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The procedure adheres to an organized sequence built for expandability. It commences with a preprocessing module that translates pixel-based binary masks into normalized polygon sequences, effectively converting fixed images into a dataset prepared for training. After applying a conventional 80/20 data division, the model undergoes training with particular emphasis on a single-category identification setup. The concluding segment of the guide covers post-processing, illustrating the method to isolate individual forecasted masks from the model's results and merge them into an all-encompassing final mask for display. This approach guarantees that, should several water bodies be identified as distinct entities, they are unified into one depiction of the inundated area.
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在这一背景下，v37:CShape[0x80000] = GuardBitEquals v36, CShape(0x80000)
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更深入地研究表明，Just as in Go, a concrete type implements an interface by providing the necessary methods:
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