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# Basic configurations of BIT |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/bit/ |
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model: !Node |
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type: BIT |
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# Configurations of CDNet with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/cdnet/ |
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model: !Node |
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type: CDNet |
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# Configurations of cdnet with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/cdnet/ |
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model: !Node |
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type: CDNet |
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===========================train_params=========================== |
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model_name:cd:cdnet |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/cdnet/cdnet_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/cdnet/cdnet_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/cdnet/cdnet_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:cdnet |
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null:null |
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# Basic configurations of ChangeFormer |
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# Configurations of ChangeFormer with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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# Configurations of ChangeFormer with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/changeformer/ |
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model: !Node |
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type: ChangeFormer |
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# Configurations of DSAMNet with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/dsamnet/ |
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model: !Node |
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type: DSAMNet |
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# Configurations of DSAMNet with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/dsamnet/ |
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model: !Node |
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type: DSAMNet |
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===========================train_params=========================== |
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model_name:cd:dsamnet |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/dsamnet/dsamnet_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/dsamnet/dsamnet_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/dsamnet/dsamnet_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:dsamnet |
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null:null |
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# Configurations of DSIFN with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/dsifn/ |
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model: !Node |
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type: DSIFN |
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# Configurations of DSIFN with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/dsifn/ |
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model: !Node |
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type: DSIFN |
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===========================train_params=========================== |
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model_name:cd:dsifn |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/dsifn/dsifn_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/dsifn/dsifn_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/dsifn/dsifn_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:dsifn |
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null:null |
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# Configurations of FC-EF with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/fc_ef/ |
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model: !Node |
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type: FCEarlyFusion |
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# Configurations of FC-EF with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/fc_ef/ |
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model: !Node |
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type: FCEarlyFusion |
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===========================train_params=========================== |
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model_name:cd:fc_ef |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/fc_ef/fc_ef_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/fc_ef/fc_ef_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/fc_ef/fc_ef_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:fc_ef |
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null:null |
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# Configurations of FC-Siam-conc with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/fc_siam_conc/ |
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model: !Node |
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type: FCSiamConc |
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# Configurations of FC-Siam-conc with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/fc_siam_conc/ |
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model: !Node |
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type: FCSiamConc |
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===========================train_params=========================== |
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model_name:cd:fc_siam_conc |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/fc_siam_conc/fc_siam_conc_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/fc_siam_conc/fc_siam_conc_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/fc_siam_conc/fc_siam_conc_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:fc_siam_conc |
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null:null |
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# Configurations of FC-Siam-diff with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/fc_siam_diff/ |
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model: !Node |
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type: FCSiamDiff |
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# Configurations of FC-Siam-diff with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/fc_siam_diff/ |
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model: !Node |
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type: FCSiamDiff |
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===========================train_params=========================== |
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model_name:cd:fc_siam_diff |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/fc_siam_diff/fc_siam_diff_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/fc_siam_diff/fc_siam_diff_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/fc_siam_diff/fc_siam_diff_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:fc_siam_diff |
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null:null |
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# Configurations of SNUNet with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/snunet/ |
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model: !Node |
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type: SNUNet |
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# Configurations of SNUNet with LEVIR-CD dataset |
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_base_: ../_base_/levircd.yaml |
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save_dir: ./test_tipc/output/cd/snunet/ |
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model: !Node |
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type: SNUNet |
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===========================train_params=========================== |
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model_name:cd:snunet |
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python:python |
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gpu_list:0|0,1 |
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use_gpu:null|null |
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--precision:null |
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--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
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--save_dir:adaptive |
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--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
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--model_path:null |
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--config:lite_train_lite_infer=./test_tipc/configs/cd/snunet/snunet_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/snunet/snunet_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/snunet/snunet_levircd.yaml |
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train_model_name:best_model |
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null:null |
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## |
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trainer:norm |
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norm_train:test_tipc/run_task.py train cd |
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pact_train:null |
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fpgm_train:null |
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distill_train:null |
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null:null |
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null:null |
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## |
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===========================eval_params=========================== |
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eval:null |
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null:null |
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## |
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===========================export_params=========================== |
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--save_dir:adaptive |
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--model_dir:adaptive |
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--fixed_input_shape:[-1,3,256,256] |
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norm_export:deploy/export/export_model.py |
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quant_export:null |
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fpgm_export:null |
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distill_export:null |
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export1:null |
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export2:null |
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===========================infer_params=========================== |
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infer_model:null |
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infer_export:null |
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infer_quant:False |
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inference:test_tipc/infer.py |
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--device:cpu|gpu |
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--enable_mkldnn:True |
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--cpu_threads:6 |
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--batch_size:1 |
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--use_trt:False |
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--precision:fp32 |
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--model_dir:null |
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--config:null |
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--save_log_path:null |
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--benchmark:True |
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--model_name:snunet |
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null:null |
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# Configurations of STANet with AirChange dataset |
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_base_: ../_base_/airchange.yaml |
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save_dir: ./test_tipc/output/cd/stanet/ |
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model: !Node |
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type: STANet |
@ -0,0 +1,8 @@ |
||||
# Configurations of STANet with LEVIR-CD dataset |
||||
|
||||
_base_: ../_base_/levircd.yaml |
||||
|
||||
save_dir: ./test_tipc/output/cd/stanet/ |
||||
|
||||
model: !Node |
||||
type: STANet |
@ -0,0 +1,53 @@ |
||||
===========================train_params=========================== |
||||
model_name:cd:stanet |
||||
python:python |
||||
gpu_list:0|0,1 |
||||
use_gpu:null|null |
||||
--precision:null |
||||
--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 |
||||
--save_dir:adaptive |
||||
--train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 |
||||
--model_path:null |
||||
--config:lite_train_lite_infer=./test_tipc/configs/cd/stanet/stanet_airchange.yaml|lite_train_whole_infer=./test_tipc/configs/cd/stanet/stanet_airchange.yaml|whole_train_whole_infer=./test_tipc/configs/cd/stanet/stanet_levircd.yaml |
||||
train_model_name:best_model |
||||
null:null |
||||
## |
||||
trainer:norm |
||||
norm_train:test_tipc/run_task.py train cd |
||||
pact_train:null |
||||
fpgm_train:null |
||||
distill_train:null |
||||
null:null |
||||
null:null |
||||
## |
||||
===========================eval_params=========================== |
||||
eval:null |
||||
null:null |
||||
## |
||||
===========================export_params=========================== |
||||
--save_dir:adaptive |
||||
--model_dir:adaptive |
||||
--fixed_input_shape:[-1,3,256,256] |
||||
norm_export:deploy/export/export_model.py |
||||
quant_export:null |
||||
fpgm_export:null |
||||
distill_export:null |
||||
export1:null |
||||
export2:null |
||||
===========================infer_params=========================== |
||||
infer_model:null |
||||
infer_export:null |
||||
infer_quant:False |
||||
inference:test_tipc/infer.py |
||||
--device:cpu|gpu |
||||
--enable_mkldnn:True |
||||
--cpu_threads:6 |
||||
--batch_size:1 |
||||
--use_trt:False |
||||
--precision:fp32 |
||||
--model_dir:null |
||||
--config:null |
||||
--save_log_path:null |
||||
--benchmark:True |
||||
--model_name:stanet |
||||
null:null |
@ -1,4 +1,4 @@ |
||||
# Basic configurations of HRNet |
||||
# Configurations of HRNet with UCMerced dataset |
||||
|
||||
_base_: ../_base_/ucmerced.yaml |
||||
|
Loading…
Reference in new issue