CV Brief · Saturday, 27 June 2026
CV Brief
Tools & Releases
Fine-Tune RF-DETR Keypoints on Custom Basketball Court Data
Step-by-step guide to fine-tuning RF-DETR for keypoint detection using COCO pretraining, covering training, evaluation, and video inference. Directly applicable for practitioners building pose estimation and sports analytics pipelines.
Read more →Which Tokens Does a Hybrid Model Predict Better?
Analysis of hybrid model token prediction performance across different token types. Relevant for understanding efficiency tradeoffs when deploying vision-language models in production pipelines.
Read more →Computer Use in Gemini 3.5 Flash: Automation via Vision
Google introduces computer use capabilities in Gemini 3.5 Flash, enabling visual screen understanding and task automation. Emerging capability for building CV-driven RPA and autonomous workflow systems.
Read more →Getting Started in CV/ML
NVIDIA LocateAnything: 10x Faster Bounding Box Detection
NVIDIA rethought bounding box detection fundamentals to achieve 10x speedup in object detection. The breakthrough challenges a core assumption in vision-language models used for visual grounding and localization tasks.
Read more →When extracting crops from CCTV at scale, always use frame seeking (cv2.CAP_PROP_POS_FRAMES) instead of sequential reads. On a 2-hour video at 1FPS you'll go from hours to minutes.