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Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO

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Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO

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nata-vito/README.md

Hi, I am Natanael Vitorino

I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.

My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.

  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects

Support Me

Pinned Loading

  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic

    In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    21 5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic

    The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook 8

  3. see_how_pkgsee_how_pkgPublic

    Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python 2

  4. llm-video-descriptionllm-video-descriptionPublic

    Tool to help video description generation for multi purposes.

    Jupyter Notebook 2

  5. TrackerPlotTrackerPlotPublic

    Lib to data processing

    Jupyter Notebook 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
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btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
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codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
nata-vito (Natanael Vitorino) · GitHub
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 · 63
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Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
Loading
  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
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} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nata-vito (Natanael Vitorino) · GitHub
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 · 63
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Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
Loading
  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
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terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
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Array.from(node.childNodes).forEach(highlight);
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highlight(document.body);
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mutations.forEach(function(m) {
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nata-vito (Natanael Vitorino) · GitHub
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35
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 · 63
following

Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Highlights

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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
Loading
  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
nata-vito (Natanael Vitorino) · GitHub
Skip to content
View nata-vito's full-sized avatar
35
followers
 · 63
following

Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Highlights

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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
Loading
  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nata-vito (Natanael Vitorino) · GitHub
Skip to content
View nata-vito's full-sized avatar
35
followers
 · 63
following

Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Highlights

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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
Loading
  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
nata-vito (Natanael Vitorino) · GitHub
Skip to content
View nata-vito's full-sized avatar
35
followers
 · 63
following

Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Achievements
Achievement: Pull Sharkx3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO
Highlights

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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

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  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

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Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

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  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

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2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

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1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
nata-vito (Natanael Vitorino) · GitHub
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nata-vito/README.md
Hi, I am Natanael Vitorino
I am responsible for the technical leadership of Artificial Intelligence projects, leading multidisciplinary teams in the development of solutions based on machine learning, computer vision, generative AI, and data analysis. I participated in an academic exchange program supported by BAYLAT in Germany, where I am developing a digital twin for LiDAR sensors at the CARISSMA research center. I am also studying Computer Engineering at Facens University Center and have a technical degree in Mechatronics from Paula Souza Center.
My career combines experience in commercial Machine Learning projects with academic research, always focusing on continuous improvement and knowledge expansion. I am proficient in TensorFlow, ROS, OpenCV, Python, C, C++, YOLO, Docker, DevOps, CAN protocol, AWS, and Generative AI with an emphasis on LLMs.
  • 🌍 I'm based in Sorocaba, SP, BR
  • ✉️ You can contact me at vitorino.natanael@outlook.com
  • 🧠 I'm learning LLMs
  • 🤝 I'm open to collaborating on ADAS & AI Projects
Support Me

Pinned
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  1. CAN-transceivers-on-Jetson-AGX-XavierCAN-transceivers-on-Jetson-AGX-XavierPublic
    
In this repository you will find a simplified method of installing CAN transceivers on the Jetson AGX Xavier board. After much research and study, I created these steps in the way I would have like…

    
21

5

  2. skin-cancer-segmentationskin-cancer-segmentationPublic
    
The aim of this project is to train segmentation models with png mask. This work uses U-Net model specialized in biomedical image segmentation in order to segment skin cancers.

    Jupyter Notebook
8

  3. see_how_pkgsee_how_pkgPublic
    
Project developed with the aim of integrating technologies such as computer vision into ROS, with a view to ease of adaptation and accessibility.

    Python
2

  4. llm-video-descriptionllm-video-descriptionPublic
    
Tool to help video description generation for multi purposes.

    Jupyter Notebook
2

  5. TrackerPlotTrackerPlotPublic
    
Lib to data processing

    Jupyter Notebook
1