mmdeploy/tools/test.py

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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
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import os.path as osp
from copy import deepcopy
from mmcv import DictAction
[Refactor] Refactor codebase (#220) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * [Fix]: Fix bugs in details in refactor branch (#192) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * Fix errors * lint * resolve comments * fix bugs * conflict * lint and typo * Resolve comment * refactor mmseg (#201) * support mmseg * fix docstring * fix docstring * [Refactor]: Get the count of backend files (#202) * Fix backend files * resolve comments * lint * Fix ncnn * [Refactor]: Refactor folders of mmdet (#200) * Move folders * lint * test object detection model * lint * reset changes * fix openvino * resolve comments * __init__.py * Fix path * [Refactor]: move mmseg (#206) * [Refactor]: Refactor mmedit (#205) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * Fix wrong func_name of ConvFCBBoxHead (#209) * [Refactor]: Refactor mmdet unit test (#207) * Move folders * lint * test object detection model * lint * WIP * remove print * finish unit test * Fix tests * resolve comments * Add mask test * lint * resolve comments * Refine cfg file * Move files * add files * Fix path * [Unittest]: Refine the unit tests in mmdet #214 * [Refactor] refactor mmocr to mmdeploy/codebase (#213) * refactor mmocr to mmdeploy/codebase * fix docstring of show_result * fix docstring of visualize * refine docstring * replace print with logging * refince codes * resolve comments * resolve comments * [Refactor]: mmseg tests (#210) * refactor mmseg tests * rename test_codebase * update * add model.py * fix * [Refactor] Refactor mmcls and the package (#217) * refactor mmcls * fix yapf * fix isort * refactor-mmcls-package * fix print to logging * fix docstrings according to others comments * fix comments * fix comments * fix allentdans comment in pr215 * remove mmocr init * [Refactor] Refactor mmedit tests (#212) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * buff * edit test and code refactor * refactor dir * refactor tests/mmedit * fix docstring * add test coverage * fix lint * fix comment * fix comment * Update typehint (#216) * update type hint * update docstring * update * remove file * fix ppl * Refine get_predefined_partition_cfg * fix tensorrt version > 8 * move parse_cuda_device_id to device.py * Fix cascade * onnx2ncnn docstring Co-authored-by: Yifan Zhou <singlezombie@163.com> Co-authored-by: RunningLeon <maningsheng@sensetime.com> Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com> Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com> Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
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from mmdeploy.apis import build_task_processor
from mmdeploy.utils.config_utils import load_config
from mmdeploy.utils.timer import TimeCounter
def parse_args():
parser = argparse.ArgumentParser(
description='MMDeploy test (and eval) a backend.')
parser.add_argument('deploy_cfg', help='Deploy config path')
parser.add_argument('model_cfg', help='Model config path')
parser.add_argument(
'--model', type=str, nargs='+', help='Input model files.')
parser.add_argument(
'--device', help='device used for conversion', default='cpu')
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parser.add_argument(
'--work-dir',
default='./work_dir',
help='the directory to save the file containing evaluation metrics')
parser.add_argument(
'--cfg-options',
nargs='+',
action=DictAction,
help='override some settings in the used config, the key-value pair '
'in xxx=yyy format will be merged into config file. If the value to '
'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
'Note that the quotation marks are necessary and that no white space '
'is allowed.')
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parser.add_argument('--show', action='store_true', help='show results')
parser.add_argument(
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'--show-dir', help='directory where painted images will be saved')
parser.add_argument(
'--interval',
type=int,
default=1,
help='visualize per interval samples.')
parser.add_argument(
'--wait-time',
type=float,
default=2,
help='display time of every window. (second)')
parser.add_argument(
'--log2file',
type=str,
help='log evaluation results and speed to file',
default=None)
parser.add_argument(
'--speed-test', action='store_true', help='activate speed test')
parser.add_argument(
'--warmup',
type=int,
help='warmup before counting inference elapse, require setting '
'speed-test first',
default=10)
parser.add_argument(
'--log-interval',
type=int,
help='the interval between each log, require setting '
'speed-test first',
default=100)
args = parser.parse_args()
return args
def main():
args = parse_args()
deploy_cfg_path = args.deploy_cfg
model_cfg_path = args.model_cfg
# load deploy_cfg
[Feature] Refactor v1 (#56) * [Refactor] add enum class and use functions to get configuration (#40) * add task and codebase enum class * use funcitons to get config * Refactor wrappers of mmcls and mmseg (#41) * move wrappers of cls & det to apis * remove get_classes_from_config * rename onnx_helper to onnx_utils * move import to outside of class * refactor ortwrappers * Refactor build dataset and dataloader for mmseg (#44) * refactor build_dataset and build_dataloader for mmcls and mmseg * remove repeated classes * set build_dataloader with shuffle=False * [Refactor] pplwrapper and mmocr refactor (#46) * add * add pplwrapper and refactor mmocr * fix lint * remove unused arguments * apply dict input for pplwrapper and ortwrapper * add condition before import ppl and ort stuff * update ppl (#51) * Refactor return value and extract_model (#54) * remove ret_value * refactor extract_model * fix typo * resolve comments * [Refactor] Refactor model inference pipeline (#52) * move attribute_to_dict to extract_model * simplify the inference and visualization * remove unused import * [Feature] Support SRCNN in mmedit with ONNXRuntime and TensorRT (#45) * finish mmedit-ort * edit __init__ files * add noqa * add tensorrt support * 1. Rename "base.py" 2. Move srcnn.py to correct directory * fix bugs * remove figures * align to refactor-v1 * update comment in srcnn * fix lint * newfunc -> new_func * Add visualize.py split visualize() in each codebase * fix lint * fix lint * remove unnecessary code in ORTRestorer * remove .api * edit super(), remove dataset * [Refactor]: Change name of split to partition (#57) * refactor mmcls configs * refactor mmdet configs and split params * rename rest split to partition from master * remove base.py * fix init of inference class * fix mmocr init, add show_result alias Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com> Co-authored-by: RunningLeon <maningsheng@sensetime.com> Co-authored-by: Yifan Zhou <singlezombie@163.com>
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deploy_cfg, model_cfg = load_config(deploy_cfg_path, model_cfg_path)
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# work_dir is determined in this priority: CLI > segment in file > filename
if args.work_dir is not None:
# update configs according to CLI args if args.work_dir is not None
work_dir = args.work_dir
elif model_cfg.get('work_dir', None) is None:
# use config filename as default work_dir if cfg.work_dir is None
work_dir = osp.join('./work_dirs',
osp.splitext(osp.basename(args.config))[0])
# merge options for model cfg
if args.cfg_options is not None:
model_cfg.merge_from_dict(args.cfg_options)
[Refactor] Refactor codebase (#220) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * [Fix]: Fix bugs in details in refactor branch (#192) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * Fix errors * lint * resolve comments * fix bugs * conflict * lint and typo * Resolve comment * refactor mmseg (#201) * support mmseg * fix docstring * fix docstring * [Refactor]: Get the count of backend files (#202) * Fix backend files * resolve comments * lint * Fix ncnn * [Refactor]: Refactor folders of mmdet (#200) * Move folders * lint * test object detection model * lint * reset changes * fix openvino * resolve comments * __init__.py * Fix path * [Refactor]: move mmseg (#206) * [Refactor]: Refactor mmedit (#205) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * Fix wrong func_name of ConvFCBBoxHead (#209) * [Refactor]: Refactor mmdet unit test (#207) * Move folders * lint * test object detection model * lint * WIP * remove print * finish unit test * Fix tests * resolve comments * Add mask test * lint * resolve comments * Refine cfg file * Move files * add files * Fix path * [Unittest]: Refine the unit tests in mmdet #214 * [Refactor] refactor mmocr to mmdeploy/codebase (#213) * refactor mmocr to mmdeploy/codebase * fix docstring of show_result * fix docstring of visualize * refine docstring * replace print with logging * refince codes * resolve comments * resolve comments * [Refactor]: mmseg tests (#210) * refactor mmseg tests * rename test_codebase * update * add model.py * fix * [Refactor] Refactor mmcls and the package (#217) * refactor mmcls * fix yapf * fix isort * refactor-mmcls-package * fix print to logging * fix docstrings according to others comments * fix comments * fix comments * fix allentdans comment in pr215 * remove mmocr init * [Refactor] Refactor mmedit tests (#212) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * buff * edit test and code refactor * refactor dir * refactor tests/mmedit * fix docstring * add test coverage * fix lint * fix comment * fix comment * Update typehint (#216) * update type hint * update docstring * update * remove file * fix ppl * Refine get_predefined_partition_cfg * fix tensorrt version > 8 * move parse_cuda_device_id to device.py * Fix cascade * onnx2ncnn docstring Co-authored-by: Yifan Zhou <singlezombie@163.com> Co-authored-by: RunningLeon <maningsheng@sensetime.com> Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com> Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com> Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
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task_processor = build_task_processor(model_cfg, deploy_cfg, args.device)
# prepare the dataset loader
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test_dataloader = deepcopy(model_cfg['test_dataloader'])
dataset = task_processor.build_dataset(test_dataloader['dataset'])
test_dataloader['dataset'] = dataset
dataloader = task_processor.build_dataloader(test_dataloader)
# load the model of the backend
[Refactor] Refactor codebase (#220) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * [Fix]: Fix bugs in details in refactor branch (#192) * [WIP] Refactor v2.0 (#163) * Refactor backend wrapper * Refactor mmdet.inference * Fix * merge * refactor utils * Use deployer and deploy_model to manage pipeline * Resolve comments * Add a real inference api function * rename wrappers * Set execute to private method * Rename deployer deploy_model * Refactor task * remove type hint * lint * Resolve comments * resolve comments * lint * docstring * Fix errors * lint * resolve comments * fix bugs * conflict * lint and typo * Resolve comment * refactor mmseg (#201) * support mmseg * fix docstring * fix docstring * [Refactor]: Get the count of backend files (#202) * Fix backend files * resolve comments * lint * Fix ncnn * [Refactor]: Refactor folders of mmdet (#200) * Move folders * lint * test object detection model * lint * reset changes * fix openvino * resolve comments * __init__.py * Fix path * [Refactor]: move mmseg (#206) * [Refactor]: Refactor mmedit (#205) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * Fix wrong func_name of ConvFCBBoxHead (#209) * [Refactor]: Refactor mmdet unit test (#207) * Move folders * lint * test object detection model * lint * WIP * remove print * finish unit test * Fix tests * resolve comments * Add mask test * lint * resolve comments * Refine cfg file * Move files * add files * Fix path * [Unittest]: Refine the unit tests in mmdet #214 * [Refactor] refactor mmocr to mmdeploy/codebase (#213) * refactor mmocr to mmdeploy/codebase * fix docstring of show_result * fix docstring of visualize * refine docstring * replace print with logging * refince codes * resolve comments * resolve comments * [Refactor]: mmseg tests (#210) * refactor mmseg tests * rename test_codebase * update * add model.py * fix * [Refactor] Refactor mmcls and the package (#217) * refactor mmcls * fix yapf * fix isort * refactor-mmcls-package * fix print to logging * fix docstrings according to others comments * fix comments * fix comments * fix allentdans comment in pr215 * remove mmocr init * [Refactor] Refactor mmedit tests (#212) * feature mmedit * edit2.0 * edit * refactor mmedit * fix __init__.py * fix __init__ * fix formai * fix comment * fix comment * buff * edit test and code refactor * refactor dir * refactor tests/mmedit * fix docstring * add test coverage * fix lint * fix comment * fix comment * Update typehint (#216) * update type hint * update docstring * update * remove file * fix ppl * Refine get_predefined_partition_cfg * fix tensorrt version > 8 * move parse_cuda_device_id to device.py * Fix cascade * onnx2ncnn docstring Co-authored-by: Yifan Zhou <singlezombie@163.com> Co-authored-by: RunningLeon <maningsheng@sensetime.com> Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com> Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com> Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
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model = task_processor.init_backend_model(args.model)
is_device_cpu = (args.device == 'cpu')
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runner = task_processor.build_test_runner(
model,
work_dir,
log_file=args.log2file,
show=args.show,
show_dir=args.show_dir,
wait_time=args.wait_time,
interval=args.interval,
dataloader=dataloader)
if args.speed_test:
with_sync = not is_device_cpu
with TimeCounter.activate(
warmup=args.warmup,
log_interval=args.log_interval,
with_sync=with_sync,
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file=args.log2file,
logger=runner.logger):
runner.test()
else:
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runner.test()
if __name__ == '__main__':
main()