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A lightweight attention mechanism combining space and channel was designed based on RetinaNet, which makes the network pay more attention to pin regions and improve feature utilization. The combination of K-Means and differential evolution algorithm is used to derive anchor ratio, reduce anchor box search time, and improve detection efficiency. By improving the Canny Franklin moment and performing subpixel edge detection on pins, the chip pins are positioned more accurately while ensuring efficiency. 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