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17 Commits (f45f9657ab52c03385d1678b4292b6cb31cc64bb)

 

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Author	SHA1	Message	Date
mht	f45f9657ab	Fix: Remove invalid debug_get_conv3_1t_output and debug_get_conv4_1t_output calls from test_models.cpp - Removed calls to non-existent BBRegressor methods debug_get_conv3_1t_output and debug_get_conv4_1t_output in test/test_models.cpp. - Restored correct BBRegressor processing logic using get_iou_feat, get_modulation, and predict_iou. - This resolves build errors introduced by referencing methods that were never implemented. - Build and test workflow now completes successfully.	3 weeks ago
mht	c0e5aa7d0a	Fix ResNet BatchNorm parameter loading and enhance BN1 debugging. Corrected loading of BatchNorm running_mean, running_var, and num_batches_tracked parameters in C++ ResNet BottleneckImpl and ResNetImpl to use direct member assignment instead of named_buffers(). This resolved discrepancies with Python's BatchNorm behavior. Added detailed intermediate output saving for bn1 in both C++ ResNet and Python comparison script to facilitate debugging. Ensured Python comparison script correctly loads and compares these new ResNet intermediate tensors. This series of changes led to numerical equivalence for ResNet conv1, bn1, and subsequently layer1-4 outputs between Python and C++.	2 months ago
mht	2593cf5d95	Add DiMPTracker class shell and update CMakeLists	2 months ago
mht	8ed90f273e	Fix BBRegressor: Apply modulation before PrRoIPool in predict_iou	2 months ago
mht	e61886fb23	Fix NameError in compare_models; Add ResNet BN1 debug prints; Prepare to address other modules	2 months ago
mht	e2f46802bf	Feat: Achieved perfect Conv1, good BN1/ReLU1/MaxPool similarity. README updated.	2 months ago
mht	b35529cf41	Fix: CUDA setup, demo script errors, weight paths & .gitignore	2 months ago
mht	ba35c5b500	a stable stage	2 months ago
mht	c4156feccc	Refactor: Remove double precision in BBRegressor LinearBlock	2 months ago
mht	988d8622fa	Fix: Correct classifier weight loading and device handling	2 months ago
mht	2502097f00	Docs: Enhance HTML report metrics and add test framework README	2 months ago
mht	b0e3aec380	Implement robust IoU prediction with CPU fallback and no constant values	2 months ago
mht	ac85c8cad7	Fix IoU predictor dimension handling with proper feature reduction	2 months ago
mht	3e5157c2e2	Implement CPU fallback for dimension mismatch in predict_iou function	2 months ago
mht	c083a24bc3	Fix device mismatch error in predict_iou function	2 months ago
mht	d704cda9c0	Update README.md to emphasize CUDA requirement and remove CPU fallback references	2 months ago
mht	8a209ad4f1	Intial commit	2 months ago