Showing results for an image of a jet
GitHub Repo
https://github.com/1582466901/In-Situ-Optical-Monitoring-and-Defect-Detection-of-Binder-Jetting-Printer-with-Deep-Ranking
1582466901/In-Situ-Optical-Monitoring-and-Defect-Detection-of-Binder-Jetting-Printer-with-Deep-Ranking
An image collecting system is developed to capture optical images of printed pattern in a X1 innovent+ printer. Then, segementation methods are applied to the images and the segmented images are compared with a reference image by deep ranking model.
GitHub Repo
https://github.com/akash09766/imgur_search_MVVM_android_jetpack
akash09766/imgur_search_MVVM_android_jetpack
Demonstration of image search using imgur rest api and add comment using Room (local DB)
GitHub Repo
https://github.com/OussamaHajji/Automated-Classification-of-Alzheimer-s-using-MRI-images-and-deep-neural-networks.-On-Nvidia-Jetson-
OussamaHajji/Automated-Classification-of-Alzheimer-s-using-MRI-images-and-deep-neural-networks.-On-Nvidia-Jetson-
Automated Classification of Alzheimer's using MRI images and deep neural networks. Implemented at NVIDIA Jetson TX2.
GitHub Repo
https://github.com/Eugeneutsa/data-reduction-and-spectral-analysis-of-turbulent-fields
Eugeneutsa/data-reduction-and-spectral-analysis-of-turbulent-fields
Final Project for Big Data Class - Uses large amounts of jet images and reduces the information using a spectral filter for analysis.
GitHub Repo
https://github.com/NickAtBishops/NVIDIA-Jetson-Nano-Good-and-Bad-Fruit
NickAtBishops/NVIDIA-Jetson-Nano-Good-and-Bad-Fruit
My project is centered around developing a sophisticated software that is capable of distinguishing good and bad fruits, drawing from a robust dataset of 15,000 images. These images, depicting apples, bananas, guavas, limes, oranges, and pomegranates, represent a spectrum of conditions, with varying levels of quality.
GitHub Repo
https://github.com/elye/demo_android_jetpack_compose_image_contentscale
elye/demo_android_jetpack_compose_image_contentscale
Demo Jetpack Compose Image ContentScale for different type of images and alignment.
GitHub Repo
https://github.com/shubham3135/AndroidJetpackComposeFoundation
shubham3135/AndroidJetpackComposeFoundation
This is tutorial of using foundation like canvas, lazy column, image, shape in jetpack compose
GitHub Repo
https://github.com/teavuihuang/jetson-emulator
teavuihuang/jetson-emulator
The Jetson Emulator emulates the NVIDIA Jetson AI-Computer's Inference and Utilities API for image classification, object detection and image segmentation (i.e. imageNet, detectNet and segNet). The intended users are makers, learners, developers and students who are curious about AI computers and AI edge-computing but are not ready or able to invest in an actual device such as the NVIDIA Jetson Nano Developer Kit (https://developer.nvidia.com/embedded/jetson-nano-developer-kit). E.g. this allows every student in a computer class to have their own personal AI computer to explore and experiment with. This Jetson Emulator presents a pre-configured, ready-to-run kit with 2 virtual HDMI displays and 4 virtual live-cameras. This enables usage familiarisation with the Jetson API and experimentation with AI computer vision inference. It is a great way to quickly and easily get 'hands-on' with Jetson and experience the power of AI.
GitHub Repo
https://github.com/nithin-aikkattumadathil/Custom-live-image-training-in-Jetson-Nano-using-Label-Image-tool-And-UART-transfer
nithin-aikkattumadathil/Custom-live-image-training-in-Jetson-Nano-using-Label-Image-tool-And-UART-transfer
During the training process of custom images in jetson nano developer kit, if you face issues like insufficient memory and low processing speed , you can use Label image tool. Here we are doing the main training in an external Linux environment and only the trained model with less amount of losses is copied to the board along with labels.txt file.
GitHub Repo
https://github.com/AlexisMotet/Attacking_JetBot