petermankowski510

KerasEarlyStopping

Keras EarlyStopping Simple Example to try

AutomaticCanny

Basic Canny for images

BatchNormalization

Keras Model

Feature_Matching_OGB

""" Real-Time Edge Detection using OpenCV in Python | Canny edge detection method + cv2.ORB_create() addition to display points of interest over video stream. Welcome to a feature matching tutorial with OpenCV and Python. Feature matching is going to be a slightly more impressive version of template matching, where a perfect, or very close to perfect, match is required. We start with the image that we're hoping to find, and then we can search for this image within another image produced by a camera stream. The beauty here is that the image does not need to be the same lighting, angle, rotation...etc. The features just need to match up. author: Peter Mankowski May 2020 """

Savitzky-Golay

Apply a Savitzky-Golay filter to an array

ALS_LILIGO_Tracking

barcode_reader

Barcode reader with save option

CAM_Img_Bl

Camera image controller and blurry filter

CamPicsCollector

Camera image collection UI

Coral_GPIO_Setup

Coral GPIO toggle framework

petermankowski510/multivariate-keras

multivariate teme series model pipeline

petermankowski510/Time-Series-1

Basic Stacked LSTM

petermankowski510/Multiclass-UNet

model and dataset prepreration

petermankowski510/Imballanced_datasets

petermankowski510/large_image_tiles

petermankowski510/LableStudio_annotation1

How to annotate your images, basic

petermankowski510/Train_Save_model

Beginner's course

petermankowski510/Depth_Model_est

Mushroom stem height

petermankowski510/MIR_Dark_Image

extract features out of dark image stream

petermankowski510/Easy-labeling-images-

petermankowski510/UNet_Self_built-

A fundation for experimentation with UNET layers

petermankowski510/LSTM_for-predictions_basic

petermankowski510/ModelTuner2

Keras based Hyper parameters tunning

petermankowski510/fir4_tep_filter

This is a 4 tap filter. That means the order of the filter is 4 and so it has 4 coefficients. The inputs are chosen to be 8 bits wide and outputs are chosen to be 16 bits wide. Both inputs and outputs can store negative numbers, in two's complement format.

petermankowski510/SentimentTextClassification

amazon, yelp reviews sentiment

petermankowski510/dequemanipulations

deque generation, features

petermankowski510/Savitzky-Golay

Apply a Savitzky-Golay filter to an array

petermankowski510/PearsonCorrelation

petermankowski510/JPGtricks

Usage of: cv2.IMWRITE_JPEG_QUALITY parameter value

petermankowski510/Orin_frame_capture

ORIN frame capture with a count down

petermankowski510/SOM

Implementation of Self Organizing Neural Network (SONN) from Scratch

petermankowski510/barcode_reader

Barcode reader with save option

petermankowski510/StackingEnseble

Stacking Ensemble for improved accuracy

petermankowski510/ImageSegmentation

PyTorch Image segmentation

petermankowski510/IntegratedStackedEnsemble-Approach

IntegratedStackedEnsemble Approach

petermankowski510/Lessons2021

petermankowski510/French_fry_scan

petermankowski510/Undersampling

Undersampling option: 1, 2 and 3

petermankowski510/Signal_Generator_Python_Lessons

Basic signal generator - Python lesson

petermankowski510/wget_progress_bar