lesotlhok
🔨💻Software Engineer| DevOps Engineer | Machine Learning Engineer | Algorithm Design, Deep Learning🎯
Botswana
Pinned Repositories
Aduino-Door-Entry-and-Exit-Counter
Senosr Counter for door Entry and exit of building
aduino-flame-detector
The mini Project consist of Proteus simulation and aduino code for flame detector
Aduino-Smart-Key-and-Proteus-Simulation
project consist of an proteus 8.10 Simulation and adunio code
aduino-smart-water-level
Proteus smart water detection with aduino code
Android-CandyCodedApplication
DJI-TELLO-EXPERIMENTS
DJI TELLO EXPERIMENTS
enkoBotho_Face_RecognitionDemo
live demo
Image-Trannsformation
Image transformation using python
kpltrading_panel
The trading panel is designed to allow traders to easily enter trade volume and a number of trades, as well as place, buy, and sell orders with a single click on the corresponding buttons.
NanoNet
NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
lesotlhok's Repositories
lesotlhok/Aduino-Door-Entry-and-Exit-Counter
Senosr Counter for door Entry and exit of building
lesotlhok/aduino-flame-detector
The mini Project consist of Proteus simulation and aduino code for flame detector
lesotlhok/Aduino-Smart-Key-and-Proteus-Simulation
project consist of an proteus 8.10 Simulation and adunio code
lesotlhok/aduino-smart-water-level
Proteus smart water detection with aduino code
lesotlhok/Android-CandyCodedApplication
lesotlhok/DJI-TELLO-EXPERIMENTS
DJI TELLO EXPERIMENTS
lesotlhok/enkoBotho_Face_RecognitionDemo
live demo
lesotlhok/Image-Trannsformation
Image transformation using python
lesotlhok/kpltrading_panel
The trading panel is designed to allow traders to easily enter trade volume and a number of trades, as well as place, buy, and sell orders with a single click on the corresponding buttons.
lesotlhok/NanoNet
NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
lesotlhok/TelloTV
My opensource code to my Tello AI Implimentation... no idea why I called it TelloTV
lesotlhok/Thea
Lightweight Deep Learning for Real-time Polyp Identification and Segmentation in Colonoscopy:
lesotlhok/TheaNanoNet
Lightweight Deep Learning for Real-time Polyp Identification and Segmentation in Colonoscopy: The Nano-Net Approach
lesotlhok/theaPDFreader
This script creates a GUI window using the tkinter library that allows the user to select a PDF file and adjust the reading speed using a Scale widget. The selected PDF file and the reading speed are passed to the read_pdf function when the Start button is clicked.