All the hardware arrived today.
I'll start working on the project.
I sincerely appreciate @roshan,, @sampoder and all the SOM team
Thank you so so much!I got my first delivery I'm so excited. Thank you so much @roshan@sampoder,, and the complete SOM team for making this possible!
Removing the polaroid filter from your phones would give you your own magic glasses. Privacy taken to another level!
What do you all think?
for one, would try this with the old unused cell phones at my place :
Phones emit display light, where the colors of each object are along with the white light. The white light covers the display light and humans are only able to see a white screen.
That's the reason smartphones have a thin film called the Polarizer which limits the wavelengths and the white light is diminished, and we are able to see different colors.
There are some major loopholes. To see icons at their true size and contrast, glasses are needed to be kept at a specific distance from both phone and eyes, wearing the glasses won't work. It would be like looking at the screen with your eyes at 1 cm from it. Though that can be corrected by adjusting the curvature of the lens. But still, the distance between the lens and the screen would make the icons too blurry and distorted after like 5-6 cm from the screen.Now is live hack9ja.vercel.app
Design stock price predict API
Host online workshop live with our great speaker Ramesh mahalingam
Deploying my models to azure cloud
Attend IoT Tribe Accelerating Global Deeptech Innovations in Asia
implementing neural network on computer vision
Doing my course Training Neural Network
Doing My Deep-learning Course on Googlecolab
Finally Done with the work
Building Hack Club Nigeria site
If you think you are too small to make a difference, try sleeping with a mosquito. @motivation
working on Direction and amount from error with neural network
Learning Deep Neural Network on Googlecolab
opencv yelov3 and RNN
If you are Machine learning or Deep-learning Practitioner let's form a team to make something awesome before the end of this summer feel free we are all here to learn 🙈
Done with model training for counting number of faces
Training my model to count number of facesDone with another one
Finally done with my course Structuring Machine Learning Projects
Done with binary classification algorithm
binary classification tasks that have two class labels.
• Email spam detection (spam or not).
• Churn prediction (churn or not).
• Conversion prediction (buy or not).
Source Code: github.com/Abubakarharuna10/Binary-Classification.git
after taking some days without sharing anything due to the system issues so far today i have done one project again people counter app with opencv though i develop same with openvino tools kit this one is new version with purely opencv
Here is the source code link github.com/Abubakarharuna10/people-counter-app-with-opencv.git
i also push it to the repo
<https://github.com/Abubakarharuna10/Deep-Learning-Face-Recognition-Summer-of-making-series.git>Another one Deep Learning Face Recognition
i will be updating new stuffs with their codes through this repo
here is the codes and video
So Feel Free if you have any questionsFinally done with web-app that provides object detection using YOLOv3 and also an API.
It's implemented using django framework and PyTorch (for YOLO model). The app uses cloudinary API for image hosting.
Here is video and Source Code
github.com/Abubakarharuna10/Hack-Club-Summer-Of-Making-Challenge.gitApplying digital makeup to a face with computer vision