My phone replaced a brass plug
drobinin.com
April 23, 2026
11 min read
🔥🔥🔥🔥🔥
54/100
Summary
A cooking project involving venison required learning to shoot and tracking progress through the adaptation of a 2012 OpenCV paper. Training a state-of-the-art computer vision model contributed to a longer preparation time for the dinner.
Key Takeaways
- The author trained a state-of-the-art computer vision model to automate the scoring of shooting targets.
- The UK allows deer hunting without a hunting or rifle license under specific conditions, as red deer are considered pests.
- The author utilized Apple's Vision framework for object detection but faced challenges in accurately identifying bullet holes as negative space.
- The author experimented with various image processing techniques, including grayscale and noise manipulation, to improve detection of bullet holes.
Community Sentiment
Positives
- The development of a state-of-the-art computer vision model for scoring shooting demonstrates the innovative application of AI in practical scenarios, enhancing accuracy and user experience.
- The use of electronic scoring targets showcases how modern technology can improve traditional practices, providing immediate feedback and increasing engagement for audiences.
Concerns
- There are concerns that reliance on advanced technology, like AI and automation, may negatively impact mental health by removing the calming, manual processes that are beneficial for human minds.