Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
-
Updated
Oct 18, 2024 - Python
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Curated list of open source tooling for data-centric AI on unstructured data.
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Takes 2 images and says how similar they are based on Euclidean distance of feature vectors
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.
Invariant Superpixel Features for Object Detection
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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.
image perceptual hash experiment using convolutional neural net models
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.
Dense Bag-of-Temporal-SIFT-Words
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
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Generates Caption from sample Images Using Deep Neural Networks
Self Driving Car ND Project 5 - Vehicle Detection
Computer Vision: Vehicle Detection
Discovers new ontological categories (WordNet synsets) for words based on their lexicosyntactic patterns in Wikipedia
A capstone project to predict the adoption-speed of listed pets
Vehicle detection in dash cam video
Add a description, image, and links to the feature-vector topic page so that developers can more easily learn about it.
To associate your repository with the feature-vector topic, visit your repo's landing page and select "manage topics."