Pinned Repositories
The-Kriz's Repositories
The-Kriz/Wheel_combinations
The-Kriz/Robotic_Arm
The-Kriz/Traffic_Sign_Recognition_System
The-Kriz/SolidWorks
The-Kriz/AutoAuto_car
The-Kriz/Reinforcement_Learning
The-Kriz/AHK_Automation
The-Kriz/Animal_Intrusion_Detection
Animal Detection using YOLOv5
The-Kriz/clone
The-Kriz/Computer_Vision
The-Kriz/Embedded_systems
This contain codes for the systems having a fixed functionality that i have built
The-Kriz/Neuro_Genetic_disorder_prediction
Using ANN for prediction of neuro genetic disorder
The-Kriz/Niryo_Ned
The-Kriz/Micro_Mouse
The-Kriz/Object_dectection_using_YOLO
YOLO is an acronym that stands for You Only Look Once. We are employing Version 5, which was launched by Ultralytics in June 2020 and is now the most advanced object identification algorithm available. It is a novel convolutional neural network (CNN) that detects objects in real-time with great accuracy. This approach uses a single neural network to process the entire picture, then separates it into parts and predicts bounding boxes and probabilities for each component. These bounding boxes are weighted by the expected probability. The method “just looks once” at the image in the sense that it makes predictions after only one forward propagation run through the neural network. It then delivers detected items after non-max suppression (which ensures that the object detection algorithm only identifies each object once)
The-Kriz/Object_Follower_CAM
The-Kriz/project_eva
The-Kriz/rog_ros_bot
The-Kriz/Starting_With_NLP
The-Kriz/Tetrix_Prizm_Controller
The-Kriz/The-Kriz
Config files for my GitHub profile.
The-Kriz/Web_Dev
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