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comparison
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deimv2 training curve convergence redundancy removal
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2026-03-24 15:32:15 +03:00 |
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datasets
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new objects365v2 yaml following the practices from the literature
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2026-03-31 15:20:56 +03:00 |
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benchmark_plot.py
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rf and deimv2 values are update on xl and xxl scale
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2026-04-20 15:06:21 +03:00 |
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export.py
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export updates for deimv2 model types
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2026-03-24 15:31:19 +03:00 |
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export_deimv2.py
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additional trials for handling deimv2 export problem
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2026-04-17 03:00:53 -05:00 |
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multi_node.sh
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multi-node reverted because some minor bug at the end of training
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2026-01-09 20:08:58 +03:00 |
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predict.py
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feat: add YOLO-DETR prediction and export utility scripts
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2026-02-05 18:21:51 +03:00 |
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prepare_obj365.py
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prepare obj updated for second trial
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2026-03-31 09:53:14 +03:00 |
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profile_onnx.py
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profile onnx file is added
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2026-02-10 13:36:38 +03:00 |
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rtdetr_eval_config.yaml
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eval config updated
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2025-12-22 19:29:18 +03:00 |
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rtdetr_train_config.yaml
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deterministic true and seed 42 is defaulted in my training configs
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2026-03-13 09:58:44 +03:00 |
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rtdetr_train_config_gpu.yaml
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refactor(rtdetr): restore sta_exclusion backbone lr routing
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2026-04-02 18:29:32 +03:00 |
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rtdetr_train_config_gpu_augdefault.yaml
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refactor(rtdetr): restore sta_exclusion backbone lr routing
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2026-04-02 18:29:32 +03:00 |
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rtdetr_train_config_obj365.yaml
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obj365 train file bug fix
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2026-02-08 01:05:49 +03:00 |
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rtdetr_train_config_overfit.yaml
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detach for teachers and overfit config for future
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2026-01-27 18:53:01 +03:00 |
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rtdetr_train_pr.yaml
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config: reduce batch size for rtdetr training profile
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2026-02-23 14:41:45 +03:00 |
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split_obj365_val.py
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feat: add Objects365 val-to-train split script
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2026-03-26 11:04:54 +03:00 |
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ultra_deformable_2506.def
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2506 container def file updated with onnxruntime and onnxslim
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2026-01-06 10:08:28 +03:00 |
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ultra_deformable_2510.def
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first timm integration trials
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2025-12-17 16:44:11 +03:00 |
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wandb_to_platform_export.py
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wandb export limited push
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2026-02-04 11:37:21 +03:00 |
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yolo_debug.py
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debug name show for engine models
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2026-04-17 07:05:31 -05:00 |
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yolo_eval.py
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feat: add --model-class argument to yolo_eval for multi-model support
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2026-03-09 12:49:28 +03:00 |
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yolo_export.py
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recent yolo export python file update in T4 machine
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2026-03-24 14:48:46 +03:00 |
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yolo_train.py
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Make working dir yolo_train resilient to missing DEIM model wrappers during PR
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2026-04-07 11:24:27 +03:00 |
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yolo_train_mn.py
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pretrained is removed from working dir train files
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2026-02-12 12:57:41 +03:00 |
