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algorithms-and-data-structures

ann_for_apple_stock_price_prediction

First Neural Nets project developed to explore some basic skills in time series data prediction.

automatic-cyberbullying-detection

PolEval 2019 Task6-1. Harmful vs Non-Harmful.

books

convert_darknet_yolo_to_tensorflow

Darknet YOLO architecture implemented in Tensorflow and Tensorflow Lite.

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

docker-darknet

Docker container with YOLO Darknet and Jupyter Notebook. Step by step instructions.

docker_jupyter_env

Script opens Jupyter Notebook that is running inside Docker container

event-gate

Support module for image / video analysis. Helps to note the moment when object is crossing event gate.

google_image_downloader

Script downloads images from Google Images.

ip-cam-datareader

Source multiple videos from IP cameras and live stream in browser. Allows to apply filters as well as machine learning models right on with results shown.

kafka-to-database-connector

lab_runtime_research_yolov4_tflite

Runtime analysis of TFLite YOLOv4 model with COCO dataset weights.

measure_system_resources

Tool to measure system resources during any function runtime.

object_detection_api

oidv4_toolkit

pmml_project

tensorflow-yolov4-tflite

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

two-data-streams-to-join

There are two data streams coming from two kinds of sensors which purpose is to collect patient's data. Provided here solution is able to join matching data from both streams to eventually place them in persistent storage.

vision-based-detection-tracking-and-counting-system

Vision-based detection, tracking and counting system

vspu-notification-system

Notification system for Video Stream Processing Unit (VSPU).

website-project

yolov4-tensorflow-lite-model

Ready to run YOLOv4 implemented in TensorFlow Lite format.

yolov4_automated_custom_training

"The goal of this project is to create solution that automate all the preparation process thereby simplifying genraterion of new customized YOLOv4 weights [...]" in Darknet format.