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Key Optimizations Made: Removed duplicate preprocessing - im_tensor computed once per image Vectorized operations - replaced loops with numpy vectorization Cached frequently used values - num_anchors, bbox_stds, etc. Removed debug/timing code - cleaner execution path Optimized memory allocation - preallocated arrays, in-place operations Simplified conditionals - reduced nested if/else structures Extracted config logic - _configure_fpn() method for cleaner init Used list comprehensions - faster than explicit loops Optimized array indexing - [:, [0, 2]] instead of individual operations Reduced redundant type conversions - specified dtype upfront Removed unused static methods - _filter_boxes, _filter_boxes2, _clip_pad Streamlined flip logic - combined operations
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Key Optimizations Made:
Removed duplicate preprocessing - im_tensor computed once per image Vectorized operations - replaced loops with numpy vectorization Cached frequently used values - num_anchors, bbox_stds, etc. Removed debug/timing code - cleaner execution path Optimized memory allocation - preallocated arrays, in-place operations Simplified conditionals - reduced nested if/else structures Extracted config logic - _configure_fpn() method for cleaner init Used list comprehensions - faster than explicit loops Optimized array indexing - [:, [0, 2]] instead of individual operations Reduced redundant type conversions - specified dtype upfront Removed unused static methods - _filter_boxes, _filter_boxes2, _clip_pad Streamlined flip logic - combined operations