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.

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...

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. ...