Computer Vision Lab
Nikolay Falaleev
Blog
A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods and Hardware.
Here you can find all posts materials.
How to increase inference speed on a semantic segmentation task and further ideas.
A CNN approach used for multiclass semantic segmentation during the Lyft Perception Challenge.
A partnered Lyft and Udacity semantic segmentation challenge with synthetic images.
An approach how to increase your position on a leaderpoard in a classification datascience competition by balancing predictions.
Ideas and approach to the Kaggle IEEE's Signal Processing Society - Camera Model Identification challenge.
A set of instruction to run a modern version of the deep learning framework TensorFlow on AMD Ryzen.
VGG16-based fully convolutional networks for semantic segmentation of images on Cityscapes
Application of a linear SVM for image classification with HOG, binned color and color histogram features.
Computer vision approach for road marking detection with adaptive thresholds and positions of virtual sensors.
Convert a normal image to a Bird's Eye view projection with OpenCV.