bodhisattwa-chakraborty Goto Github PK

advanced_lane_detection

Advance driving lane lines detection algorithm. Part of Udacity's self-driving cars nanodegree.

alexnet-tensorflow

Implementation of the AlexNet CNN in TensorFlow

alphapose

Multi-Person Pose Estimation System

artificial-neural-networks-hand-symbol-recognition

The project was to develop a hand gesture recognition system in order to recognize the sign language used for communication by mute people.

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

carnd-vehicle-detection

Vehicle detection using YOLO in Keras runs at 21FPS

cnn-face-rec

Face recognition ussing CNN

concave_hull_generation

This program generates a concave hull (an envelope surrounding the point data set) around any two-dimensional data set. The algorithm uses K-nearest neighbour approach to compute the concave hull. This approach is based on the paper "CONCAVE HULL: A K-NEAREST NEIGHBOURS APPROACH FOR THE COMPUTATION OF THE REGION OCCUPIED BY A SET OF POINTS," GRAPP 2007 - International Conference on Computer Graphics Theory and Applications, pp. 61-68, 2007, by Adriano Moreira and Maribel Yasmina Santos. (http://repositorium.sdum.uminho.pt/bitstream/1822/6429/1/ConcaveHull_ACM_MYS.pdf). The convex hull is being computed using Matlab inbuilt 'convhulln' function. A comparative analysis based on the area covered by the convex and concave hull and the run time for each method is also presented. The 'degree of concaveness' is calculated based on the difference between the convex hull and concave hull.

cornernet

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deep-semi-nmf

Theano-based implementation of Deep Semi-NMF.

dl4te

a deep learning model for textual entailment

dmfa07

Automatically exported from code.google.com/p/dmfa07

dynamic-3d-action-recognition-on-rgb-d-videos

Dynamic 3D Hand Gesture Recognition with Learning Spatio-Temporal Aggregation from Different Representation

dynamic-image-nets

Dynamic Image Networks for Action Recognition

epro-pnp

[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

evolving_boxes

Python implementation of Evolving Boxes Evolving Boxes for Fast Vehicle Detection

face_recognition_by_deep_learning

faceverification

faster_rcnn

Faster R-CNN

fastmaskrcnn

Mask RCNN in TensorFlow

featdepth

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

highway-cnn

Simple convolutional highway networks using TensorFlow.