opencv bank card number recognition project based on template matching

Recently, in mending opencv, I started the actual combat of this small project under the condition of less serious learning in the early stage, and identified the bank card number based on template matching. Overall idea: First of all, for this project, we need to consider how to make the computer successfully identify the card number of the ...

Added by oocuz on Fri, 26 Nov 2021 14:46:29 +0200

Python computer vision -- face recognition in images and videos

I will share some of the articles and papers I refer to - the links are posted in the original text. I upload the papers to the resources, and you can download them for free. If you can't find the papers in the resource area that day, wait. They may be under review, and you can download them after review. Let's study together and make progress ...

Added by TylerL on Fri, 26 Nov 2021 00:05:28 +0200

Follow Li Mu to learn AI for the purpose of small paper

Learn about data preprocessing d2l.DATA_HUB['fra-eng'] = (d2l.DATA_URL + 'fra-eng.zip', '94646ad1522d915e7b0f9296181140edcf86a4f5') #@save def read_data_nmt(): """Load English-French dataset.""" data_dir = d2l.download_extract('fra-eng') with open(os.path.join(data_dir, 'fra.txt'), 'r', enc ...

Added by tekparasite on Sun, 21 Nov 2021 06:13:13 +0200

Training st GCN network process records with self built kinetic skeleton behavior recognition data set

0. Preparation First of all, the operating environment of St GCN network is completely configured, and behavior recognition can be carried out normally Configuration environment reference: 1. Reproduce the old STGCN GPU Version (win10+openpose1.5.0) 2. Reproduce st GCN (win10 + openpose1.5.1 + vs2017 + cuda10 + cudnn7.6.4) For preparin ...

Added by styler1971 on Sun, 21 Nov 2021 03:15:55 +0200

Python white OpenCV learning lesson from scratch - 6. Gray transformation and histogram processing

OpenCV learning lesson from scratch - 6. Gray transformation and histogram processing This series is for Python Xiaobai and explains the actual combat of OpenCV project from scratch. The image processing method in spatial domain directly processes the pixels of the image. The image processing technology in spatial domain mainly includes gray ...

Added by fireMind on Fri, 19 Nov 2021 09:18:57 +0200

Python computer vision -- image special effect processing

I will share some of the articles and papers I refer to - the links are posted in the original text. I upload the papers to the resources, and you can download them for free. If you can't find the papers in the resource area that day, wait. They may be under review, and you can download them after review. Let's study together and make progress ...

Added by akreation on Thu, 18 Nov 2021 23:12:40 +0200

SSD pytorch model trains its own data set

1. Download SSD pytorch code SSD pytorch code link: https://github.com/amdegroot/ssd.pytorch git clone https://github.com/amdegroot/ssd.pytorch Run the code and download it locally (if the download is too slow, you can upload it to the code cloud, and then git clone the code cloud address) 2. Prepare data sets Students without datasets ca ...

Added by jagguy on Thu, 18 Nov 2021 05:27:27 +0200

OpenCV morphological operation (open, close, gradient, top hat, black hat)

Basic concepts of morphology Image morphology, that is, Mathematical morphology, is an image analysis discipline based on Glenn and topology. It is the basic theory of Mathematical morphology image processing; Common image morphological operations: corrosion, expansion, open operation, close operation, skeleton extraction, polar corrosion, ...

Added by Jay_Seagrave on Fri, 12 Nov 2021 00:18:44 +0200

PointNet + + up sampling (Feature Propagation)

PointNet + + needs to restore the down sampled points to the same number of points as the input when processing the segmentation task, so as to facilitate the prediction of each point. But in the paper, I only give a simple description and formula, which is not very easy to understand, so I record my understanding process here. 1. Purpose of F ...

Added by Donny Bahama on Mon, 08 Nov 2021 15:14:55 +0200

[medical image processing] 4 image denoising / smoothing

1 image noise    noise generation: some pixels in the middle of the image suddenly change, resulting in disharmony with the surrounding pixels   denoising: replace disharmonious points with harmonious points. Homogenize the change of gray value.    denoising method:    (1) convolution based methods: Gauss ...

Added by jeff21 on Sat, 06 Nov 2021 20:11:22 +0200