Fix models faster_rcnn_ and mask_rcnn_ architecture#318
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For MobileNet (15 anchors): Uses 5 base sizes × 3 aspect ratios [0.5, 1.0, 2.0] For ResNet (3 anchors): Uses single stride-scaled base size × aspect ratios [0.5, 1.0, 2.0] Converts anchors using box_cxcywh_to_xyxy() ensure MPS compatibility fix typo and remove non-default parameters in tests
Updated `fasterrcnn_model$forward()` to use postprocessing Updated `fasterrcnn_model_v2$forward()` to use postprocessing Updated `fasterrcnn_mobilenet_model$forward()` to use postprocessing Updated `maskrcnn_model$forward()` to use postprocessing Updated `maskrcnn_model_v2$forward()` to use postprocessing Simplified mask prediction logic (uses decoded boxes directly)
thus fix #316
Add bbox regression weights and clamp bbox deltas
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coco_classes()to the sparse 90 classes list to match model predictions.model_mask_rcnn_*model_faster_rcnn_*model_faster_rcnn_*Fix #316