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Satya Mallick

@LearnOpenCV • 14,783 subscribers

CEO, https://t.co/CzUdJlxzJM. CEO, https://t.co/et3i4a7oGF Entrepreneur. Ph.D. ( Computer Vision & Machine Learning ). Author: https://t.co/olraDEG5Ue

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I used GPT-6 Astra Ultra to track a tennis ball. The results are impressive until I tell you the following. Ball annotation, using 3 parallel agents took 8m 35s and 17,611 tokens. Complete workflow: 11m 49s and 30,481 tokens. The complete workflow also processed 313,914 uncached input tokens and 7,528,320 cached input tokens. That's a total of 7.87 million total, mostly context reused across frame-inspection calls.

I used GPT-6 Astra Ultra to track a tennis ball. The results are impressive until I tell you the following. Ball annotation, using 3 parallel agents took 8m 35s and 17,611 tokens. Complete workflow: 11m 49s and 30,481 tokens. The complete workflow also processed 313,914 uncached input tokens and 7,528,320 cached input tokens. That's a total of 7.87 million total, mostly context reused across frame-inspection calls.

1,120,065 Aufrufe

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When the blink detector has more independent validation than Theranos. 😅 Built with HRFFA: per-person blink counting, facial landmarks, and synchronized audio/visual markers.

When the blink detector has more independent validation than Theranos. 😅 Built with HRFFA: per-person blink counting, facial landmarks, and synchronized audio/visual markers.

589,008 Aufrufe • vor 1 Monat

1/20 I trained two segmentation models using GPT-6 Astra Ultra as the orchestrator with no human labels supplied. My prompt was very lazy too as I had to catch a flight. RF-DETR-Seg-M predictions: Left: SAM3 training masks Right: Astra training masks Both videos held out.

1/20 I trained two segmentation models using GPT-6 Astra Ultra as the orchestrator with no human labels supplied. My prompt was very lazy too as I had to catch a flight. RF-DETR-Seg-M predictions: Left: SAM3 training masks Right: Astra training masks Both videos held out.

31,514 Aufrufe • vor 1 Monat

⚡️Did you know YOLOv8 is an anchor-free object detection model, and YOLOv5 is an anchor-based object detection model? We conduct an in-depth comparison between them and carry out inference for detection and segmentation. #yolo #yolov8 #yolov5 #ai

⚡️Did you know YOLOv8 is an anchor-free object detection model, and YOLOv5 is an anchor-based object detection model? We conduct an in-depth comparison between them and carry out inference for detection and segmentation. #yolo #yolov8 #yolov5 #ai

84,454 Aufrufe • vor 3 Jahren

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