Kracozebr's repositories
tank_classification
Here were chossen 4 types of tanks: T-72 (Russia), Chieftain (Great Britain) Leclerc (France) Type-99 (China) collected about 1000 images and using TL with InceptionV3 trained model to classify these objects.
tank_detection
Model was trained on Darknet with custom dataset (my own dataset with labeled tanks) in Google Colab. After that using best weights the model was tested on unseen images and videos on my laptop.
classification
Classificaation of heart diseases
classification_of_dog_breeds
Multiclassification of dog breeds by image using google colab
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Install-OpenCV-Jetson-Nano
OpenCV installation script with CUDA and cuDNN support
regression
Predicting the price of buldosers
start-here-guidelines
Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.
yolact
A simple, fully convolutional model for real-time instance segmentation.
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.