What is Histogram Equalization? Histogram Equalization adjusts the dynamic range of an image, making it spread more evenly accross the intensity distribution in order to improve contrast. Cumula...
Remove Noise
How to Remove Noise? There are 4 ways to remove noise that can be applied in each situation. cv2.fastNlMeansDenoising(src, dst, h, templateWindowSize, SearchWindowSize) is used for image i...
Restore Damged Photos
How to Restore Damaged Photos? We can restore damaged photos by preparing two images one with a damaged image and the other with an image that the damaged areas(want to restore) are marked manually...
readNetFromTensorflow
What is readNetFromTensorflow? cv2.dnn.readNetFromTensorflow(bufferModel, bufferConfig) reads a network model stored in TensorFlow framework’s format where: bufferModel : buffer containin...
readNetFromCaffe
What is readNetFromCaffe? cv2.dnn.readNetFromCaffe(prototxt, caffeModel) reads a network model stored in Caffe framework’s format. where: prototxt : path to the .prototxt file with text d...
Colorize image
What is Colorize image We can color the black-white(grayscale) image by Caffe Model. The colorize model consists of many convolutional layers. Let’s see the structure of colorize model. St...
readNetFromTorch
What is readNetFromTorch? cv2.dnn.readNetFromTorch(model, isBinary, evaluate) reads a network model stored in Torch7 framework’s format where model : Path to the file, dumped from Torch b...
blobFromImage
What is blobFromImage? cv2.dnn.blobFromImage(image, scalefactor, size, mean, swapRB, crop, ddepth) -> retval creates 4-dimensional blob from image. Optionally resizes and crops image from center...
Barcode & QR Reading
How to read Barcode & QR? It can be done simply by pyzbar.pyzbar.decode(input image) -> [tuple]. The return tuple includes: data : The data contained in a barcode or QR code. We can...
EasyOCR
What is EasyOCR? It is used for OCR. EasyOCR is used as easyocr.Reader(lang_list, gpu, model_storagedirectory, download_enabled, user_network_directory, recog_network, detector, recognizer) where, ...