Pinned Repositories
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
basic-machine-learning-using-scikit-learn
Bengali-Handwritten-Character-Recognition-Using-Convolutional-Neural-Networks
Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.
Christofides-Algorithm
In this project, Christofides Algorithm can be found in several different implementations to achieve approximate solution of Travelling Salesman Problem.
CNN
CRNN-Keras
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
DMNet
Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)
Extract-Frame-from-Videos
A simple piece of code written in Python that will help you to extract the frame from a video or a set of video at once.
FIDTM
Focal Inverse Distance Transform Maps for Crowd Localization and Counting in Dense Crowd
farshokat's Repositories
farshokat/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
farshokat/basic-machine-learning-using-scikit-learn
farshokat/Bengali-Handwritten-Character-Recognition-Using-Convolutional-Neural-Networks
Implementation of convolutional neural networks (CNNs) of increasing complexity for classification of handwritten Bengali characters. The deepest network achieves 94.2% accuracy on test data, compared to 85.96% reported on the latest paper using CNNs for Bengali OCR.
farshokat/Christofides-Algorithm
In this project, Christofides Algorithm can be found in several different implementations to achieve approximate solution of Travelling Salesman Problem.
farshokat/CNN
farshokat/CRNN-Keras
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
farshokat/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
farshokat/DMNet
Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)
farshokat/Extract-Frame-from-Videos
A simple piece of code written in Python that will help you to extract the frame from a video or a set of video at once.
farshokat/FIDTM
Focal Inverse Distance Transform Maps for Crowd Localization and Counting in Dense Crowd
farshokat/License-Plate-Detection
A License Plate Recognition algorithm written in python using opencv
farshokat/Machine_learning_projects
This repository contains my Machine Learning projects
farshokat/my-project
farshokat/People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
farshokat/plate-
farshokat/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
farshokat/tensorrt_inference
farshokat/test_interVP
farshokat/Training-Tensorflow
farshokat/Travelling-Salesman-problem.
Basic to elegant solutions for the travelling salesman problem. Includes Christofides 1.5 approximation algorithm. Also creates graphs and displays graphically for testing the algorithm.
farshokat/TSP-heuristics
Implementing various heuristics for Traveling Salesman Problem (TSP).
farshokat/Wide-Area-Crowd-Counting_CVPR2019
This is he code maintaining platform for multi-view crowd counting.