-
Running Gemma 4 Locally with LM Studio's Desktop App
Read the full tutorial here: https://pyimg.co/1rpad -
Running Gemma 4 Locally with llama cpp and GGUF Models
Read the full tutorial here: https://pyimg.co/1rpad -
SAM 3 for Video Concept Aware Segmentation and Tracking: Text-Prompt Video Tracking
Read the full tutorial here: https://pyimg.co/luxfd -
SAM 3 for Video Concept Aware Segmentation and Tracking: Real-Time Text-Prompt Tracking (Webcam)
Read the full tutorial here: https://pyimg.co/luxfd -
SAM 3 for Video Concept Aware Segmentation and Tracking: Single-Click Object Tracking
Read the full tutorial here: https://pyimg.co/luxfd -
SAM 3 for Video Concept Aware Segmentation and Tracking: Multi-Click Object Tracking
Read the full tutorial here: https://pyimg.co/luxfd -
Advanced SAM 3: Multi Modal Prompting and Interactive Segmentation
Read the full tutorial here: https://pyimg.co/5c4ag -
Grounded SAM 2: From Open Set Detection to Segmentation and Tracking
Read the full tutorial here: https://pyimg.co/flutd -
Grounding DINO: Open Vocabulary Object Detection on Videos
-
Build a VLC Playlist Generator with SmolVLM for Video Highlight Tagging
-
Running SmolVLM Locally in Your Browser with Transformers.js
-
Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset - Video Input Demo
