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mmdeploy/tests/regression/mmcls.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: ../mmclassification
checkpoint_force_download: False
images:
img_snake: &img_snake ../mmclassification/demo/demo.JPEG
img_bird: &img_bird ../mmclassification/demo/bird.JPEG
img_cat_dog: &img_cat_dog ../mmclassification/demo/cat-dog.png
img_dog: &img_dog ../mmclassification/demo/dog.jpg
img_color_cat: &img_color_cat ../mmclassification/tests/data/color.jpg
img_gray_cat: &img_gray_cat ../mmclassification/tests/data/gray.jpg
metric_info: &metric_info
Top 1 Accuracy: # named after metafile.Results.Metrics
eval_name: accuracy # test.py --metrics args
metric_key: accuracy_top-1 # eval Dict key name
tolerance: 1 # metric ±n%
task_name: Image Classification # metafile.Results.Task
dataset: ImageNet-1k # metafile.Results.Dataset
Top 5 Accuracy:
eval_name: accuracy
metric_key: accuracy_top-5
tolerance: 1 # metric ±n%
task_name: Image Classification
dataset: ImageNet-1k
convert_image: &convert_image
input_img: *img_snake
test_img: *img_color_cat
backend_test: &default_backend_test True
sdk:
sdk_dynamic: &sdk_dynamic configs/mmcls/classification_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/mmcls/classification_onnxruntime_static.py
pipeline_ort_dynamic_fp32: &pipeline_ort_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmcls/classification_onnxruntime_dynamic.py
tensorrt:
pipeline_trt_static_fp32: &pipeline_trt_static_fp32
convert_image: *convert_image
backend_test: *default_backend_test
deploy_config: configs/mmcls/classification_tensorrt_static-224x224.py
pipeline_trt_static_fp16: &pipeline_trt_static_fp16
convert_image: *convert_image
backend_test: *default_backend_test
deploy_config: configs/mmcls/classification_tensorrt-fp16_static-224x224.py
update docs (#624)
2022-06-29 10:15:48 +08:00
pipeline_trt_static_fp16_384x384: &pipeline_trt_static_fp16_384x384
convert_image: *convert_image
backend_test: *default_backend_test
deploy_config: configs/mmcls/classification_tensorrt-fp16_static-384x384.py
[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
pipeline_trt_static_int8: &pipeline_trt_static_int8
convert_image: *convert_image
backend_test: *default_backend_test
deploy_config: configs/mmcls/classification_tensorrt-int8_static-224x224.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/mmcls/classification_tensorrt_dynamic-224x224-224x224.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/mmcls/classification_tensorrt-fp16_dynamic-224x224-224x224.py
pipeline_trt_dynamic_int8: &pipeline_trt_dynamic_int8
convert_image: *convert_image
calib_dataset_cfg:
backend_test: *default_backend_test
sdk_config: *sdk_dynamic
deploy_config: configs/mmcls/classification_tensorrt-int8_dynamic-224x224-224x224.py
openvino:
pipeline_openvino_dynamic_fp32: &pipeline_openvino_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmcls/classification_openvino_dynamic-224x224.py
ncnn:
pipeline_ncnn_static_fp32: &pipeline_ncnn_static_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmcls/classification_ncnn_static.py
pipeline_ncnn_dynamic_fp32: &pipeline_ncnn_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmcls/classification_ncnn_dynamic.py
pplnn:
pipeline_pplnn_dynamic_fp32: &pipeline_pplnn_dynamic_fp32
convert_image: *convert_image
backend_test: False
deploy_config: configs/mmcls/classification_pplnn_dynamic-224x224.py
torchscript:
pipeline_ts_fp32: &pipeline_ts_fp32
convert_image: *convert_image
update docs (#624)
2022-06-29 10:15:48 +08:00
backend_test: True
[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
deploy_config: configs/mmcls/classification_torchscript.py
models:
- name: ResNet
metafile: configs/resnet/metafile.yml
model_configs:
- configs/resnet/resnet18_8xb32_in1k.py # TODO Not benchmark config
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: ResNeXt
metafile: configs/resnext/metafile.yml
model_configs:
- configs/resnext/resnext50-32x4d_8xb32_in1k.py # TODO Not benchmark config
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: SE-ResNet
metafile: configs/seresnet/metafile.yml
model_configs:
- configs/seresnet/seresnet50_8xb32_in1k.py # TODO Not benchmark config
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: MobileNetV2
metafile: configs/mobilenet_v2/metafile.yml
model_configs:
- configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.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: ShuffleNetV1
metafile: configs/shufflenet_v1/metafile.yml
model_configs:
- configs/shufflenet_v1/shufflenet-v1-1x_16xb64_in1k.py
pipelines:
- *pipeline_ts_fp32
# - *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- *pipeline_ncnn_static_fp32
# - *pipeline_pplnn_dynamic_fp32
# - *pipeline_openvino_dynamic_fp32
- name: ShuffleNetV2
metafile: configs/shufflenet_v2/metafile.yml
model_configs:
- configs/shufflenet_v2/shufflenet-v2-1x_16xb64_in1k.py
pipelines:
- *pipeline_ts_fp32
# - *pipeline_ort_static_fp32
- *pipeline_trt_static_fp16
- *pipeline_ncnn_static_fp32
# - *pipeline_pplnn_dynamic_fp32
# - *pipeline_openvino_dynamic_fp32
update docs (#624)
2022-06-29 10:15:48 +08:00
- name: VisionTransformer
metafile: configs/vision_transformer/metafile.yml
model_configs:
- configs/vision_transformer/vit-base-p16_ft-64xb64_in1k-384.py
pipelines:
- *pipeline_ts_fp32
- *pipeline_ort_dynamic_fp32
- *pipeline_trt_static_fp16_384x384
- *pipeline_ncnn_static_fp32