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Ritesh's Projects

tensorflow-yolov4-tflite icon tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tensorrt-alpha icon tensorrt-alpha

TensorRT-Alpha implements CUDA accelerated deployment of more than 30 models, including but not limited to yolov8, yolov7, yolov6, yolov5, yolov4, yolov3, yolox, yolor based on subsequent Vision-Tranformer related deep learning models

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tfdroid icon tfdroid

A simple demo for using Tensorflow models in Android apps

tswift-detection icon tswift-detection

Using the TensorFlow Object Detection API and Cloud ML Engine to build a Taylor Swift detector

typographer icon typographer

Borrowed from http://patriciogonzalezvivo.com/butterfly.html , We are trying to recode his project for our Affiliate program activities, we will organize and create augmented reality learning labs called Augmented Reality Centers (ARC) in order to raise funds and awareness for our mission. ARC implements Socratic questioning practices in a multimodal-learning environment. ARC’s use technology to make learning fun and accessible, thereby engaging the student first before being taught. ARC affords a rich contextual learning environment for skill acquisition. The learning environment makes use of Interactive Product Content Management(IPCM), which includes interactive 3D manipulative digital replicas. ARC’s also make use ofSimulation Based Learning (SBL), which includes simulation and virtual reality based training and interactive experiential learning. The content, which is used in this learning environment, is one that makes learning inherently interesting since it is based upon an amalgamation of theAffiliate schools’ needs assessments. Students engaged in multimodal learning, on average, outperform students who learn using traditional uni-modal learning.

v4l_opencv_wrapper icon v4l_opencv_wrapper

V4L OpenCV wrapper for use with the onboard camera of Freescale's development boards.

v4l_opencv_wrapper_yocto icon v4l_opencv_wrapper_yocto

V4L OpenCV wrapper for use with the onboard camera of Freescale's development boards on yocto - autotools based.

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