Patryk Laskowski's repositories

Convert_Darknet_YOLO_to_TensorFlow

Darknet YOLO architecture implemented in Tensorflow and Tensorflow Lite.

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ANN_for_Apple_stock_price_prediction

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

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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.

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Yolov4-TensorFlow-Lite-Model

Ready to run YOLOv4 implemented in TensorFlow Lite format.

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Measure_System_Resources

Tool to measure system resources during any function runtime.

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

Vision-based detection, tracking and counting system

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vspu-notification-system

Notification system for Video Stream Processing Unit (VSPU).

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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.

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Automatic-Cyberbullying-Detection

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

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darknet

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

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Docker-Darknet

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

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Docker_Jupyter_env

Script opens Jupyter Notebook that is running inside Docker container

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event-gate

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

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Google_Image_Downloader

Script downloads images from Google Images.

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Lab_Runtime_Research_YOLOv4_TFLite

Runtime analysis of TFLite YOLOv4 model with COCO dataset weights.

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tensorflow-yolov4-tflite

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

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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.

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