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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,65 @@ | ||
| #!/bin/bash | ||
|
|
||
| function func_parser_key(){ | ||
| strs=$1 | ||
| IFS=":" | ||
| array=(${strs}) | ||
| tmp=${array[0]} | ||
| echo ${tmp} | ||
| } | ||
|
|
||
| function func_parser_value(){ | ||
| strs=$1 | ||
| IFS=":" | ||
| array=(${strs}) | ||
| tmp=${array[1]} | ||
| echo ${tmp} | ||
| } | ||
|
|
||
| function func_set_params(){ | ||
| key=$1 | ||
| value=$2 | ||
| if [ ${key}x = "null"x ];then | ||
| echo " " | ||
| elif [[ ${value} = "null" ]] || [[ ${value} = " " ]] || [ ${#value} -le 0 ];then | ||
| echo " " | ||
| else | ||
| echo "${key}=${value}" | ||
| fi | ||
| } | ||
|
|
||
| function func_parser_params(){ | ||
| strs=$1 | ||
| IFS=":" | ||
| array=(${strs}) | ||
| key=${array[0]} | ||
| tmp=${array[1]} | ||
| IFS="|" | ||
| res="" | ||
| for _params in ${tmp[*]}; do | ||
| IFS="=" | ||
| array=(${_params}) | ||
| mode=${array[0]} | ||
| value=${array[1]} | ||
| if [[ ${mode} = ${MODE} ]]; then | ||
| IFS="|" | ||
| #echo $(func_set_params "${mode}" "${value}") | ||
| echo $value | ||
| break | ||
| fi | ||
| IFS="|" | ||
| done | ||
| echo ${res} | ||
| } | ||
|
|
||
| function status_check(){ | ||
| last_status=$1 # the exit code | ||
| run_command=$2 | ||
| run_log=$3 | ||
| if [ $last_status -eq 0 ]; then | ||
| echo -e "\033[33m Run successfully with command - ${run_command}! \033[0m" | tee -a ${run_log} | ||
| else | ||
| echo -e "\033[33m Run failed with command - ${run_command}! \033[0m" | tee -a ${run_log} | ||
| fi | ||
| } | ||
|
|
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| ===========================train_params=========================== | ||
| model_name:basicvsr | ||
| python:python3.7 | ||
| gpu_list:0 | ||
| ## | ||
| auto_cast:null | ||
| total_iters:lite_train_lite_infer=5|whole_train_whole_infer=200 | ||
| output_dir:./output/ | ||
| dataset.train.batch_size:lite_train_lite_infer=1|whole_train_whole_infer=1 | ||
| pretrained_model:null | ||
| train_model_name:basicvsr_reds*/*checkpoint.pdparams | ||
| train_infer_img_dir:./data/basicvsr_reds/test | ||
| null:null | ||
| ## | ||
| trainer:norm_train | ||
| norm_train:tools/main.py -c configs/basicvsr_reds.yaml -o dataset.train.dataset.num_clips=2 | ||
| pact_train:null | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| --output_dir:./output/ | ||
| load:null | ||
| norm_export:tools/export_model.py -c configs/basicvsr_reds.yaml --inputs_size="1,6,3,180,320" --load | ||
| quant_export:null | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:basicvsrmodel_generator | ||
| train_model:./inference/basicvsr/basicvsrmodel_generator | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/inference.py --model_type basicvsr -c configs/basicvsr_reds.yaml -o dataset.test.num_clips=2 dataset.test.number_frames=6 | ||
| --device:gpu | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| --model_path: | ||
| null:null | ||
| null:null | ||
| --benchmark:True | ||
| null:null |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| ===========================train_params=========================== | ||
| model_name:cyclegan | ||
| python:python3.7 | ||
| gpu_list:0|0,1 | ||
| ## | ||
| auto_cast:null | ||
| epochs:lite_train_lite_infer=5|whole_train_whole_infer=200 | ||
| output_dir:./output/ | ||
| dataset.train.batch_size:lite_train_lite_infer=1|whole_train_whole_infer=1 | ||
| pretrained_model:null | ||
| train_model_name:cyclegan_horse2zebra*/*checkpoint.pdparams | ||
| train_infer_img_dir:./data/horse2zebra/test | ||
| null:null | ||
| ## | ||
| trainer:norm_train | ||
| norm_train:tools/main.py -c configs/cyclegan_horse2zebra.yaml -o | ||
| pact_train:null | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| --output_dir:./output/ | ||
| load:null | ||
| norm_export:tools/export_model.py -c configs/cyclegan_horse2zebra.yaml --inputs_size="-1,3,-1,-1;-1,3,-1,-1" --load | ||
| quant_export:null | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:cycleganmodel_netG_A | ||
| train_model:./inference/cyclegan_horse2zebra/cycleganmodel_netG_A | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/inference.py --model_type cyclegan -c configs/cyclegan_horse2zebra.yaml | ||
| --device:gpu | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| --model_path: | ||
| null:null | ||
| null:null | ||
| --benchmark:True | ||
| null:null |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| ===========================train_params=========================== | ||
| model_name:fom | ||
| python:python3.7 | ||
| gpu_list:0 | ||
| ## | ||
| auto_cast:null | ||
| epochs:lite_train_lite_infer=10|whole_train_whole_infer=100 | ||
| output_dir:./output/ | ||
| dataset.train.batch_size:lite_train_lite_infer=8|whole_train_whole_infer=8 | ||
| pretrained_model:null | ||
| train_model_name:firstorder_vox_256*/*checkpoint.pdparams | ||
| train_infer_img_dir:./data/firstorder_vox_256/test | ||
| null:null | ||
| ## | ||
| trainer:norm_train | ||
| norm_train:tools/main.py -c configs/firstorder_vox_256.yaml -o | ||
| pact_train:null | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| --output_dir:./output/ | ||
| load:null | ||
| norm_export:tools/export_model.py -c configs/firstorder_vox_256.yaml --inputs_size="1,3,256,256;1,3,256,256;1,10,2;1,10,2,2" --load | ||
| quant_export:null | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:fom_dy2st | ||
| train_model:./inference/fom_dy2st/ | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/fom_infer.py --driving_path data/first_order/Voxceleb/test --output_path infer_output/fom | ||
| --device:gpu | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| --model_path: | ||
| null:null | ||
| null:null | ||
| --benchmark:True | ||
| null:null |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| ===========================train_params=========================== | ||
| model_name:pix2pix | ||
| python:python3.7 | ||
| gpu_list:0|0,1 | ||
| ## | ||
| auto_cast:null | ||
| epochs:lite_train_lite_infer=5|whole_train_whole_infer=200 | ||
| output_dir:./output/ | ||
| dataset.train.batch_size:lite_train_lite_infer=1|whole_train_whole_infer=1 | ||
| pretrained_model:null | ||
| train_model_name:pix2pix_facades*/*checkpoint.pdparams | ||
| train_infer_img_dir:./data/facades/test | ||
| null:null | ||
| ## | ||
| trainer:norm_train | ||
| norm_train:tools/main.py -c configs/pix2pix_facades.yaml -o | ||
| pact_train:null | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| --output_dir:./output/ | ||
| load:null | ||
| norm_export:tools/export_model.py -c configs/pix2pix_facades.yaml --inputs_size="-1,3,-1,-1" --load | ||
| quant_export:null | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:pix2pixmodel_netG | ||
| train_model:./inference/pix2pix_facade/pix2pixmodel_netG | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/inference.py --model_type pix2pix -c configs/pix2pix_facades.yaml | ||
| --device:cpu | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| --model_path: | ||
| null:null | ||
| null:null | ||
| --benchmark:True | ||
| null:null |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| ===========================train_params=========================== | ||
| model_name:stylegan2 | ||
| python:python3.7 | ||
| gpu_list:0 | ||
| ## | ||
| auto_cast:null | ||
| total_iters::lite_train_lite_infer=10|whole_train_whole_infer=800 | ||
| output_dir:./output/ | ||
| dataset.train.batch_size:lite_train_lite_infer=3|whole_train_whole_infer=3 | ||
| pretrained_model:null | ||
| train_model_name:stylegan_v2_256_ffhq*/*checkpoint.pdparams | ||
| train_infer_img_dir:null | ||
| null:null | ||
| ## | ||
| trainer:norm_train | ||
| norm_train:tools/main.py -c configs/stylegan_v2_256_ffhq.yaml -o | ||
| pact_train:null | ||
| fpgm_train:null | ||
| distill_train:null | ||
| null:null | ||
| null:null | ||
| ## | ||
| ===========================eval_params=========================== | ||
| eval:null | ||
| null:null | ||
| ## | ||
| ===========================infer_params=========================== | ||
| --output_dir:./output/ | ||
| load:null | ||
| norm_export:tools/export_model.py -c configs/stylegan_v2_256_ffhq.yaml --inputs_size="1,1,512;1,1" --load | ||
| quant_export:null | ||
| fpgm_export:null | ||
| distill_export:null | ||
| export1:null | ||
| export2:null | ||
| inference_dir:stylegan2model_gen | ||
| train_model:./inference/stylegan2/stylegan2model_gen | ||
| infer_export:null | ||
| infer_quant:False | ||
| inference:tools/inference.py --model_type stylegan2 -c configs/stylegan_v2_256_ffhq.yaml | ||
| --device:gpu | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| null:null | ||
| --model_path: | ||
| null:null | ||
| null:null | ||
| --benchmark:True | ||
| null:null |
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