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Name: fvilmos

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fvilmos's Projects

auto_annotator

Automatic data labeling tool, with flexible search patterns, using the power of GroundingDINO (detect anything with language).

auto_pilot

Training, and testing a DNN model to drive a car in a virtual (urban) environment, using conditional imitation learning

cascade_nms

Non-Maximum-Suppression - with OpenCV cascade classifier. Uses Intersection Over Union to filter potential detections.

cascade_tools

Automate the retraining of cascade classifiers in OpenCV

centernet_tiny

Resource optimal implementation of Centernet in Tensorflow-keras, for multi object detection.

centroid_tracker

Simple centroid tracking algorithm using a cascade detector.

color_filterer

Video stream color filterer (opencv)

crypto_coin_data_recorder

Application to record in an SQLite database the selected crypto coin values. The coin list is configurable, as same as the record frequency.

crypto_coin_telegram_bot

Track, inspect crypto coin-related information through a Telegram bot. Set alerts for selected crypto coins if a specific value (price or change in 24h) is reached.

frame_annotator

Frame (image) annotator tool, using mobile-SAM. Creates augmented data sets for Machine Learning model training.

gaussian_naive_bayes_classifier

Simple implementation of a Gaussian Naive Classifier in python

gesture_detector

Hand gesture detector for multiple objects with SVM and HOG

ghostnet

TensorFlow keras implementation of GhostNet - More Features from Cheap Operations

kinect_point_cloud

Draws real time 3D point cloud with kinect. The point cloud can be exported as .ply file, processed later with a viewer (included too).

lane_detection

Lane detection with images captured from a front-facing camera in CARLA simulator.

laser_guided_object_tracker

A laser pointer tracks a ball, the PC does the image processing stuff, Arduino does the motors control

machine_learning

Machine learning related work. Holds Kaggle competitions and other stuff

multi_task_learning_shape_color_position

Implementation of a slim multi-task learner DNN with 3 tasks (heads). Detects shape type, color, the position of the midpoint of the shape.

object_classification_2d_to_3d

Images from an RGB-D camera are used to detect/classify objects in 2D, then detections are projected on the 3D point cloud.

opencv_multi_graph

Simple but useful utility implementation for a multi-graph time series visualization in python with OpenCV.

perspective_transform_tool

Perspective transformation (birds eye) tool, for easy experimenting and finding the right transformation values.

power_meter_mqtt

esp32 power meter for sensors with pulse output. Implements MQTT for status reporting. Accurate and easily can be integrated with Home Automation systems.

rapidly_exploring_random_tree

Simple implementation of a Rapidly-exploring Random Tree (RRT) algorithm for path planning.

resnet_keras

ResNet implementation in Keras, alows a fexible way to generate the ResNet 18/34/50/101/152 or other model variants.

road_segmentation

A small and fast CNN-based segmentation network is used to segment road / vehicles+pedestrians / other objects from the scene. The data collector uses CARLA simulator.

shape_color_position_detection

A multi-headed DNN to detect shape type (circle, rectangle, triangle) shape color and position of the center point.

shape_similarity_siamese_network

CNN based Siamese network for similarity detection. A toy database is used to demonstrate its functionality.

simpleastar

simple A* pathfinding algorithm implementation for 2D and 3D points

simplepca

Simple Principal Component Analysis implementation with python, numpy

smart_cam

Uses mobilenet-ssd dnn to classify objects from IP camera image with openvino framework (works with NCS stick on RPi4)

fvilmos Goto Github PK

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