Github Nilavan Seemore A Voice And Gesture Based App For The Github is where nilavan2020 builds software. A voice and gesture based app for the visually impaired. basic exploratory data analysis on haberman's cancer survival dataset. simple tfidf vectorizer from scratch compared with sklearn's implementation. implementing k fold random search cross validation from scratch for a knn classifier.
Nilavan2020 Github Add an optional note maximum 250 characters. please don't include any personal information such as legal names or email addresses. markdown supported. this note will be visible to only you. contact github support about this user’s behavior. learn more about reporting abuse. • developed an algorithm that accurately estimated the base point of an object using pose keypoint data from trtpose and their 2d 3d correspondence, resulting in a 100% improvement in the accuracy of object location estimation. Overview repositories 3 projects 0 packages 01 nilavan2020 follow 🏠 working from home. Contribute to nilavan2020 smart safety and welfare platform mobile app development by creating an account on github.
Red Macaw Muthu Nilavan Github Overview repositories 3 projects 0 packages 01 nilavan2020 follow 🏠 working from home. Contribute to nilavan2020 smart safety and welfare platform mobile app development by creating an account on github. Contribute to nilavan2020 portfolio development by creating an account on github. September 2021 — december 2021 • collected and annotated videos of clients' farms to use as training and validation data for a real time apple detection and classification system. • trained and tested multiple deep learning models to identify the most effective approach for apple detection and successfully applied the resnet50 model for disease classification in apples. Contribute to nilavan2020 smart safety and welfare platform mobile app development by creating an account on github. Contribute to nilavan2020 mobile app development by creating an account on github.
Ezhil Nilavan Github Contribute to nilavan2020 portfolio development by creating an account on github. September 2021 — december 2021 • collected and annotated videos of clients' farms to use as training and validation data for a real time apple detection and classification system. • trained and tested multiple deep learning models to identify the most effective approach for apple detection and successfully applied the resnet50 model for disease classification in apples. Contribute to nilavan2020 smart safety and welfare platform mobile app development by creating an account on github. Contribute to nilavan2020 mobile app development by creating an account on github.
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