jkjung-avt/dataset-tools

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Created over 6 years ago
Updated over 6 years ago

jkjung-avt/dataset-tools

jkjung-avt

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A collection of tools/scripts I use to process deep learning datasets

tensorrt_demos

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

jetson_nano

This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.

hand-detection-tutorial

A tutorial on how to train a hand detector with TensorFlow Object Detection API

yolov4_crowdhuman

A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset

Jupyter Notebook

keras-cats-dogs-tutorial

A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.

Jupyter Notebook

keras_imagenet

Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch

dqn-tx1-for-nintendo

My attempt to run DQN on Jetson TX1, which learns how to play Nintendo Famicom Mini games through reinforcement learning directly.

jkjung-avt.github.io

caffe_merge_batchnorm

My repository for testing how to merge/remove BatchNorm and Scale layers in trained caffe models

DeepLens_Notifier

An AWS DeepLens agent which sends a LINE notifier to me when it detects an event

dockerfiles