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mmdeploy/tests/regression/mmseg.yml

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[Feature] Regression test for mmdeploy (#302) * Add regression test script * Add doc * Add test yaml for mmdet * evaluate_outputs Add return result (cherry picked from commit c8c9cd75df7916aa4d80a7b8bfb8a78e04446cad) * object_detection return metric after eval (cherry picked from commit 1b8dcaa39ed14f016bf51d1aee65c2c416cd7c33) * move `deploy_config_dir` to `global_info` in test yaml * fix path error * Improve test yaml structure * Add test env for saving regression report * Fix SDK test report will crash * Get SDK FPS * Add mmcls regression test yaml * Using CMD to test the backend result * Get metric from log file * Imporve coding * Imporve coding * restructure test yaml * resturcture the test yaml and coding, using pipeline style * Fixed wont saving into report when cant find `backend_test` and `sdk_config` * set `metric_info` in test yaml * improve test yaml * Fixed will get black checkpoint file name * Fix lint * Fix yaml * Add common in test yaml * Resturcture mmcla test yaml * Resturcture mmcla test yaml * Improve mmcls test yaml * mmcls test success * Improve tes yaml field * Add `--test-img` only when `test_img_path` is not None * Add `precision_type` in report * Not saving pkl result file any more * Add 'x' install of '-' when script crash * Fix some field in mmcls test yaml * Add mmseg test yaml * Add unknown backend final file name * Improve backend file dict * Add mmseg success * unify the checkpoint path to relate path * unify the checkpoint path to relate path * Add mmpose, need to test * Support backend file list to `--model` when test the backend * Fix lint * Add some common * FPS get from log always get 1:10 line * Add dataset in report when test backend * Get dataset type from model config file * Replace pipeline.json topk * SDK report add backend name * Add txt report, it will save each test * update mmcls config * Add `calib-dataset-cfg` in cmd when it exist in tset yaml * make model path shorter by cutting the work_dir_root * Add `task_name` in test yaml * Add `task_name` in report * Improve test yaml * Add mmocr test yaml * Get mmocr fps metric success * Add `dataset` feild in test yaml * Report will skip when the dataset name not in test yaml * Add dbnet in mmocr test yaml and success get metric * Add mmedit test yaml * Improve some common * Add mmedit success * Fix lint * Fix isort lint * Fix yapf lint * Undo some changes in `evaluate_outputs` * Undo some changes in `evaluate_outputs` * Improve test requirement.txt * Undo some changes in `evaluate_outputs` * Improve doc * Improve mmedit test yaml * Using `--divice` * Fix lint * Using `--performance` replace `--test-type` * Fix lint * Fix page link * Fix backend name * Using `logger` instead of `print` * Fix lint * Add TorchScript in the doc * Add type hint for all the funcs * Fix docformatter lint * Fix path in report have the root of work dir * mmdet add other backend in tast yaml * mmdet add other backend in tast yaml * mmocr add other backend in tast yaml * mmedit add other backend in tast yaml * mmpose add other backend in tast yaml * Delete filed `codebase_model_config_dir` in test yaml * Using `Config` in metafile.yml instal of `Name` from allmodel config files. * Fix yapf lint * update mmpose mmseg config * Fix lint * Imporve mmcls test yaml * Imporve mmedit test yaml * Imporve mmedit test yaml * Imporve mmseg test yaml * update mmdet yml * Not using pth when conver sucess when in only convert mode * Using metafile dataset when can not get `model_cfg.dataset_type` * Fixed `model_name` incorrect in some codebase * Improve mmcls test yaml image * Improve mmedit test yaml image * Improve mmocr test yaml image * Improve mmseg test yaml image * Fix test yaml bug * Support overwirte `metric_tolerance` * Add `metric_tolerance` in mmcls * Fixed yaml bug * mmcls add all models, which had already supported, in test yaml * Fix report will not replace to ${WORK_DIR} * Add metric tolerance in mmcls test yaml * Modefied mmcls global metric tolreance * remove `metric_tolerance` in each pipeline * Improve mmcls test yaml * mmcls add TODO * imporve test yaml `pp`l -> `pplnn` * mmdet add all models, which had already supported, in test yaml * mmedit add all models, which had already supported, in test yaml * mmocr add all models, which had already supported, in test yaml * mmpose add all models, which had already supported, in test yaml * Replace `sdk_xxx_fp32` to `sdk_xxx` * mmseg add all models, which had already supported, in test yaml * Import the backend order of test yaml * Fix mmseg test yaml pplnn static config * Add notes for Windows user in the doc * Fix get metric from different metric name but correct dataset name. * Fix mmedit dataset incorrect * Fix test yaml of mmedit * Fix lint * Fix mmpose can't find metric * Improve mmseg trt testing config * Add dataset in mmdet test yaml * Add logs when continue in the code * Fix mmpose get metric log error * Fix mmdet can not get metric * Add merge report into one * Fix lint * Add version in the report * log2file for each backend * Fix lint * Improve report merge * update mmseg yml to shape 1024x2048 * Fix dependences for merging report * Imporve mmcls yaml, add `ShuffleNetV1` and `ShuffleNetV2` * Fix name of model in test yaml with a space will crash when convert * Add commons for test yaml metric tolerance * Add mmdet seg detail config in test yaml * Improve mmdet test yaml * Fix mmdet mskrcnn metric Co-authored-by: maningsheng <mnsheng@yeah.net>
2022-04-28 08:03:59 +08:00
globals:
codebase_dir: ../mmsegmentation
checkpoint_force_download: False
images:
img_leftImg8bit: &img_leftImg8bit ../mmsegmentation/tests/data/pseudo_cityscapes_dataset/leftImg8bit/frankfurt_000000_000294_leftImg8bit.png
img_loveda_0: &img_loveda_0 ../mmsegmentation/tests/data/pseudo_loveda_dataset/img_dir/0.png
img_loveda_1: &img_loveda_1 ../mmsegmentation/tests/data/pseudo_loveda_dataset/img_dir/1.png
img_loveda_2: &img_loveda_2 ../mmsegmentation/tests/data/pseudo_loveda_dataset/img_dir/2.png
img_potsdam: &img_potsdam ../mmsegmentation/tests/data/pseudo_potsdam_dataset/img_dir/2_10_0_0_512_512.png
img_vaihingen: &img_vaihingen ../mmsegmentation/tests/data/pseudo_vaihingen_dataset/img_dir/area1_0_0_512_512.png
metric_info: &metric_info
mIoU: # named after metafile.Results.Metrics
eval_name: mIoU # test.py --metrics args
metric_key: mIoU # eval OrderedDict key name
tolerance: 5 # metric ±n%
task_name: Semantic Segmentation # metafile.Results.Task
[Enhancement] Improve MMDeploy Regression test (#425) * make regression test as a module under project * using `--codebase` instead of `--deploy-yml` * Improve doc for `--codebase` * Add shorter arg `-p` for `--performance` * make `checopoint-dir` as an arg for the script * Gen error log when convert fail. * Improve res code for testing * Doc add sdk test detail * Doc add env setup * Fix lint * Fix doc lint * Improve model path in report * Improve report title * Improve report checkpoint path * Fix lint * move test yaml under `tests/regression` * Improve the test yaml path * Fix lint * Improve doc * make func `update_report` code better * move doc to new location * Fix arg * Update arg details * Use cpu when openvino and onnxruntime cpu package * Fix word * Fix func of openpyxl 3.0.9 * Add some info * Fix lint * Fix filename * Fix doc link * Fix dir name with space when is not sdk * Add args `--models` for test specific model(s) * not saving report when no model in codebase when using `--models` * Fix doc * Fix lint * Add table for metric in doc * Improve table for doc * Using `None` install of `['all']` * Improce doc * set device type properly * Increate popen bufsize * Add `precision_type` in `work-dir` * Fix popen stuck * Fix lint * Fix lint * Fix popen stuck by using file handler * Make metric dataset as a list * Update mmseg.yml * Remove 'FPS' in the report * Update do_regression_test.md * Improve log * Fix codespell * Fix doc * ncnn only save `xxx.param` as checkpoint name in the report Co-authored-by: maningsheng <mnsheng@yeah.net>
2022-05-27 17:08:32 +08:00
dataset: [Cityscapes, ADE20K] # metafile.Results.Dataset
[Feature] Regression test for mmdeploy (#302) * Add regression test script * Add doc * Add test yaml for mmdet * evaluate_outputs Add return result (cherry picked from commit c8c9cd75df7916aa4d80a7b8bfb8a78e04446cad) * object_detection return metric after eval (cherry picked from commit 1b8dcaa39ed14f016bf51d1aee65c2c416cd7c33) * move `deploy_config_dir` to `global_info` in test yaml * fix path error * Improve test yaml structure * Add test env for saving regression report * Fix SDK test report will crash * Get SDK FPS * Add mmcls regression test yaml * Using CMD to test the backend result * Get metric from log file * Imporve coding * Imporve coding * restructure test yaml * resturcture the test yaml and coding, using pipeline style * Fixed wont saving into report when cant find `backend_test` and `sdk_config` * set `metric_info` in test yaml * improve test yaml * Fixed will get black checkpoint file name * Fix lint * Fix yaml * Add common in test yaml * Resturcture mmcla test yaml * Resturcture mmcla test yaml * Improve mmcls test yaml * mmcls test success * Improve tes yaml field * Add `--test-img` only when `test_img_path` is not None * Add `precision_type` in report * Not saving pkl result file any more * Add 'x' install of '-' when script crash * Fix some field in mmcls test yaml * Add mmseg test yaml * Add unknown backend final file name * Improve backend file dict * Add mmseg success * unify the checkpoint path to relate path * unify the checkpoint path to relate path * Add mmpose, need to test * Support backend file list to `--model` when test the backend * Fix lint * Add some common * FPS get from log always get 1:10 line * Add dataset in report when test backend * Get dataset type from model config file * Replace pipeline.json topk * SDK report add backend name * Add txt report, it will save each test * update mmcls config * Add `calib-dataset-cfg` in cmd when it exist in tset yaml * make model path shorter by cutting the work_dir_root * Add `task_name` in test yaml * Add `task_name` in report * Improve test yaml * Add mmocr test yaml * Get mmocr fps metric success * Add `dataset` feild in test yaml * Report will skip when the dataset name not in test yaml * Add dbnet in mmocr test yaml and success get metric * Add mmedit test yaml * Improve some common * Add mmedit success * Fix lint * Fix isort lint * Fix yapf lint * Undo some changes in `evaluate_outputs` * Undo some changes in `evaluate_outputs` * Improve test requirement.txt * Undo some changes in `evaluate_outputs` * Improve doc * Improve mmedit test yaml * Using `--divice` * Fix lint * Using `--performance` replace `--test-type` * Fix lint * Fix page link * Fix backend name * Using `logger` instead of `print` * Fix lint * Add TorchScript in the doc * Add type hint for all the funcs * Fix docformatter lint * Fix path in report have the root of work dir * mmdet add other backend in tast yaml * mmdet add other backend in tast yaml * mmocr add other backend in tast yaml * mmedit add other backend in tast yaml * mmpose add other backend in tast yaml * Delete filed `codebase_model_config_dir` in test yaml * Using `Config` in metafile.yml instal of `Name` from allmodel config files. * Fix yapf lint * update mmpose mmseg config * Fix lint * Imporve mmcls test yaml * Imporve mmedit test yaml * Imporve mmedit test yaml * Imporve mmseg test yaml * update mmdet yml * Not using pth when conver sucess when in only convert mode * Using metafile dataset when can not get `model_cfg.dataset_type` * Fixed `model_name` incorrect in some codebase * Improve mmcls test yaml image * Improve mmedit test yaml image * Improve mmocr test yaml image * Improve mmseg test yaml image * Fix test yaml bug * Support overwirte `metric_tolerance` * Add `metric_tolerance` in mmcls * Fixed yaml bug * mmcls add all models, which had already supported, in test yaml * Fix report will not replace to ${WORK_DIR} * Add metric tolerance in mmcls test yaml * Modefied mmcls global metric tolreance * remove `metric_tolerance` in each pipeline * Improve mmcls test yaml * mmcls add TODO * imporve test yaml `pp`l -> `pplnn` * mmdet add all models, which had already supported, in test yaml * mmedit add all models, which had already supported, in test yaml * mmocr add all models, which had already supported, in test yaml * mmpose add all models, which had already supported, in test yaml * Replace `sdk_xxx_fp32` to `sdk_xxx` * mmseg add all models, which had already supported, in test yaml * Import the backend order of test yaml * Fix mmseg test yaml pplnn static config * Add notes for Windows user in the doc * Fix get metric from different metric name but correct dataset name. * Fix mmedit dataset incorrect * Fix test yaml of mmedit * Fix lint * Fix mmpose can't find metric * Improve mmseg trt testing config * Add dataset in mmdet test yaml * Add logs when continue in the code * Fix mmpose get metric log error * Fix mmdet can not get metric * Add merge report into one * Fix lint * Add version in the report * log2file for each backend * Fix lint * Improve report merge * update mmseg yml to shape 1024x2048 * Fix dependences for merging report * Imporve mmcls yaml, add `ShuffleNetV1` and `ShuffleNetV2` * Fix name of model in test yaml with a space will crash when convert * Add commons for test yaml metric tolerance * Add mmdet seg detail config in test yaml * Improve mmdet test yaml * Fix mmdet mskrcnn metric Co-authored-by: maningsheng <mnsheng@yeah.net>
2022-04-28 08:03:59 +08:00
convert_image: &convert_image
input_img: *img_leftImg8bit
test_img: *img_loveda_0
backend_test: &default_backend_test True
sdk:
sdk_dynamic: &sdk_dynamic configs/mmseg/segmentation_sdk_dynamic.py
onnxruntime:
pipeline_ort_static_fp32: &pipeline_ort_static_fp32
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_onnxruntime_static-1024x2048.py
pipeline_ort_dynamic_fp32: &pipeline_ort_dynamic_fp32
convert_image: *convert_image
deploy_config: configs/mmseg/segmentation_onnxruntime_dynamic.py
tensorrt:
pipeline_trt_static_fp32: &pipeline_trt_static_fp32
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt_static-1024x2048.py
pipeline_trt_static_fp16: &pipeline_trt_static_fp16
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt-fp16_static-1024x2048.py
pipeline_trt_static_int8: &pipeline_trt_static_int8
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt-int8_static-1024x2048.py
pipeline_trt_dynamic_fp32: &pipeline_trt_dynamic_fp32
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt_dynamic-512x1024-2048x2048.py
pipeline_trt_dynamic_fp16: &pipeline_trt_dynamic_fp16
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt-fp16_dynamic-512x1024-2048x2048.py
pipeline_trt_dynamic_int8: &pipeline_trt_dynamic_int8
convert_image: *convert_image
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmseg/segmentation_tensorrt-int8_dynamic-512x1024-2048x2048.py
openvino:
pipeline_openvino_dynamic_fp32: &pipeline_openvino_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_openvino_dynamic-1024x2048.py
pipeline_openvino_static_fp32: &pipeline_openvino_static_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_openvino_static-1024x2048.py
ncnn:
pipeline_ncnn_static_fp32: &pipeline_ncnn_static_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_ncnn_static-512x512.py
pplnn:
pipeline_pplnn_dynamic_fp32: &pipeline_pplnn_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_pplnn_dynamic-1024x2048.py
pipeline_pplnn_static_fp32: &pipeline_pplnn_static_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_pplnn_static-1024x2048.py
torchscript:
pipeline_ts_fp32: &pipeline_ts_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmseg/segmentation_torchscript.py
models:
- name: FCN
metafile: configs/fcn/fcn.yml
model_configs:
- configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_dynamic_fp32
# - *pipeline_trt_dynamic_fp32
- *pipeline_trt_dynamic_fp16
# - *pipeline_trt_dynamic_int8
- *pipeline_ncnn_static_fp32
- *pipeline_pplnn_dynamic_fp32
- *pipeline_openvino_dynamic_fp32
- name: PSPNet
metafile: configs/pspnet/pspnet.yml
model_configs:
- configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_pplnn_static_fp32
- *pipeline_openvino_static_fp32
- name: deeplabv3
metafile: configs/deeplabv3/deeplabv3.yml
model_configs:
- configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_pplnn_dynamic_fp32
- *pipeline_openvino_dynamic_fp32
- name: deeplabv3+
metafile: configs/deeplabv3plus/deeplabv3plus.yml
model_configs:
- configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_pplnn_dynamic_fp32
- *pipeline_openvino_dynamic_fp32
- name: Fast-SCNN
metafile: configs/fastscnn/fastscnn.yml
model_configs:
- configs/fastscnn/fast_scnn_lr0.12_8x4_160k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- *pipeline_pplnn_static_fp32
- *pipeline_openvino_static_fp32
- name: UNet
metafile: configs/unet/unet.yml
model_configs:
- configs/unet/fcn_unet_s5-d16_4x4_512x1024_160k_cityscapes.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_pplnn_dynamic_fp32
- *pipeline_openvino_dynamic_fp32
- name: ANN
metafile: configs/ann/ann.yml
model_configs:
- configs/ann/ann_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- name: APCNet
metafile: configs/apcnet/apcnet.yml
model_configs:
- configs/apcnet/apcnet_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- name: BiSeNetV1
metafile: configs/bisenetv1/bisenetv1.yml
model_configs:
- configs/bisenetv1/bisenetv1_r18-d32_4x4_1024x1024_160k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: BiSeNetV2
metafile: configs/bisenetv2/bisenetv2.yml
model_configs:
- configs/bisenetv2/bisenetv2_fcn_4x4_1024x1024_160k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: CGNet
metafile: configs/cgnet/cgnet.yml
model_configs:
- configs/cgnet/cgnet_512x1024_60k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: EMANet
metafile: configs/emanet/emanet.yml
model_configs:
- configs/emanet/emanet_r50-d8_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_openvino_dynamic_fp32
- name: EncNet
metafile: configs/encnet/encnet.yml
model_configs:
- configs/encnet/encnet_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_openvino_dynamic_fp32
- name: ERFNet
metafile: configs/erfnet/erfnet.yml
model_configs:
- configs/erfnet/erfnet_fcn_4x4_512x1024_160k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: FastFCN
metafile: configs/fastfcn/fastfcn.yml
model_configs:
- configs/fastfcn/fastfcn_r50-d32_jpu_aspp_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: GCNet
metafile: configs/gcnet/gcnet.yml
model_configs:
- configs/gcnet/gcnet_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- name: ICNet
metafile: configs/icnet/icnet.yml
model_configs:
- configs/icnet/icnet_r18-d8_832x832_80k_cityscapes.py
pipelines:
- *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- *pipeline_openvino_static_fp32
- name: ISANet
metafile: configs/isanet/isanet.yml
model_configs:
- configs/isanet/isanet_r50-d8_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_openvino_dynamic_fp32
- name: OCRNet
metafile: configs/ocrnet/ocrnet.yml
model_configs:
- configs/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: PointRend
metafile: configs/point_rend/point_rend.yml
model_configs:
- configs/point_rend/pointrend_r50_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_openvino_dynamic_fp32
- name: Semantic FPN
metafile: configs/sem_fpn/sem_fpn.yml
model_configs:
- configs/sem_fpn/fpn_r50_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: STDC
metafile: configs/stdc/stdc.yml
model_configs:
- configs/stdc/stdc1_in1k-pre_512x1024_80k_cityscapes.py
- configs/stdc/stdc2_in1k-pre_512x1024_80k_cityscapes.py
pipelines:
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_dynamic_fp16
- *pipeline_ncnn_static_fp32
- *pipeline_openvino_dynamic_fp32
- name: UPerNet
metafile: configs/upernet/upernet.yml
model_configs:
- configs/upernet/upernet_r50_512x1024_40k_cityscapes.py
pipelines:
- *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16