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Title: Home | Computer Vision Lab

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Description: A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is the application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods, and Hardware.

Open Graph Description: A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is the application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods, and Hardware.

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Opengraph URL: https://nikolasent.github.io/

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Homehttps://NikolasEnt.github.io/
Bloghttps://NikolasEnt.github.io/blog
Projectshttps://NikolasEnt.github.io/projects
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Projectshttps://NikolasEnt.github.io/projects
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SoccerNet Camera Calibration Challenge 2023 https://NikolasEnt.github.io/proj/comp4.html
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Kaggle: TGS Salt Identification Challenge https://NikolasEnt.github.io/proj/comp3.html
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Lyft Perception Challenge https://NikolasEnt.github.io/proj/comp2.html
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Cityscapes Semantic Segmentation https://NikolasEnt.github.io/proj/proj4
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Vehicle and Lane Lines Detection https://NikolasEnt.github.io/proj/proj2
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Image-Based Localization Challenge https://NikolasEnt.github.io/proj/proj3
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Postshttps://NikolasEnt.github.io/blog
Robust MLflow Deployment: From Localhost to Productionhttps://NikolasEnt.github.io/mlops/infrastructure/docker/2025/10/26/MLflow-guide.html
Benchmarking Nvidia RTX 5090https://NikolasEnt.github.io/hardware/deeplearning/benchmark/2025/02/17/RTX5090-Benchmark.html
Performance Analysis of Intel iGPUs in VLM and LLM applicationshttps://NikolasEnt.github.io/hardware/deeplearning/2025/02/09/iGPU-Benchmark-VLM.html
Multicamera systems: Calibration and beyondhttps://NikolasEnt.github.io/computervision/opencv/calibration/deeplearning/2025/01/27/Multicamera-Calibration.html
Camera Calibration: Practical OpenCV Refinement Techniqueshttps://NikolasEnt.github.io/computervision/opencv/calibration/2024/12/20/Practical-OpenCV-Refinement-Techniques.html
Camera Calibration: What to perfect before touching the codehttps://NikolasEnt.github.io/computervision/opencv/calibration/hardware/2024/12/12/Tips-for-better-camera-calibration.html
Camera calibration: Homography vs OpenCVhttps://NikolasEnt.github.io/computervision/opencv/calibration/2024/11/12/Extrinsic-camera-parameters-initialization.html
Deep Learning in Sports and Autonomous Vehicleshttps://NikolasEnt.github.io/deeplearning/computervision/self-driving/2023/10/27/Computer-Vision-In-Sports.html
Top-1 solution of SoccerNet Camera Calibration Challenge 2023https://NikolasEnt.github.io/deeplearning/computervision/calibration/competitions/2023/06/20/SoccerNet-Camera-Calibration-2023.html
Four generations of Nvidia GPUs comparedhttps://NikolasEnt.github.io/hardware/deeplearning/2022/11/30/Four-gens-of-Nvidia-GPUs-compared.html
Multi-task learning loss balancinghttps://NikolasEnt.github.io/deeplearning/computervision/2020/06/29/Multitask-learning-loss-balancing.html
Benchmarking RTX 2080 Ti vs Pascal GPUs vs Tesla V100 with DL taskshttps://NikolasEnt.github.io/hardware/deeplearning/2018/11/06/Benchmarking-RTX-2080-Ti-vs-Pascal-GPUs-with-DL-tasks.html
Semantic Segmentation of Seismic Reflection Imageshttps://NikolasEnt.github.io/deeplearning/competitions/segmentation/2018/10/24/Semantic-Segmentation-of-Seismic-Reflection-Images.html
About Kaggle TGS Salt Identification Challengehttps://NikolasEnt.github.io/deeplearning/competitions/segmentation/2018/10/23/About-Kaggle-TGS-Salt-Identification-Challenge.html
Discussion of the Lyft Perception Challengehttps://NikolasEnt.github.io/deeplearning/competitions/segmentation/2018/06/05/Discussion-of-the-Lyft-Perception-Challenge.html
Multiclass semantic segmentation with LinkNet34https://NikolasEnt.github.io/deeplearning/competitions/segmentation/2018/06/05/Multiclass-semantic-segmentation-with-LinkNet34.html
About Lyft Perception Challengehttps://NikolasEnt.github.io/deeplearning/competitions/segmentation/2018/05/31/About-Lyft-Perception-Challenge.html
An approach to predicted class balancinghttps://NikolasEnt.github.io/deeplearning/competitions/classification/2018/02/21/An-approach-to-predicted-class-balancing.html
Camera model identification with deep learninghttps://NikolasEnt.github.io/deeplearning/competitions/classification/2018/02/20/Camera-model-identification-with-deep-learning.html
How to run TensorFlow with CUDA 9 and cuDNN 7 in openSUSE on Ryzenhttps://NikolasEnt.github.io/hardware/deeplearning/2017/10/20/How-to-run-TensorFlow-with-CUDA-9-and-cuDNN-7-in-openSUSE-on-AMD-Ryzen.html
Neural network for multiclass image segmentationhttps://NikolasEnt.github.io/deeplearning/segmentation/2017/09/21/Neural-network-for-multiclass-image-segmentation.html
Image classification using SVMhttps://NikolasEnt.github.io/classification/2017/08/01/Image-classification-using-SVM.html
Adaptive Virtual Sensors for Lane detectionhttps://NikolasEnt.github.io/opencv/self-driving/2017/06/07/Adaptive-Virtual-Sensors.html
Bird's Eye View Transformationhttps://NikolasEnt.github.io/opencv/2017/05/07/Bird's-Eye-View-Transformation.html
Camera calibration with OpenCVhttps://NikolasEnt.github.io/opencv/calibration/2017/05/05/Camera-calibration-with-OpenCV.html
Approximate equidistant curve for polynomialshttps://NikolasEnt.github.io/mathematics/algorithms/2017/05/02/Approximate-equidistant-curve-for-polynomials.html
Homehttps://NikolasEnt.github.io/
HCZ Material themehttps://github.com/codeasashu/hcz-jekyll-blog

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