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auto-annotate

Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.

auto_annotate

Automate approach to label images for object detection using TensorFlow

chinese-word-segmentation-using-bi-lstm-neural-network

computervisionlab

Exercises and examples of my Computer Vision subject with Deep Learning

csm

The C(canonical) Scan Matcher

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gazetracking

👀 Eye Tracking library easily implementable to your projects

gender-recognition-car-recognition-and-neural-style-trasnfer

image-classification-venice-boat

luigifaticoso

malware-classifier-using-bernoulli-text-classifier

Classifying spam emails using bernoulli text classifier

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

objectdatasettools

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

quaternion-speech-recognition

END-TO-END Speech recognition using quaternial convolutional neural network QCNN

rppg

smartpc-study

This is a study I have made for a university project. The github includes a paper of a summary of the paper and a basic simulation code written in python with random data and the formula from the paper.

soft-actor-critic-with-lunar-lander-continuos-v2

Reinforcement learning on Lunar Lander Continuous v2 using Soft actor-critic

thank-you-github

An open letter of gratitude to GitHub

video_object_detection

Python script for doing TensorFlow object detection inference on a video.