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SPARKLERS : We Are The Makers
India
Приєднався 2 тра 2018
We are a team of makers and we generally work in domains like Robotics, AI, Image Processing, Cyber Security etc. In this channel you will find very easy to follow tutorials on different technical stuffs and also reviews of our different projects. So please subscribe us and be the part of our Journey.
Home Automation using DIY Wifi Extension Board with ESPHome & Home Assistant #homeautomation
Ready to take control of your home appliances with a DIY solution? In this video, we’ll guide you through the process of building and automating your own WiFi extension board using ESPHome and Home Assistant. This step-by-step tutorial is perfect for makers and smart home enthusiasts looking to create custom automation solutions without breaking the bank.
Steps Covered in This Video:
a. Assembling your DIY WiFi extension board.
b. Flashing ESPHome firmware onto the board.
c. Integrating the DIY board with Home Assistant.
d. Setting up automation and control features through Home Assistant.
e. By the end of this guide, you’ll have a fully functional, customizable smart extension board that can be controlled remotely via your Home Assistant setup.
Useful Links:
Codes used in this video: github.com/Arijit1080/Wifi-Extension-Board-UA-cam-Supporting-Codes
Home Assistant Official Site: home-assistant.io
ESPHome Documentation: esphome.io
Follow Us for Future Updates:
Facebook: /sparklers2018
Instagram: /ari_the_maker
For Paid Projects: www.upwork.com/freelancers/~014e0104c14c6550bc
Don’t forget to like, comment, and subscribe for more DIY tech projects and smart home automation tutorials!
#DIYTech #HomeAutomation #WiFiExtensionBoard #ESPHome #HomeAssistant #SmartHome #HomeAutomationGuide #TechTutorial #Makers #SPARKLERS #WeAreTheMakers #IOT #InternetOfThings #SmartHomeDIY #AutomationProjects #TechEnthusiasts #HomeAssistantSetup #SmartTechnology #DIYHomeAutomation #HomeAssistantIntegration
Steps Covered in This Video:
a. Assembling your DIY WiFi extension board.
b. Flashing ESPHome firmware onto the board.
c. Integrating the DIY board with Home Assistant.
d. Setting up automation and control features through Home Assistant.
e. By the end of this guide, you’ll have a fully functional, customizable smart extension board that can be controlled remotely via your Home Assistant setup.
Useful Links:
Codes used in this video: github.com/Arijit1080/Wifi-Extension-Board-UA-cam-Supporting-Codes
Home Assistant Official Site: home-assistant.io
ESPHome Documentation: esphome.io
Follow Us for Future Updates:
Facebook: /sparklers2018
Instagram: /ari_the_maker
For Paid Projects: www.upwork.com/freelancers/~014e0104c14c6550bc
Don’t forget to like, comment, and subscribe for more DIY tech projects and smart home automation tutorials!
#DIYTech #HomeAutomation #WiFiExtensionBoard #ESPHome #HomeAssistant #SmartHome #HomeAutomationGuide #TechTutorial #Makers #SPARKLERS #WeAreTheMakers #IOT #InternetOfThings #SmartHomeDIY #AutomationProjects #TechEnthusiasts #HomeAssistantSetup #SmartTechnology #DIYHomeAutomation #HomeAssistantIntegration
Переглядів: 4
Відео
Install HACS in Home Assistant in 5 Minutes
Переглядів 1577 годин тому
Looking to supercharge your Home Assistant setup with custom integrations and themes? In this quick and easy guide, we'll show you how to install HACS (Home Assistant Community Store) in just 5 minutes! HACS opens up a world of possibilities by allowing you to add custom components, automations, and themes to your Home Assistant, enhancing its functionality and appearance. Installation Steps: I...
Setup ESPHome for Home Assistant with ESP8266 / ESP32 : Beginners Guide
Переглядів 37812 годин тому
Dive into the world of smart devices by setting up ESPHome with Home Assistant using ESP8266 or ESP32. In this beginner-friendly guide, we'll take you step-by-step through the entire setup process, making it easy for you to integrate these powerful microcontrollers into your home automation system. Setup Steps: In this video, we'll cover: Installing ESPHome on your computer. Flashing ESPHome fi...
Install Home Assistant on a Raspberry Pi : Detailed Guide for Beginners
Переглядів 12114 годин тому
Ready to transform your Raspberry Pi into a smart home hub? In this detailed guide, we'll walk you through the entire process of installing Home Assistant on your Raspberry Pi, perfect for beginners! Whether you're just starting with home automation or looking to expand your existing setup, this video has you covered. WiFi Configuration Steps: To ensure a smooth installation, follow these steps...
Control Raspberry Pi from Browser over the Internet using RPI-Connect | Official Raspberry Pi Tool
Переглядів 87414 днів тому
Unlock the full potential of your Raspberry Pi by controlling it remotely from any browser! In this video, we'll demonstrate how to use the official Raspberry Pi tool, RPI-Connect, to access and manage your Raspberry Pi over the internet. Perfect for anyone wanting to enhance their remote management capabilities. Follow Us for Future Updates: Facebook: /sparklers2018 Instagram: /ari_the_maker F...
Convert Your Raspberry Pi into a Router in 5 minutes | Hotspot in Raspberry Pi 5
Переглядів 1,2 тис.14 днів тому
Welcome to another exciting tutorial where we transform your Raspberry Pi into a powerful router! In this video, we'll guide you step-by-step through the process of setting up a hotspot on your Raspberry Pi. Perfect for tech enthusiasts and makers looking to expand their Raspberry Pi's capabilities. Commands Used in This Video: nmcli device sudo nmcli device wifi hotspot ssid [hotspot name] pas...
Smart IOT Enabled Waste Bin with Dashboard by Aeonix Research and Innovations
Переглядів 882 місяці тому
Introducing the smart E-Waste bin by Aeonix Research and Innovations LLP. This durable, metal-built bin measures 4 feet by 2 feet, with customizable sizing options. It features a convenient envelope window for depositing e-waste and a locked door for secure collection. Equipped with wheels, the bin can be effortlessly moved to different locations. With a capacity of approximately 450 liters, it...
Automatic Smart Cloth Bag / Sanitary Pad Vending Machine by Aeonix Research and Innovations
Переглядів 692 місяці тому
Introducing the Smart Automatic Vending Machine by Aeonix Research and Innovations LLP, an innovative, Internet of Things (IoT) enabled solution designed to meet modern vending needs with efficiency and intelligence. This versatile machine is perfect for dispensing environmentally friendly cloth bags, sanitary napkins, and similar items, making it a must-have for smart cities with a futuristic ...
Building DIY 120 Watt Most Advanced LED Flashlight You Have Ever Seen !!!
Переглядів 6348 місяців тому
Get ready for an extraordinary DIY project that takes flashlight innovation to unprecedented heights! In this video, we're not just building a powerful 120-watt LED flashlight but also incorporating game-changing features like a built-in power bank, individual battery cell voltage monitoring, and adjustable brightness control. Join us on this thrilling journey as we fuse cutting-edge technology...
Ultimate Face Swapping using Stable Diffusion A1111 | Google Colab| Swap Face in Any Pose & Image
Переглядів 4,9 тис.10 місяців тому
Unlock Infinite Creativity with Stable Diffusion A1111 & OpenPose! 💡🤖 Get ready for an extraordinary experience in our latest video! We're taking you on a captivating journey through the innovative realm of face swapping, powered by Stable Diffusion A1111 and OpenPose. With this dynamic combination, you'll discover the freedom to mimic any pose and create entirely new images, and then seamlessl...
Install Stable Diffusion (A1111) in Google Colab | Stable Diffusion Basics
Переглядів 6 тис.10 місяців тому
Install Stable Diffusion (A1111) in Google Colab | Stable Diffusion Basics
AI-Based Voice Cloning | Shape of You Cover by Ronaldo | Arijit Singh Voice Cloning | RVC
Переглядів 3,4 тис.10 місяців тому
AI-Based Voice Cloning | Shape of You Cover by Ronaldo | Arijit Singh Voice Cloning | RVC
Creating Stable Diffusion Illusion Art with Hugging Face and Google Colab | Explained
Переглядів 8 тис.10 місяців тому
Creating Stable Diffusion Illusion Art with Hugging Face and Google Colab | Explained
Face Swap in Video using AI | Enhanced DeepFake with Google Colab
Переглядів 32 тис.11 місяців тому
Face Swap in Video using AI | Enhanced DeepFake with Google Colab
JARVIS : A ChatGPT (OpenAI) Powered Raspberry Pi Based Voice Assistant
Переглядів 15 тис.11 місяців тому
JARVIS : A ChatGPT (OpenAI) Powered Raspberry Pi Based Voice Assistant
Custom Object (License Plate) Detection in Raspberry Pi using TensorFlow Lite vs YOLO V8
Переглядів 3,3 тис.11 місяців тому
Custom Object (License Plate) Detection in Raspberry Pi using TensorFlow Lite vs YOLO V8
Train TensorFlow Lite Model for Custom Object (License Plate) Detection with Custom Dataset
Переглядів 10 тис.11 місяців тому
Train TensorFlow Lite Model for Custom Object (License Plate) Detection with Custom Dataset
Licence Plate Recognition with YOLO V8 and Easy OCR using Custom Dataset
Переглядів 25 тис.11 місяців тому
Licence Plate Recognition with YOLO V8 and Easy OCR using Custom Dataset
Custom Object (Licence Plate) Detection in Raspberry Pi with YOLO V8 and Python
Переглядів 15 тис.11 місяців тому
Custom Object (Licence Plate) Detection in Raspberry Pi with YOLO V8 and Python
Raspberry Pi Kiosk Mode with FullPageOS for Seamless Webpage Display on Boot
Переглядів 20 тис.11 місяців тому
Raspberry Pi Kiosk Mode with FullPageOS for Seamless Webpage Display on Boot
Face Recognition Based Complete Attendance System with Database and Webpage using PC or Raspberry Pi
Переглядів 40 тис.11 місяців тому
Face Recognition Based Complete Attendance System with Database and Webpage using PC or Raspberry Pi
Train YOLO V8 on Custom Dataset for Object Detection | Licence Plate Detection Model Training
Переглядів 20 тис.11 місяців тому
Train YOLO V8 on Custom Dataset for Object Detection | Licence Plate Detection Model Training
AI Based Virtual Painter using Python with Raspberry Pi or Any Other PC
Переглядів 1,3 тис.11 місяців тому
AI Based Virtual Painter using Python with Raspberry Pi or Any Other PC
Multiple Raspberry Pi Cameras with Single Raspberry Pi using Multi-Camera Module
Переглядів 8 тис.Рік тому
Multiple Raspberry Pi Cameras with Single Raspberry Pi using Multi-Camera Module
Use Digital Microscope with Raspberry Pi using Python & OpenCV
Переглядів 2,6 тис.Рік тому
Use Digital Microscope with Raspberry Pi using Python & OpenCV
Building a DIY Sound Reactive LED using ESP32 & WLED
Переглядів 9 тис.Рік тому
Building a DIY Sound Reactive LED using ESP32 & WLED
Interactive Kinetic Wall Powered by Raspberry Pi | Demo
Переглядів 1,8 тис.Рік тому
Interactive Kinetic Wall Powered by Raspberry Pi | Demo
DIY GPS Tracker using Raspberry pi & Neo 6M GPS Module with Javascript, firebase & Google Map API
Переглядів 22 тис.Рік тому
DIY GPS Tracker using Raspberry pi & Neo 6M GPS Module with Javascript, firebase & Google Map API
Time Input / Time Schedule in Blynk 2.0 | Build WIFI Extension Board with Timer
Переглядів 6 тис.Рік тому
Time Input / Time Schedule in Blynk 2.0 | Build WIFI Extension Board with Timer
Home Automation with Blynk 2.0 and NodeMCU ESP8266 | Wifi Extension Board
Переглядів 788Рік тому
Home Automation with Blynk 2.0 and NodeMCU ESP8266 | Wifi Extension Board
Hi, This is exactly what I am looking for. Just run into two troubles - The WiFi is not updating with the method you suggested. I tried updating two WPA but it doesn't work. Is there a way to do it via admin commands ? Ctrl+Alt+F1 still gets us to the CLI to run but I am not sure how to check the current WiFi and connect to any other there. It is important to setup manually as the unit will be installed elsewhere. Second, not so major but is there a way to remove the scroll bar? I tried @Chromium-browser --hide-scrollbar, did not work. Tried with sudo and nano, no change. I tried changing it by F1 and Chrome settings:/flag disable overlay. It started refreshing the whole page like crazy. Even the Google Help page. Also, it removed this flag when I rebooted. So obviously not a good solution. Thanks in Advance
hey which version of python did you use? it's giving "illegal instruction" error
sir please give the product link
could you tell me how to charge 2x 18650 batteries with two modules and one usb?
Hi, i tried tu use this in mi raspberry pi 3 and got a error "ilegal instruction" how do i fix?
thank you! great explanation😊
They Look a Little Short
fuck this , the first is wrong bruh.....
How to do it on headless installation?
Virtual Reality: The OS’s support for high-performance computing is ideal for developing virtual reality applications, providing immersive and responsive user experiences.
Waiting for the next video
Sir please reply of this message !!!! How can i can the API key?
Hello. I cannot find the data file in this description. can you upload it please?
all information a in seperte video .............................. if we need to watch your video minimum 20 video we need to watch
When I run the " tkinter.py " python file it gives an error like : unsupported image type ,must be 8bit or RGB image" what I do for that to solve this problem...
After pip install -r requirement.txt SHOW "error: externally-managed-environment" My Python version is 3.11.2 How to fix requirement.txt error Thanks
Force install.. pip install -r requirement.txt --break-system-packages
This video was literally heaven sent! Everything was so clear and well explained. 4 years after you uploaded this video and it worked wonders for me. Thank you so much!
What’s the privacy and security impact of using this service? And is there a hidden subscription fee, there is always a subscription fee these days…
it's great ... thanks for sharing...
Hii bro how can i contact to you i need your help plz provide your mail
Hello
Can we add this project in Flutter Mobile Application
Hii msg me
Same doubt
can this work on a pc with specs i3 8gen 6gb ram integrated gpu? asking for a college project🙏🙏
Where can i get the stl?
Hi, I run your code as given and works fine without error till it reaches "Listening .." When i ask query , like "Hi jarvis can you give me the weather now in London" it types my query out but does not speak the response and quits to command line . All the setup commands to install worked fine. Am using Logitech webcam for mic and mini USB speakers from HP. Please advise. Thank you!
Cool
Hello sir, I'm Varshini. I tried following the steps you outlined, but my camera is only being detected at index 0.can you please help me can i get your contact details
thank you can you give me a code for detect fire in real time
Bro is it raspberry pi that's why it's lagging??
hi sir i am unable to find memory split option[to change 64 to 16] in raspi-config, i am using raspberry pi 4b model, plz help me out sir, i cant download any libraries for python dlib,opencv etc, plz plz hlep me sir.
I am unable to connect my drive : MessageError: Error: credential propagation was unsuccessful
man can i use this video for df? for personal only
Hi Thanks for this Video it as helped a lot. I have been struggling for a long time to get something like this to work. I have a project that i am doing and this is what i wanted. Thanks for sharing your video. Peter
Basically you are basically not good at explaining anything basically. So basically stick to the the basics and slow down and explain as basically as basically possible
Thanks you very much 🎉
Hi , i am beginner to train the model when i am running a # Create TFRecord files i am getting a error can any one help me to solve the error 2024-07-13 11:57:03.813823: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:03.813859: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2024-07-13 11:57:05.870526: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-07-13 11:57:05.870878: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:05.870997: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:05.871100: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:05.871209: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:05.918151: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:05.918475: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... Traceback (most recent call last): File "/content/create_tfrecord.py", line 120, in <module> tf.app.run() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py", line 36, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 308, in run _run_main(main, args) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 254, in _run_main sys.exit(main(argv)) File "/content/create_tfrecord.py", line 98, in main tf_example = create_tf_example(group, path) File "/content/create_tfrecord.py", line 46, in create_tf_example encoded_jpg = fid.read() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/lib/io/file_io.py", line 114, in read self._preread_check() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/lib/io/file_io.py", line 76, in _preread_check self._read_buf = _pywrap_file_io.BufferedInputStream( tensorflow.python.framework.errors_impl.NotFoundError: /content/License-License-Plate-1/test/00bc6c35-3eec-4fb5-bdd3-e5d8656b014f_jpg.rf.24cc901c2fbeefab14e6db28ec3e30f1.jpg; No such file or directory 2024-07-13 11:57:07.404737: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:07.404779: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2024-07-13 11:57:09.411359: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-07-13 11:57:09.411671: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:09.411809: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:09.411911: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:09.412006: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:09.454272: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:57:09.454576: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... Traceback (most recent call last): File "/content/create_tfrecord.py", line 120, in <module> tf.app.run() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py", line 36, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 308, in run _run_main(main, args) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 254, in _run_main sys.exit(main(argv)) File "/content/create_tfrecord.py", line 98, in main tf_example = create_tf_example(group, path) File "/content/create_tfrecord.py", line 70, in create_tf_example classes.append(int(labels.index(row['class'])+1)) ValueError: 'License Plate' is not in list
Hi, i am beginner to the training model project , when i was running a # Create TFRecord files cell it was showing s error, anyone can tell what is the problem. 2024-07-13 11:10:47.284004: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:47.284049: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2024-07-13 11:10:49.310978: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-07-13 11:10:49.311369: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:49.311467: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:49.311540: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:49.311613: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:49.362014: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:49.362344: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... Traceback (most recent call last): File "/content/create_tfrecord.py", line 120, in <module> tf.app.run() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py", line 36, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 308, in run _run_main(main, args) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 254, in _run_main sys.exit(main(argv)) File "/content/create_tfrecord.py", line 98, in main tf_example = create_tf_example(group, path) File "/content/create_tfrecord.py", line 46, in create_tf_example encoded_jpg = fid.read() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/lib/io/file_io.py", line 114, in read self._preread_check() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/lib/io/file_io.py", line 76, in _preread_check self._read_buf = _pywrap_file_io.BufferedInputStream( tensorflow.python.framework.errors_impl.NotFoundError: /content/License-License-Plate-1/test/00bc6c35-3eec-4fb5-bdd3-e5d8656b014f_jpg.rf.24cc901c2fbeefab14e6db28ec3e30f1.jpg; No such file or directory 2024-07-13 11:10:50.790904: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:50.790939: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2024-07-13 11:10:52.863399: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-07-13 11:10:52.863987: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:52.864208: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:52.864420: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:52.864524: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:52.911330: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia 2024-07-13 11:10:52.911673: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... Traceback (most recent call last): File "/content/create_tfrecord.py", line 120, in <module> tf.app.run() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py", line 36, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 308, in run _run_main(main, args) File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 254, in _run_main sys.exit(main(argv)) File "/content/create_tfrecord.py", line 98, in main tf_example = create_tf_example(group, path) File "/content/create_tfrecord.py", line 70, in create_tf_example classes.append(int(labels.index(row['class'])+1)) ValueError: 'License Plate' is not in list
Is this work with any kind of microphone or sound sensor?
imgae ratio 16:09 me nahi kar sakte kya
Your instgram id
Than you. This is the very best VDO. You save me many days of google around.
i am getting " RuntimeError: Unsupported image type, must be 8bit gray or RGB image." what should i do?
same here I'm getting the same error
i am also getting same error like "RuntimeError: Unsupported image type, must be 8bit gray or RGB image."
why on my raspi-config set up camera does not exist
can this make using battery so were planning to use it for our capstone to track a boat can you make one that use battery and something and for it's internet? i don't really have enough knowledge for this so please help :(
please ser helpp!!
I’m using yolov8 AI model for people detection, and raspberry 3b+ so i tried the code below where the raspberry pi code is just for capturing and the pc code is for people detection and displaying why when i put the model on the pc code it causes tremendous delay in displaying the frame?
can you tell me how to get images using picamera2, im struggling with it
when i try to run the attendance_taker.py file it shows "Segmentation fault". There is something wrong with the .dat file. How should i solve this issue?
Sounds more like Steven Hawkins
thank
Thank you so much. By the way, when I run the file, an error occurred. It said Numpy version different. In my Raspi I installed version 2.0 but in the code need version below 2.0. I'm not sure if I understand it correctly. Please help.