#techno design

[animacion-marina]

LEARN ABOUT IMAGE PROCESSING

Image fusion is a process where two or more images are combined to create a single, more informative or visually enhanced image. This technique is used in various fields like photography, remote sensing, medical imaging, and computer vision.

GET PARTICLE IMAGE PROCESSING VIDEO TUTORIAL 🦄

The goal of image fusion is to enhance the overall quality of the final image by combining information from multiple sources while retaining the most relevant details.

Feature-Level Fusion: Instead of combining pixel values, this method focuses on merging the features extracted from images. It's often used in computer vision for object recognition and tracking.

Libraries and Frameworks for Machine Learning Image Processing:

OpenCV-Python is a library of Python bindings designed to solve computer vision problems.

Huge library of image processing algorithms

Open Source + Great Community

Works on both images and videos

Java API Extension

Works with GPUs

Cross-Platform

[borispehar]

[rumalas]

I was bored, so I decided to draw Technoblade and Carl. Tommy is also there.

Also SHAMELESS self promo, Commissions are open, also support me on Ko-fi, info is in pinned post!!

[skarrdiaofficial0]

happy late birthday to Technoblade!

🌹

[sethdomain]

idk

[xgermankittycatx--commsopen]

zombie apocalypse character designs are done, finally :] pretty happy with em too!! :DD edit: charlie is not a child!! He's an adult in my au(s), just small! I tried to make him look like the bubbly, happy-go-lucky character by making him smaller than the rest

[retrocybercore]

[vamperrvert]

saw techno’s tribute scene in the minercaft movie so i thought i should honor his name by turning him into an awesome fucking pig with an axe

[chopped-meat]

little guy (wip might color?)

[animacion-marina]

Explanation Of KNN Algorithm

Supervised Learning: KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions. 

Instance-Based Learning: KNN is also considered an instance-based or lazy learning algorithm because it stores the entire training dataset and performs computations only when making predictions. 

Distance Metric: KNN relies on a distance metric to measure the similarity or distance between data points. 

Finding Nearest Neighbors:

For a new, unlabeled data point, KNN identifies the "k" nearest neighbors in the training data based on the chosen distance metric.

Classification: In classification tasks, the new data point is assigned to the class that is most common among its "k" nearest neighbors.

Regression: In regression tasks, the predicted value for the new data point is the average of the values of its "k" nearest neighbors. 

Animating the 3D Sphere ⬇⬇⬇⬇⬇

[blurryseaglass]

it turns out this is called restless leg syndrome

prints available

[zivazivc]

Character drop! although you might have seen her face before in March for the ladies' portrait post.

My "judge a book by it's cover" queen who Hed and Liv have a situationship with for a short time. She looks hot and interesting but looking hot and interesting is her whole game.

[em-doods]

I’m a troll 🥰🥰🥰🥰🥰

[fxshbonezz]

More band au

[turontot]

WOOOO FINALLY FINISHED IT AFTER A WHOLE MONTH!!!

this is for the starfish fans all three of us!!!!!!!!!!!!!! this goes out to u!!!!!!!!!!

(PLEASE DM ME FIRST FOR PERMISSION IF YOU PLAN ON REPOSTING!)

[389]

Berlin Atonal festival Sergey Skip