feature-vector

Here are 32 public repositories matching this topic...

towhee-io / towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

machine-learning computer-vision pipeline image-processing embeddings transformer video-processing feature-extraction convolutional-networks vit feature-vector image-retrieval unstructured-data embedding-vectors milvus vision-transformer towhee llm

Updated Oct 18, 2024
Python

zzw922cn / Automatic_Speech_Recognition

Star

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

audio deep-learning tensorflow paper end-to-end evaluation cnn lstm speech-recognition rnn automatic-speech-recognition feature-vector data-preprocessing phonemes timit-dataset layer-normalization rnn-encoder-decoder chinese-speech-recognition

Updated Mar 24, 2023
Python

Renumics / awesome-open-data-centric-ai

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Curated list of open source tooling for data-centric AI on unstructured data.

Updated Nov 15, 2023

dudley-fitzgerald / AutomatedWellLogCorrelation

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Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

python cnn pytorch networkx feature-vector sift geology interpretation oil-wells well-logs joblib oil-and-gas well-correlation automated-interpretation

Updated Aug 16, 2019
Python

dipayan90 / deep-learning-image-similarity

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Takes 2 images and says how similar they are based on Euclidean distance of feature vectors

python keras feature-vector image-similarity resnet50

Updated May 21, 2018
Python

MexsonFernandes / Img2VecCosSim-Django-Pytorch

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Extract a feature vector for any image and find the cosine similarity for comparison using Pytorch. I have used ResNet-18 to extract the feature vector of images. Finally a Django app is developed to input two images and to find the cosine similarity.

python django pytorch cosine-similarity feature-vector resnet-18 imgtovec img2veccossim-django-pytorch img2vec img2vec-cos img2vec-cos-sim

Updated Apr 6, 2024
JavaScript

sam0x17 / DSeg

Star

Invariant Superpixel Features for Object Detection

machine-learning deep-neural-networks deep-learning feature-extraction segmentation feature-vector superpixels

Updated Aug 28, 2018
C++

venusdev85 / Speech-Recognition

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End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

audio deep-learning tensorflow end-to-end cnn lstm speech-recognition rnn feature-vector data-processing phonemes timit-dataset layer-normalization rnn-encoder-decoder

Updated Mar 29, 2018
Python

adityajain10 / human-detection-using-hog-lbp-neural-networks

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The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

feature-vector nueral-networks lbp-features hog-lbp detect-humans layer-perceptron lbp-patterns gradient-magnitude gradient-angle

Updated May 11, 2021
Python

starkdg / pyConvnetPhash

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image perceptual hash experiment using convolutional neural net models

python tensorflow feature-extraction pca autoencoder convolutional-neural-networks feature-vector

Updated Sep 22, 2021
Jupyter Notebook

hangyao / Udacity_SDCND_Vehicle-Detection

Star

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.

histogram feature-vector hog-features vehicle-detection

Updated Mar 4, 2017
Jupyter Notebook

a-bailly / dbotsw

Star

Dense Bag-of-Temporal-SIFT-Words

time-series cpp extraction classification bag-of-words feature-vector classification-algorithm time-series-analysis norm-bow

Updated Jan 10, 2017
C++

snknitin / Optical-Character-recognition-from-images-using-CRF

Star

Exploring an approach that bridges computer vision and natural language processing by jointly modeling the labels of sequences of noisy character images that form complete words. This is a natural problem for chain-structured CRFs

crf feature-vector optical-character-recognition noisy-character-images character-image