Tutorials'''
Practical guides to get you started quickly.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''📋 Industry Best Practices'''
Proven workflows and methodologies.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''⚡ Optimized Solutions'''
Performance tuning for embedded, AI, and multimedia applications.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''🌍 Open-Source Resources'''
Code samples, frameworks, and tools to accelerate development.
</div>

</div>

Whether you're an individual developer, a startup, or an enterprise, you’ll find resources here to '''enhance your expertise and improve your products'''.

== ⚙️ Technical Resources ==

Learn about core development domains, including embedded systems, AI, multimedia pipelines, and cloud-native solutions. Each section provides curated insights, guides, and best practices to help you build with assurance.

<div style="display: flex; flex-wrap: wrap; gap: 1em;">


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[Embedded Systems Development]] – BSPs, firmware, and real-time processing.
</div>
<div style="padding: 1em;">
<div style="font-weight: bold; margin-top: 1em;">Embedded</div>
<ul>
<li>[[Embedded Platforms]]</li>
</ul>
<div style="font-weight: bold; margin-top: 1em;">Yocto</div>
<ul>
<li>[[How to create a custom yocto meta layer|Create custom Yocto meta layer]]</li>
<li>[[How to create a custom yocto recipe|Create custom Yocto recipe]]</li>
<li>[[Create custom Yocto meta layer for MediaTek G510 board|Create custom Yocto meta layer for MediaTek G510 board]]</li>
</ul>
<div style="font-weight: bold; margin-top: 1em;">Nvidia</div>
<ul>
<li>[[Nvidia Jetson Nano developer setup]]</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[AI & Computer Vision]] – Edge AI, model training, and deployment.
</div>
<div style="padding: 1em;">
<ul>
<li>Coming Soon!</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[GStreamer Development]] – High-performance video and audio streaming.
</div>
<div style="padding: 1em;">
<ul>
<li>[[GStreamer Fundamentals]]</li>
<li>[[GStreamer Daemon]]</li>
<li>[[GStreamer Interpipes]]</li>
<li>[[GStreamer Application Development]]</li>
<li>[[GStreamer Best Practices]]</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[Web & Cloud Solutions]] – Scalable, production-ready applications.
</div>
<div style="padding: 1em;">
<ul>
<li>Coming Soon!</li>
</ul>
</div>
</div>

</div>

== 👀 Are you a PM looking to expand your knowledge in the software development industry? ==

This tutorial is for you!
Explore essential concepts that will help you navigate technical discussions with engineers and clients more confidently.

📄'''[[Project Manager Tutorials]]'''

== 🛠️ Developer Tools ==

This section provides essential guidelines and practices to ensure consistency, clarity, and efficiency across all development efforts. These tools and standards help teams collaborate better and maintain high-quality codebases.

🔀 '''[[Git workflow]]''': A structured guide to how our team uses Git—from branching strategies to pull request protocols—ensuring smooth collaboration and clean version history.

🧾 '''[[Naming Conventions]]''': Standardized naming rules for code elements such as variables, functions, classes, and files, helping improve readability and maintainability across projects.

== 🐞🛠️ Debugging methods and error/bug fixes ==
This section provides the best debugging methods as well as common error/bug fixes.

'''Yocto'''<br>
Yocto Project related debugging methods and error/bug fixes <br>
*[[Error:_BitBake_%2B_AppArmor_User_Namespace_Restriction_Fix|Error: BitBake+AppArmor User Namespace Restriction Fix]]: Fix for user namespace restriction using BitBake+AppArmor

'''Nvidia'''<br>
Nvidia related debugging methods and error/bug fixes <br>
*[[Debug_NVIDIA_Jetson_nvv4l2av1enc_VPR_Violation_(EMEM_decode_error)| Debug NVIDIA Jetson nvv4l2av1enc VPR Violation (EMEM decode error)]]: How to debug Nvidia Jetson with EMEM decode error


{{Footer}}

How to Capture Images From Nvidia Jetson Using Python

2025-07-14T02:44:09Z

Admin:

==About==
This document shows how to capture images from the Nvidia Jetson Nano using Python

==Pre-requisites==
Before proceeding, the Nvidia Jetson Nano must be set up. To set up the Nvidia Jetson Nano, see [[Nvidia Jetson Nano developer setup]]

The following pre-requisites must be present:
===Install the required Python and GStreamer packages in the host machine===
Install the necessary Python and GStreamer packages on the Jetson Nano
<syntaxhighlight lang="bash">
sudo apt install python3-opencv python3-pip
pip3 install numpy
sudo apt install python3-gi gir1.2-gstreamer-1.0 gir1.2-gst-plugins-base-1.0
</syntaxhighlight>

===Camera Module===
A compatible camera with CSI (Camera Serial Interface) is required to connect to the port on the Jetson Nano.

==Testing the Camera Module==
To test if the camera module is working or not, execute the following command:
<syntaxhighlight lang="bash">
gst-launch-1.0 nvarguscamerasrc ! nvvidconv ! ximagesink
</syntaxhighlight>
A window should pop up and show the output of the camera

==Run Python Script==
The script initializes a GStreamer pipeline to capture frames from the Jetson camera module, listens for new frames, and prints their resolution.
See the script below.

<syntaxhighlight lang="bash">
import gi
import sys
import signal

gi.require_version('Gst', '1.0')
gi.require_version('GstApp', '1.0')
gi.require_version('GObject', '2.0')
from gi.repository import Gst, GObject, GLib

Gst.init(None)

# Graceful exit using GMainLoop
loop = GLib.MainLoop()

def signal_handler(sig, frame):
print("Ctrl+C detected. Exiting...")
loop.quit()

signal.signal(signal.SIGINT, signal_handler)

def on_new_sample(sink, data):
sample = sink.emit("pull-sample")
if sample:
buf = sample.get_buffer()
caps = sample.get_caps()
width = caps.get_structure(0).get_value('width')
height = caps.get_structure(0).get_value('height')
print(f"Received frame of resolution: {width}x{height}")

result, mapinfo = buf.map(Gst.MapFlags.READ)
if result:
frame_data = mapinfo.data
# Optional: convert to numpy array
# import numpy as np
# np_frame = np.frombuffer(frame_data, dtype=np.uint8).reshape((height, width, 3))
buf.unmap(mapinfo)
return Gst.FlowReturn.OK
return Gst.FlowReturn.ERROR

def main():
pipeline_str = (
"nvarguscamerasrc ! "
"nvvidconv ! "
"appsink name=appsink emit-signals=true max-buffers=1 drop=true"
)

pipeline = Gst.parse_launch(pipeline_str)
appsink = pipeline.get_by_name("appsink")
appsink.connect("new-sample", on_new_sample, None)

ret = pipeline.set_state(Gst.State.PLAYING)
if ret == Gst.StateChangeReturn.FAILURE:
print("Unable to set the pipeline to the playing state.", file=sys.stderr)
sys.exit(1)

print("Running... Press Ctrl+C to stop.")
try:
loop.run()
finally:
pipeline.set_state(Gst.State.NULL)
print("Pipeline stopped.")

if __name__ == '__main__':
main()
</syntaxhighlight>

When the script runs, it continuously captures frames from the camera and prints their resolution to the terminal, such as "Received frame of resolution: 1280x720".<br>
This confirms that the camera is active and the GStreamer pipeline is functioning correctly. The output repeats for every frame received.<br>

{{Footer}}

2025-04-11T14:10:43Z

Admin:

Template:Icon

2025-04-11T14:07:37Z

Admin: Created page with "<span style="font-size: 1.2em;"> {{#switch: {{{1}}} | book = 📘 | gear = ⚙️ | info = ℹ️ | check = ✅ | default = 🔹 }} </span>"

<span style="font-size: 1.2em;">
{{#switch: {{{1}}}
| book = 📘
| gear = ⚙️
| info = ℹ️
| check = ✅
| default = 🔹
}}
</span>

Main Page

2025-04-11T14:04:00Z

Admin: /* 👀 Are you a PM looking to expand your knowledge in the software development industry? */

__NOTOC__
= Welcome to the ProventusNova Developer Wiki =
'''Expert knowledge for Embedded Systems, AI, and Software Development.'''

Looking to build high-performance embedded systems, optimize AI models, or streamline multimedia processing? This wiki is a '''public knowledge hub''' designed to help engineers, developers, and businesses solve real-world technical challenges.

Here, you’ll find '''step-by-step tutorials, best practices, and deep technical insights''' to help you bring your projects to life.

== 🚀 What You’ll Find Here ==

<div style="display: flex; flex-wrap: wrap; gap: 1em;">

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''🛠️ Hands-on Tutorials'''
Practical guides to get you started quickly.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''📋 Industry Best Practices'''
Proven workflows and methodologies.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''⚡ Optimized Solutions'''
Performance tuning for embedded, AI, and multimedia applications.
</div>

<div style="flex: 1 1 250px; border: 1px solid #ccc; border-radius: 8px; padding: 1em; background-color: #f9f9f9;">
'''🌍 Open-Source Resources'''
Code samples, frameworks, and tools to accelerate development.
</div>

</div>

Whether you're an individual developer, a startup, or an enterprise, you’ll find resources here to '''enhance your expertise and improve your products'''.

== ⚙️ Technical Resources ==

Learn about core development domains, including embedded systems, AI, multimedia pipelines, and cloud-native solutions. Each section provides curated insights, guides, and best practices to help you build with assurance.

<div style="display: flex; flex-wrap: wrap; gap: 1em;">


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[Embedded Systems Development]] – BSPs, firmware, and real-time processing.
</div>
<div style="padding: 1em;">
<ul>
<li>[[Embedded Platforms]]</li>
<li>[[How to create a custom yocto meta layer|Create custom Yocto meta layer]]</li>
<li>[[How to create a custom yocto recipe|Create custom Yocto recipe]]</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[AI & Computer Vision]] – Edge AI, model training, and deployment.
</div>
<div style="padding: 1em;">
<ul>
<li>Coming Soon!</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[GStreamer Development]] – High-performance video and audio streaming.
</div>
<div style="padding: 1em;">
<ul>
<li>[[GStreamer Fundamentals]]</li>
<li>[[GStreamer Daemon]]</li>
<li>[[GStreamer Interpipes]]</li>
<li>[[GStreamer Application Development]]</li>
<li>[[GStreamer Best Practices]]</li>
</ul>
</div>
</div>


<div style="flex: 1 1 calc(50% - 1em); min-width: 300px; border: 1px solid #ccc; border-radius: 8px; overflow: hidden; background-color: #eef6ff;">
<div style="background-color: #d9eaff; padding: 0.75em; font-weight: bold; font-size: 1.1em;">
[[Web & Cloud Solutions]] – Scalable, production-ready applications.
</div>
<div style="padding: 1em;">
<ul>
<li>Coming Soon!</li>
</ul>
</div>
</div>

</div>

== 👀 Are you a PM looking to expand your knowledge in the software development industry? ==

This tutorial is for you!
Explore essential concepts that will help you navigate technical discussions with engineers and clients more confidently.

📄'''[[Project Manager Tutorials]]'''

{{Footer}}

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2025-04-11T01:53:05Z

Admin:

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MediaWiki:Common.css

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Main Page

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MediaWiki:Common.css

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/* CSS placed here will be applied to all skins */
/* Hide "Page tools" */
#p-cactions { display: none !important; }

#catlinks{
display: none !important;
}

/* Hide "View source" for non-logged-in users */
.skin-vector #ca-viewsource {
display: none !important;
}

#ca-talk {
display: none !important;
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display: none;
}

/* Expand the content area to full width */
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margin-left: 0 !important;
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/* Hide sidebar container in Vector 2022 */
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display: none;
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MediaWiki:Common.css

2025-04-07T14:19:02Z

Admin: