Search Results for "computer based training"

AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition.

Funkrr Easy Downloader is a cross-platform desktop tool that automatically downloads all media files from Funkr albums. It handles the complex process of navigating through Funkr's click-through pages and CDN redirects, delivering your files directly to your computer with a clean, intuitive interface. The application is available as: - **Portable executable** for Windows - **AppImage** for Linux

AutoClip Streamer is a Windows desktop app that analyzes hours of livestreams (Twitch, Kick, OBS, YouTube) and finds the best moments. It transcribes speech with Whisper on your GPU, generates word-by-word subtitles with emojis, and exports vertical clips ready to publish. 100% local processing: your videos never leave your PC. No minute limits: process 4-hour or 8-hour streams. Highlight detection based on audio peaks and visual cues. Animated karaoke-style subtitles. OBS multi-track...

motionEyeOS is a Linux distribution that turns a single-board computer into a video surveillance system. The OS is based on BuildRoot and uses motion as a backend and motionEye for the frontend. Compatible with most USB cameras as well as with the Raspberry PI camera module. Motion detection with email notifications and working schedule. JPEG files for still images, AVI files for videos. Connects to your local network using ethernet or wifi.

Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. ...

youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured...

This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.

This is an accelerometer-based remote controller for mplayer. It works on the Nokia 95 phone and in combination with a server app running on the computer it translates hand gestures to mplayer commands such as fast forward, volume up etc.

oddioToolz (oz) aims to be a modular audio IDE geared toward realtime audio synthesis, manipulation, quantization, sequencing, interaction and the exchange of sound/modules/meta over computer and neural networks worldwide. oz needs help e-mail a dev!