Русские видео

Сейчас в тренде

Иностранные видео


Скачать с ютуб Object Detection & Identification using ESP32 CAM Module & OpenCV в хорошем качестве

Object Detection & Identification using ESP32 CAM Module & OpenCV 2 года назад


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса savevideohd.ru



Object Detection & Identification using ESP32 CAM Module & OpenCV

Up to 20%-30% off for PCB & PCBA order: Only 0$ for 1-4 layer PCB Prototypes: https://www.nextpcb.com/?code=Htoeletric Register and get $100 from NextPCB: https://www.nextpcb.com/register?code... 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻: This tutorial introduces the topic of ESP32 CAM Based Object Detection & Identification with OpenCV. OpenCV is an open-sourced image processing library that is very widely used not just in industry but also in the field of research and development. Here for object detection, we have used the cvlib Library. The library uses a pre-trained AI model on the COCO dataset to detect objects. The name of the pre-trained model is YOLOv3. In this tutorial, we will go through its features, pins description, and the method to program ESP32 Camera Module using FTDI Module. We will also set up the Arduino IDE for the ESP32 Camera Module. We will also upload the firmware and then work on the object detection & identification part. The script for object detection is written in the python programming language, thus we will also have to install Python and its required Libraries. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗟𝗶𝗻𝗸𝘀 & 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲: https://how2electronics.com/esp32-cam... .................................................................................................................................................................................................................................... Drop a like if you liked this video. Don't forget to subscribe to our channel for more Electronics projects and tutorials. Website: https://www.how2electronics.com Facebook:   / how2electronics   Instagram:   / how2electronics  

Comments