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[Enhance]: Update speed benchmark tools (#5265)

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* add calc fps file

* update fps file

* update test benchmark

* update segm_mAP

* update benchmark

* update

* update and add times per image outputs
pull/5418/head^2
Haian Huang(深度眸) 3 years ago committed by GitHub
parent 5ec72728a4
commit 0e09f00a5b
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GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 235 additions and 110 deletions
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  1. 42
      .dev_scripts/batch_test_list.py
  2. 93
      .dev_scripts/benchmark_inference_fps.py
  3. 20
      .dev_scripts/convert_test_benchmark_script.py
  4. 115
      .dev_scripts/test_benchamrk.sh
  5. 75
      tools/analysis_tools/benchmark.py

42
.dev_scripts/batch_test_list.py
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@ -27,8 +27,8 @@ cascade_rcnn = [
dict(
config='configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py',
checkpoint='cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth',
eval='bbox',
metric=dict(bbox_mAP=41.2),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=41.2, segm_mAP=35.9),
),
]
cascade_rpn = dict(
@ -64,8 +64,8 @@ deformable_detr = dict(
detectors = dict(
config='configs/detectors/detectors_htc_r50_1x_coco.py',
checkpoint='detectors_htc_r50_1x_coco-329b1453.pth',
eval='bbox',
metric=dict(bbox_mAP=49.1),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=49.1, segm_mAP=42.6),
)
detr = dict(
config='configs/detr/detr_r50_8x2_150e_coco.py',
@ -124,8 +124,8 @@ fsaf = dict(
gcnet = dict(
config='configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py', # noqa
checkpoint='mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco_20200202-587b99aa.pth', # noqa
eval='bbox',
metric=dict(bbox_mAP=40.4),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=40.4, segm_mAP=36.2),
)
gfl = dict(
config='configs/gfl/gfl_r50_fpn_1x_coco.py',
@ -136,8 +136,8 @@ gfl = dict(
gn = dict(
config='configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py',
checkpoint='mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth',
eval='bbox',
metric=dict(bbox_mAP=40.1),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=40.1, segm_mAP=36.4),
)
gn_ws = dict(
config='configs/gn+ws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py',
@ -180,8 +180,8 @@ hrnet = dict(
htc = dict(
config='configs/htc/htc_r50_fpn_1x_coco.py',
checkpoint='htc_r50_fpn_1x_coco_20200317-7332cf16.pth',
eval='bbox',
metric=dict(bbox_mAP=42.3),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=42.3, segm_mAP=37.4),
)
libra_rcnn = dict(
config='configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x_coco.py',
@ -192,14 +192,14 @@ libra_rcnn = dict(
mask_rcnn = dict(
config='configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py',
checkpoint='mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth',
eval='bbox',
metric=dict(bbox_mAP=38.2),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=38.2, segm_mAP=34.7),
)
ms_rcnn = dict(
config='configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py',
checkpoint='ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth',
eval='bbox',
metric=dict(bbox_mAP=38.2),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=38.2, segm_mAP=36.0),
)
nas_fcos = dict(
config='configs/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py', # noqa
@ -234,14 +234,14 @@ pisa = dict(
point_rend = dict(
config='configs/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco.py',
checkpoint='point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth',
eval='bbox',
metric=dict(bbox_mAP=38.4),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=38.4, segm_mAP=36.3),
)
regnet = dict(
config='configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py',
checkpoint='mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth', # noqa
eval='bbox',
metric=dict(bbox_mAP=40.4),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=40.4, segm_mAP=36.7),
)
reppoints = dict(
config='configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py',
@ -320,8 +320,8 @@ vfnet = dict(
yolact = dict(
config='configs/yolact/yolact_r50_1x8_coco.py',
checkpoint='yolact_r50_1x8_coco_20200908-f38d58df.pth',
eval='bbox',
metric=dict(bbox_mAP=31.2),
eval=['bbox', 'segm'],
metric=dict(bbox_mAP=31.2, segm_mAP=29.0),
)
yolo = dict(
config='configs/yolo/yolov3_d53_320_273e_coco.py',
@ -337,7 +337,7 @@ yolof = dict(
)
centernet = dict(
config='configs/centernet/centernet_resnet18_dcnv2_140e_coco.py',
checkpoint='centernet_resnet18_dcnv2_140e_coco_20210520_101209-da388ba2.pth', # noqa
checkpoint='centernet_resnet18_dcnv2_140e_coco_20210520_101209-da388ba2.pth', # noqa
eval='bbox',
metric=dict(bbox_mAP=29.5),
)

93
.dev_scripts/benchmark_inference_fps.py
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@ -0,0 +1,93 @@
import argparse
import os
import os.path as osp
import mmcv
from mmcv import Config, DictAction
from mmcv.runner import init_dist
from tools.analysis_tools.benchmark import measure_inferense_speed
def parse_args():
parser = argparse.ArgumentParser(
description='MMDet benchmark a model of FPS')
parser.add_argument('config', help='test config file path')
parser.add_argument('checkpoint_root', help='Checkpoint file root path')
parser.add_argument(
'--round-num',
type=int,
default=1,
help='round a number to a given precision in decimal digits')
parser.add_argument(
'--out', type=str, help='output path of gathered fps to be stored')
parser.add_argument(
'--max-iter', type=int, default=400, help='num of max iter')
parser.add_argument(
'--log-interval', type=int, default=40, help='interval of logging')
parser.add_argument(
'--fuse-conv-bn',
action='store_true',
help='Whether to fuse conv and bn, this will slightly increase'
'the inference speed')
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.')
parser.add_argument(
'--launcher',
choices=['none', 'pytorch', 'slurm', 'mpi'],
default='none',
help='job launcher')
parser.add_argument('--local_rank', type=int, default=0)
args = parser.parse_args()
if 'LOCAL_RANK' not in os.environ:
os.environ['LOCAL_RANK'] = str(args.local_rank)
return args
if __name__ == '__main__':
args = parse_args()
assert args.round_num >= 0
config = Config.fromfile(args.config)
if args.launcher == 'none':
raise NotImplementedError('Only supports distributed mode')
else:
init_dist(args.launcher)
result_dict = {}
for model_key in config:
model_infos = config[model_key]
if not isinstance(model_infos, list):
model_infos = [model_infos]
for model_info in model_infos:
record_metrics = model_info['metric']
cfg_path = model_info['config'].strip()
cfg = Config.fromfile(cfg_path)
checkpoint = osp.join(args.checkpoint_root,
model_info['checkpoint'].strip())
try:
fps = measure_inferense_speed(cfg, checkpoint, args.max_iter,
args.log_interval,
args.fuse_conv_bn)
print(
f'{cfg_path} fps : {fps:.{args.round_num}f} img / s, '
f'times per image: {1000/fps:.{args.round_num}f} ms / img',
flush=True)
result_dict[cfg_path] = dict(
fps=round(fps, args.round_num),
ms_times_pre_image=round(1000 / fps, args.round_num))
except Exception as e:
print(f'{config} error: {repr(e)}')
result_dict[cfg_path] = 0
if args.out:
mmcv.mkdir_or_exist(args.out)
mmcv.dump(result_dict, osp.join(args.out, 'batch_inference_fps.json'))

20
.dev_scripts/convert_test_benchmark_script.py
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@ -9,11 +9,6 @@ def parse_args():
parser = argparse.ArgumentParser(
description='Convert benchmark model list to script')
parser.add_argument('config', help='test config file path')
parser.add_argument(
'--partition',
type=str,
default='openmmlab',
help='slurm partition name')
parser.add_argument('--port', type=int, default=29666, help='dist port')
parser.add_argument(
'--work-dir',
@ -34,7 +29,11 @@ def process_model_info(model_info, work_dir):
job_name = fname
work_dir = osp.join(work_dir, fname)
checkpoint = model_info['checkpoint'].strip()
eval = model_info['eval'].strip()
if not isinstance(model_info['eval'], list):
evals = [model_info['eval']]
else:
evals = model_info['eval']
eval = ' '.join(evals)
return dict(
config=config,
job_name=job_name,
@ -82,12 +81,15 @@ def main():
'script) with the argument "--out" or "--run"')
commands = []
checkpoint_root = 'CHECKPOINT_DIR=$1 '
partition_name = 'PARTITION=$1 '
commands.append(partition_name)
commands.append('\n')
checkpoint_root = 'CHECKPOINT_DIR=$2 '
commands.append(checkpoint_root)
commands.append('\n')
script_name = osp.join('tools', 'slurm_test.sh')
partition = args.partition # cluster name
port = args.port
work_dir = args.work_dir
@ -101,7 +103,7 @@ def main():
print('processing: ', model_info['config'])
model_test_dict = process_model_info(model_info, work_dir)
create_test_bash_info(commands, model_test_dict, port, script_name,
partition)
'$PARTITION')
port += 1
command_str = ''.join(commands)

115
.dev_scripts/test_benchamrk.sh
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@ -1,114 +1,115 @@
CHECKPOINT_DIR=$1
PARTITION=$1
CHECKPOINT_DIR=$2
echo 'configs/atss/atss_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab atss_r50_fpn_1x_coco configs/atss/atss_r50_fpn_1x_coco.py $CHECKPOINT_DIR/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth --work-dir tools/batch_test/atss_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29666 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION atss_r50_fpn_1x_coco configs/atss/atss_r50_fpn_1x_coco.py $CHECKPOINT_DIR/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth --work-dir tools/batch_test/atss_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29666 &
echo 'configs/autoassign/autoassign_r50_fpn_8x2_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab autoassign_r50_fpn_8x2_1x_coco configs/autoassign/autoassign_r50_fpn_8x2_1x_coco.py $CHECKPOINT_DIR/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth --work-dir tools/batch_test/autoassign_r50_fpn_8x2_1x_coco --eval bbox --cfg-option dist_params.port=29667 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION autoassign_r50_fpn_8x2_1x_coco configs/autoassign/autoassign_r50_fpn_8x2_1x_coco.py $CHECKPOINT_DIR/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth --work-dir tools/batch_test/autoassign_r50_fpn_8x2_1x_coco --eval bbox --cfg-option dist_params.port=29667 &
echo 'configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_carafe_1x_coco configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_carafe_1x_coco --eval bbox --cfg-option dist_params.port=29668 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_carafe_1x_coco configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_carafe_1x_coco --eval bbox --cfg-option dist_params.port=29668 &
echo 'configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab cascade_rcnn_r50_fpn_1x_coco configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/cascade_rcnn_r50_fpn_1x_coco_20200316-3dc56deb.pth --work-dir tools/batch_test/cascade_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29669 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION cascade_rcnn_r50_fpn_1x_coco configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/cascade_rcnn_r50_fpn_1x_coco_20200316-3dc56deb.pth --work-dir tools/batch_test/cascade_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29669 &
echo 'configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab cascade_mask_rcnn_r50_fpn_1x_coco configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth --work-dir tools/batch_test/cascade_mask_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29670 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION cascade_mask_rcnn_r50_fpn_1x_coco configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth --work-dir tools/batch_test/cascade_mask_rcnn_r50_fpn_1x_coco --eval bbox segm --cfg-option dist_params.port=29670 &
echo 'configs/cascade_rpn/crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab crpn_faster_rcnn_r50_caffe_fpn_1x_coco configs/cascade_rpn/crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/crpn_faster_rcnn_r50_caffe_fpn_1x_coco-c8283cca.pth --work-dir tools/batch_test/crpn_faster_rcnn_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29671 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION crpn_faster_rcnn_r50_caffe_fpn_1x_coco configs/cascade_rpn/crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/crpn_faster_rcnn_r50_caffe_fpn_1x_coco-c8283cca.pth --work-dir tools/batch_test/crpn_faster_rcnn_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29671 &
echo 'configs/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab centripetalnet_hourglass104_mstest_16x6_210e_coco configs/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py $CHECKPOINT_DIR/centripetalnet_hourglass104_mstest_16x6_210e_coco_20200915_204804-3ccc61e5.pth --work-dir tools/batch_test/centripetalnet_hourglass104_mstest_16x6_210e_coco --eval bbox --cfg-option dist_params.port=29672 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION centripetalnet_hourglass104_mstest_16x6_210e_coco configs/centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py $CHECKPOINT_DIR/centripetalnet_hourglass104_mstest_16x6_210e_coco_20200915_204804-3ccc61e5.pth --work-dir tools/batch_test/centripetalnet_hourglass104_mstest_16x6_210e_coco --eval bbox --cfg-option dist_params.port=29672 &
echo 'configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab cornernet_hourglass104_mstest_8x6_210e_coco configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py $CHECKPOINT_DIR/cornernet_hourglass104_mstest_10x5_210e_coco_20200824_185720-5fefbf1c.pth --work-dir tools/batch_test/cornernet_hourglass104_mstest_8x6_210e_coco --eval bbox --cfg-option dist_params.port=29673 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION cornernet_hourglass104_mstest_8x6_210e_coco configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py $CHECKPOINT_DIR/cornernet_hourglass104_mstest_10x5_210e_coco_20200824_185720-5fefbf1c.pth --work-dir tools/batch_test/cornernet_hourglass104_mstest_8x6_210e_coco --eval bbox --cfg-option dist_params.port=29673 &
echo 'configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco_20200130-d68aed1e.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco --eval bbox --cfg-option dist_params.port=29674 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco configs/dcn/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco_20200130-d68aed1e.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_dconv_c3-c5_1x_coco --eval bbox --cfg-option dist_params.port=29674 &
echo 'configs/deformable_detr/deformable_detr_r50_16x2_50e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab deformable_detr_r50_16x2_50e_coco configs/deformable_detr/deformable_detr_r50_16x2_50e_coco.py $CHECKPOINT_DIR/deformable_detr_r50_16x2_50e_coco_20210419_220030-a12b9512.pth --work-dir tools/batch_test/deformable_detr_r50_16x2_50e_coco --eval bbox --cfg-option dist_params.port=29675 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION deformable_detr_r50_16x2_50e_coco configs/deformable_detr/deformable_detr_r50_16x2_50e_coco.py $CHECKPOINT_DIR/deformable_detr_r50_16x2_50e_coco_20210419_220030-a12b9512.pth --work-dir tools/batch_test/deformable_detr_r50_16x2_50e_coco --eval bbox --cfg-option dist_params.port=29675 &
echo 'configs/detectors/detectors_htc_r50_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab detectors_htc_r50_1x_coco configs/detectors/detectors_htc_r50_1x_coco.py $CHECKPOINT_DIR/detectors_htc_r50_1x_coco-329b1453.pth --work-dir tools/batch_test/detectors_htc_r50_1x_coco --eval bbox --cfg-option dist_params.port=29676 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION detectors_htc_r50_1x_coco configs/detectors/detectors_htc_r50_1x_coco.py $CHECKPOINT_DIR/detectors_htc_r50_1x_coco-329b1453.pth --work-dir tools/batch_test/detectors_htc_r50_1x_coco --eval bbox segm --cfg-option dist_params.port=29676 &
echo 'configs/detr/detr_r50_8x2_150e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab detr_r50_8x2_150e_coco configs/detr/detr_r50_8x2_150e_coco.py $CHECKPOINT_DIR/detr_r50_8x2_150e_coco_20201130_194835-2c4b8974.pth --work-dir tools/batch_test/detr_r50_8x2_150e_coco --eval bbox --cfg-option dist_params.port=29677 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION detr_r50_8x2_150e_coco configs/detr/detr_r50_8x2_150e_coco.py $CHECKPOINT_DIR/detr_r50_8x2_150e_coco_20201130_194835-2c4b8974.pth --work-dir tools/batch_test/detr_r50_8x2_150e_coco --eval bbox --cfg-option dist_params.port=29677 &
echo 'configs/double_heads/dh_faster_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab dh_faster_rcnn_r50_fpn_1x_coco configs/double_heads/dh_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth --work-dir tools/batch_test/dh_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29678 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION dh_faster_rcnn_r50_fpn_1x_coco configs/double_heads/dh_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth --work-dir tools/batch_test/dh_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29678 &
echo 'configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab dynamic_rcnn_r50_fpn_1x_coco configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/dynamic_rcnn_r50_fpn_1x-62a3f276.pth --work-dir tools/batch_test/dynamic_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29679 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION dynamic_rcnn_r50_fpn_1x_coco configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/dynamic_rcnn_r50_fpn_1x-62a3f276.pth --work-dir tools/batch_test/dynamic_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29679 &
echo 'configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_attention_1111_1x_coco configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_attention_1111_1x_coco_20200130-403cccba.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_attention_1111_1x_coco --eval bbox --cfg-option dist_params.port=29680 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_attention_1111_1x_coco configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_attention_1111_1x_coco_20200130-403cccba.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_attention_1111_1x_coco --eval bbox --cfg-option dist_params.port=29680 &
echo 'configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_1x_coco configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29681 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_1x_coco configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29681 &
echo 'configs/fcos/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco configs/fcos/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco.py $CHECKPOINT_DIR/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco-0a0d75a8.pth --work-dir tools/batch_test/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco --eval bbox --cfg-option dist_params.port=29682 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco configs/fcos/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco.py $CHECKPOINT_DIR/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco-0a0d75a8.pth --work-dir tools/batch_test/fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_1x_coco --eval bbox --cfg-option dist_params.port=29682 &
echo 'configs/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab fovea_align_r50_fpn_gn-head_4x4_2x_coco configs/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco.py $CHECKPOINT_DIR/fovea_align_r50_fpn_gn-head_4x4_2x_coco_20200203-8987880d.pth --work-dir tools/batch_test/fovea_align_r50_fpn_gn-head_4x4_2x_coco --eval bbox --cfg-option dist_params.port=29683 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION fovea_align_r50_fpn_gn-head_4x4_2x_coco configs/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco.py $CHECKPOINT_DIR/fovea_align_r50_fpn_gn-head_4x4_2x_coco_20200203-8987880d.pth --work-dir tools/batch_test/fovea_align_r50_fpn_gn-head_4x4_2x_coco --eval bbox --cfg-option dist_params.port=29683 &
echo 'configs/free_anchor/retinanet_free_anchor_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab retinanet_free_anchor_r50_fpn_1x_coco configs/free_anchor/retinanet_free_anchor_r50_fpn_1x_coco.py $CHECKPOINT_DIR/retinanet_free_anchor_r50_fpn_1x_coco_20200130-0f67375f.pth --work-dir tools/batch_test/retinanet_free_anchor_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29684 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION retinanet_free_anchor_r50_fpn_1x_coco configs/free_anchor/retinanet_free_anchor_r50_fpn_1x_coco.py $CHECKPOINT_DIR/retinanet_free_anchor_r50_fpn_1x_coco_20200130-0f67375f.pth --work-dir tools/batch_test/retinanet_free_anchor_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29684 &
echo 'configs/fsaf/fsaf_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab fsaf_r50_fpn_1x_coco configs/fsaf/fsaf_r50_fpn_1x_coco.py $CHECKPOINT_DIR/fsaf_r50_fpn_1x_coco-94ccc51f.pth --work-dir tools/batch_test/fsaf_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29685 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION fsaf_r50_fpn_1x_coco configs/fsaf/fsaf_r50_fpn_1x_coco.py $CHECKPOINT_DIR/fsaf_r50_fpn_1x_coco-94ccc51f.pth --work-dir tools/batch_test/fsaf_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29685 &
echo 'configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco_20200202-587b99aa.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco --eval bbox --cfg-option dist_params.port=29686 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco configs/gcnet/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco_20200202-587b99aa.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_syncbn-backbone_r16_gcb_c3-c5_1x_coco --eval bbox segm --cfg-option dist_params.port=29686 &
echo 'configs/gfl/gfl_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab gfl_r50_fpn_1x_coco configs/gfl/gfl_r50_fpn_1x_coco.py $CHECKPOINT_DIR/gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth --work-dir tools/batch_test/gfl_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29687 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION gfl_r50_fpn_1x_coco configs/gfl/gfl_r50_fpn_1x_coco.py $CHECKPOINT_DIR/gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth --work-dir tools/batch_test/gfl_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29687 &
echo 'configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab mask_rcnn_r50_fpn_gn-all_2x_coco configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_gn-all_2x_coco --eval bbox --cfg-option dist_params.port=29688 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION mask_rcnn_r50_fpn_gn-all_2x_coco configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_gn-all_2x_coco --eval bbox segm --cfg-option dist_params.port=29688 &
echo 'configs/gn+ws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_gn_ws-all_1x_coco configs/gn+ws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_gn_ws-all_1x_coco_20200130-613d9fe2.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_gn_ws-all_1x_coco --eval bbox --cfg-option dist_params.port=29689 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_gn_ws-all_1x_coco configs/gn+ws/faster_rcnn_r50_fpn_gn_ws-all_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_gn_ws-all_1x_coco_20200130-613d9fe2.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_gn_ws-all_1x_coco --eval bbox --cfg-option dist_params.port=29689 &
echo 'configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab grid_rcnn_r50_fpn_gn-head_2x_coco configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py $CHECKPOINT_DIR/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth --work-dir tools/batch_test/grid_rcnn_r50_fpn_gn-head_2x_coco --eval bbox --cfg-option dist_params.port=29690 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION grid_rcnn_r50_fpn_gn-head_2x_coco configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py $CHECKPOINT_DIR/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth --work-dir tools/batch_test/grid_rcnn_r50_fpn_gn-head_2x_coco --eval bbox --cfg-option dist_params.port=29690 &
echo 'configs/groie/faster_rcnn_r50_fpn_groie_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_fpn_groie_1x_coco configs/groie/faster_rcnn_r50_fpn_groie_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_groie_1x_coco --eval bbox --cfg-option dist_params.port=29691 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_fpn_groie_1x_coco configs/groie/faster_rcnn_r50_fpn_groie_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth --work-dir tools/batch_test/faster_rcnn_r50_fpn_groie_1x_coco --eval bbox --cfg-option dist_params.port=29691 &
echo 'configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab ga_retinanet_r50_caffe_fpn_1x_coco configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth --work-dir tools/batch_test/ga_retinanet_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29692 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION ga_retinanet_r50_caffe_fpn_1x_coco configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ga_retinanet_r50_caffe_fpn_1x_coco_20201020-39581c6f.pth --work-dir tools/batch_test/ga_retinanet_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29692 &
echo 'configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab ga_faster_r50_caffe_fpn_1x_coco configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ga_faster_r50_caffe_fpn_1x_coco_20200702_000718-a11ccfe6.pth --work-dir tools/batch_test/ga_faster_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29693 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION ga_faster_r50_caffe_fpn_1x_coco configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ga_faster_r50_caffe_fpn_1x_coco_20200702_000718-a11ccfe6.pth --work-dir tools/batch_test/ga_faster_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29693 &
echo 'configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_hrnetv2p_w18_1x_coco configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_hrnetv2p_w18_1x_coco_20200130-56651a6d.pth --work-dir tools/batch_test/faster_rcnn_hrnetv2p_w18_1x_coco --eval bbox --cfg-option dist_params.port=29694 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_hrnetv2p_w18_1x_coco configs/hrnet/faster_rcnn_hrnetv2p_w18_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_hrnetv2p_w18_1x_coco_20200130-56651a6d.pth --work-dir tools/batch_test/faster_rcnn_hrnetv2p_w18_1x_coco --eval bbox --cfg-option dist_params.port=29694 &
echo 'configs/htc/htc_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab htc_r50_fpn_1x_coco configs/htc/htc_r50_fpn_1x_coco.py $CHECKPOINT_DIR/htc_r50_fpn_1x_coco_20200317-7332cf16.pth --work-dir tools/batch_test/htc_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29695 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION htc_r50_fpn_1x_coco configs/htc/htc_r50_fpn_1x_coco.py $CHECKPOINT_DIR/htc_r50_fpn_1x_coco_20200317-7332cf16.pth --work-dir tools/batch_test/htc_r50_fpn_1x_coco --eval bbox segm --cfg-option dist_params.port=29695 &
echo 'configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab libra_faster_rcnn_r50_fpn_1x_coco configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/libra_faster_rcnn_r50_fpn_1x_coco_20200130-3afee3a9.pth --work-dir tools/batch_test/libra_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29696 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION libra_faster_rcnn_r50_fpn_1x_coco configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/libra_faster_rcnn_r50_fpn_1x_coco_20200130-3afee3a9.pth --work-dir tools/batch_test/libra_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29696 &
echo 'configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab mask_rcnn_r50_fpn_1x_coco configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29697 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION mask_rcnn_r50_fpn_1x_coco configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth --work-dir tools/batch_test/mask_rcnn_r50_fpn_1x_coco --eval bbox segm --cfg-option dist_params.port=29697 &
echo 'configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab ms_rcnn_r50_caffe_fpn_1x_coco configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth --work-dir tools/batch_test/ms_rcnn_r50_caffe_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29698 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION ms_rcnn_r50_caffe_fpn_1x_coco configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py $CHECKPOINT_DIR/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth --work-dir tools/batch_test/ms_rcnn_r50_caffe_fpn_1x_coco --eval bbox segm --cfg-option dist_params.port=29698 &
echo 'configs/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco configs/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py $CHECKPOINT_DIR/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200520-1bdba3ce.pth --work-dir tools/batch_test/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco --eval bbox --cfg-option dist_params.port=29699 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco configs/nas_fcos/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py $CHECKPOINT_DIR/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco_20200520-1bdba3ce.pth --work-dir tools/batch_test/nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco --eval bbox --cfg-option dist_params.port=29699 &
echo 'configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab retinanet_r50_nasfpn_crop640_50e_coco configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py $CHECKPOINT_DIR/retinanet_r50_nasfpn_crop640_50e_coco-0ad1f644.pth --work-dir tools/batch_test/retinanet_r50_nasfpn_crop640_50e_coco --eval bbox --cfg-option dist_params.port=29700 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION retinanet_r50_nasfpn_crop640_50e_coco configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py $CHECKPOINT_DIR/retinanet_r50_nasfpn_crop640_50e_coco-0ad1f644.pth --work-dir tools/batch_test/retinanet_r50_nasfpn_crop640_50e_coco --eval bbox --cfg-option dist_params.port=29700 &
echo 'configs/paa/paa_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab paa_r50_fpn_1x_coco configs/paa/paa_r50_fpn_1x_coco.py $CHECKPOINT_DIR/paa_r50_fpn_1x_coco_20200821-936edec3.pth --work-dir tools/batch_test/paa_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29701 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION paa_r50_fpn_1x_coco configs/paa/paa_r50_fpn_1x_coco.py $CHECKPOINT_DIR/paa_r50_fpn_1x_coco_20200821-936edec3.pth --work-dir tools/batch_test/paa_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29701 &
echo 'configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r50_pafpn_1x_coco configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth --work-dir tools/batch_test/faster_rcnn_r50_pafpn_1x_coco --eval bbox --cfg-option dist_params.port=29702 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r50_pafpn_1x_coco configs/pafpn/faster_rcnn_r50_pafpn_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth --work-dir tools/batch_test/faster_rcnn_r50_pafpn_1x_coco --eval bbox --cfg-option dist_params.port=29702 &
echo 'configs/pisa/pisa_faster_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab pisa_faster_rcnn_r50_fpn_1x_coco configs/pisa/pisa_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/pisa_faster_rcnn_r50_fpn_1x_coco-dea93523.pth --work-dir tools/batch_test/pisa_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29703 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION pisa_faster_rcnn_r50_fpn_1x_coco configs/pisa/pisa_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/pisa_faster_rcnn_r50_fpn_1x_coco-dea93523.pth --work-dir tools/batch_test/pisa_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29703 &
echo 'configs/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab point_rend_r50_caffe_fpn_mstrain_1x_coco configs/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco.py $CHECKPOINT_DIR/point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth --work-dir tools/batch_test/point_rend_r50_caffe_fpn_mstrain_1x_coco --eval bbox --cfg-option dist_params.port=29704 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION point_rend_r50_caffe_fpn_mstrain_1x_coco configs/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco.py $CHECKPOINT_DIR/point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth --work-dir tools/batch_test/point_rend_r50_caffe_fpn_mstrain_1x_coco --eval bbox segm --cfg-option dist_params.port=29704 &
echo 'configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab mask_rcnn_regnetx-3.2GF_fpn_1x_coco configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth --work-dir tools/batch_test/mask_rcnn_regnetx-3.2GF_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29705 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION mask_rcnn_regnetx-3.2GF_fpn_1x_coco configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py $CHECKPOINT_DIR/mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth --work-dir tools/batch_test/mask_rcnn_regnetx-3.2GF_fpn_1x_coco --eval bbox segm --cfg-option dist_params.port=29705 &
echo 'configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab reppoints_moment_r50_fpn_1x_coco configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py $CHECKPOINT_DIR/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth --work-dir tools/batch_test/reppoints_moment_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29706 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION reppoints_moment_r50_fpn_1x_coco configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py $CHECKPOINT_DIR/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth --work-dir tools/batch_test/reppoints_moment_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29706 &
echo 'configs/res2net/faster_rcnn_r2_101_fpn_2x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_r2_101_fpn_2x_coco configs/res2net/faster_rcnn_r2_101_fpn_2x_coco.py $CHECKPOINT_DIR/faster_rcnn_r2_101_fpn_2x_coco-175f1da6.pth --work-dir tools/batch_test/faster_rcnn_r2_101_fpn_2x_coco --eval bbox --cfg-option dist_params.port=29707 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_r2_101_fpn_2x_coco configs/res2net/faster_rcnn_r2_101_fpn_2x_coco.py $CHECKPOINT_DIR/faster_rcnn_r2_101_fpn_2x_coco-175f1da6.pth --work-dir tools/batch_test/faster_rcnn_r2_101_fpn_2x_coco --eval bbox --cfg-option dist_params.port=29707 &
echo 'configs/resnest/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco configs/resnest/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco_20200926_125502-20289c16.pth --work-dir tools/batch_test/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco --eval bbox --cfg-option dist_params.port=29708 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco configs/resnest/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py $CHECKPOINT_DIR/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco_20200926_125502-20289c16.pth --work-dir tools/batch_test/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco --eval bbox --cfg-option dist_params.port=29708 &
echo 'configs/retinanet/retinanet_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab retinanet_r50_fpn_1x_coco configs/retinanet/retinanet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth --work-dir tools/batch_test/retinanet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29709 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION retinanet_r50_fpn_1x_coco configs/retinanet/retinanet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth --work-dir tools/batch_test/retinanet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29709 &
echo 'configs/rpn/rpn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab rpn_r50_fpn_1x_coco configs/rpn/rpn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/rpn_r50_fpn_1x_coco_20200218-5525fa2e.pth --work-dir tools/batch_test/rpn_r50_fpn_1x_coco --eval proposal_fast --cfg-option dist_params.port=29710 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION rpn_r50_fpn_1x_coco configs/rpn/rpn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/rpn_r50_fpn_1x_coco_20200218-5525fa2e.pth --work-dir tools/batch_test/rpn_r50_fpn_1x_coco --eval proposal_fast --cfg-option dist_params.port=29710 &
echo 'configs/sabl/sabl_retinanet_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab sabl_retinanet_r50_fpn_1x_coco configs/sabl/sabl_retinanet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth --work-dir tools/batch_test/sabl_retinanet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29711 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION sabl_retinanet_r50_fpn_1x_coco configs/sabl/sabl_retinanet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth --work-dir tools/batch_test/sabl_retinanet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29711 &
echo 'configs/sabl/sabl_faster_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab sabl_faster_rcnn_r50_fpn_1x_coco configs/sabl/sabl_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sabl_faster_rcnn_r50_fpn_1x_coco-e867595b.pth --work-dir tools/batch_test/sabl_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29712 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION sabl_faster_rcnn_r50_fpn_1x_coco configs/sabl/sabl_faster_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sabl_faster_rcnn_r50_fpn_1x_coco-e867595b.pth --work-dir tools/batch_test/sabl_faster_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29712 &
echo 'configs/scnet/scnet_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab scnet_r50_fpn_1x_coco configs/scnet/scnet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/scnet_r50_fpn_1x_coco-c3f09857.pth --work-dir tools/batch_test/scnet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29713 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION scnet_r50_fpn_1x_coco configs/scnet/scnet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/scnet_r50_fpn_1x_coco-c3f09857.pth --work-dir tools/batch_test/scnet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29713 &
echo 'configs/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab sparse_rcnn_r50_fpn_1x_coco configs/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sparse_rcnn_r50_fpn_1x_coco_20201222_214453-dc79b137.pth --work-dir tools/batch_test/sparse_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29714 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION sparse_rcnn_r50_fpn_1x_coco configs/sparse_rcnn/sparse_rcnn_r50_fpn_1x_coco.py $CHECKPOINT_DIR/sparse_rcnn_r50_fpn_1x_coco_20201222_214453-dc79b137.pth --work-dir tools/batch_test/sparse_rcnn_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29714 &
echo 'configs/ssd/ssd300_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab ssd300_coco configs/ssd/ssd300_coco.py $CHECKPOINT_DIR/ssd300_coco_20200307-a92d2092.pth --work-dir tools/batch_test/ssd300_coco --eval bbox --cfg-option dist_params.port=29715 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION ssd300_coco configs/ssd/ssd300_coco.py $CHECKPOINT_DIR/ssd300_coco_20200307-a92d2092.pth --work-dir tools/batch_test/ssd300_coco --eval bbox --cfg-option dist_params.port=29715 &
echo 'configs/tridentnet/tridentnet_r50_caffe_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab tridentnet_r50_caffe_1x_coco configs/tridentnet/tridentnet_r50_caffe_1x_coco.py $CHECKPOINT_DIR/tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth --work-dir tools/batch_test/tridentnet_r50_caffe_1x_coco --eval bbox --cfg-option dist_params.port=29716 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION tridentnet_r50_caffe_1x_coco configs/tridentnet/tridentnet_r50_caffe_1x_coco.py $CHECKPOINT_DIR/tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth --work-dir tools/batch_test/tridentnet_r50_caffe_1x_coco --eval bbox --cfg-option dist_params.port=29716 &
echo 'configs/vfnet/vfnet_r50_fpn_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab vfnet_r50_fpn_1x_coco configs/vfnet/vfnet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth --work-dir tools/batch_test/vfnet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29717 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION vfnet_r50_fpn_1x_coco configs/vfnet/vfnet_r50_fpn_1x_coco.py $CHECKPOINT_DIR/vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth --work-dir tools/batch_test/vfnet_r50_fpn_1x_coco --eval bbox --cfg-option dist_params.port=29717 &
echo 'configs/yolact/yolact_r50_1x8_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab yolact_r50_1x8_coco configs/yolact/yolact_r50_1x8_coco.py $CHECKPOINT_DIR/yolact_r50_1x8_coco_20200908-f38d58df.pth --work-dir tools/batch_test/yolact_r50_1x8_coco --eval bbox --cfg-option dist_params.port=29718 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION yolact_r50_1x8_coco configs/yolact/yolact_r50_1x8_coco.py $CHECKPOINT_DIR/yolact_r50_1x8_coco_20200908-f38d58df.pth --work-dir tools/batch_test/yolact_r50_1x8_coco --eval bbox segm --cfg-option dist_params.port=29718 &
echo 'configs/yolo/yolov3_d53_320_273e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab yolov3_d53_320_273e_coco configs/yolo/yolov3_d53_320_273e_coco.py $CHECKPOINT_DIR/yolov3_d53_320_273e_coco-421362b6.pth --work-dir tools/batch_test/yolov3_d53_320_273e_coco --eval bbox --cfg-option dist_params.port=29719 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION yolov3_d53_320_273e_coco configs/yolo/yolov3_d53_320_273e_coco.py $CHECKPOINT_DIR/yolov3_d53_320_273e_coco-421362b6.pth --work-dir tools/batch_test/yolov3_d53_320_273e_coco --eval bbox --cfg-option dist_params.port=29719 &
echo 'configs/yolof/yolof_r50_c5_8x8_1x_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab yolof_r50_c5_8x8_1x_coco configs/yolof/yolof_r50_c5_8x8_1x_coco.py $CHECKPOINT_DIR/yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth --work-dir tools/batch_test/yolof_r50_c5_8x8_1x_coco --eval bbox --cfg-option dist_params.port=29720 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION yolof_r50_c5_8x8_1x_coco configs/yolof/yolof_r50_c5_8x8_1x_coco.py $CHECKPOINT_DIR/yolof_r50_c5_8x8_1x_coco_20210425_024427-8e864411.pth --work-dir tools/batch_test/yolof_r50_c5_8x8_1x_coco --eval bbox --cfg-option dist_params.port=29720 &
echo 'configs/centernet/centernet_resnet18_dcnv2_140e_coco.py' &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh openmmlab centernet_resnet18_dcnv2_140e_coco configs/centernet/centernet_resnet18_dcnv2_140e_coco.py $CHECKPOINT_DIR/centernet_resnet18_dcnv2_140e_coco_20210520_101209-da388ba2.pth --work-dir tools/batch_test/centernet_resnet18_dcnv2_140e_coco --eval bbox --cfg-option dist_params.port=29721 &
GPUS=8 GPUS_PER_NODE=8 CPUS_PER_TASK=2 tools/slurm_test.sh $PARTITION centernet_resnet18_dcnv2_140e_coco configs/centernet/centernet_resnet18_dcnv2_140e_coco.py $CHECKPOINT_DIR/centernet_resnet18_dcnv2_140e_coco_20210520_101209-da388ba2.pth --work-dir tools/batch_test/centernet_resnet18_dcnv2_140e_coco --eval bbox --cfg-option dist_params.port=29721 &

75
tools/analysis_tools/benchmark.py
Unescape View File

@ -1,11 +1,12 @@
import argparse
import os
import time
import torch
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel
from mmcv.runner import load_checkpoint, wrap_fp16_model
from mmcv.parallel import MMDistributedDataParallel
from mmcv.runner import init_dist, load_checkpoint, wrap_fp16_model
from mmdet.datasets import (build_dataloader, build_dataset,
replace_ImageToTensor)
@ -17,7 +18,9 @@ def parse_args():
parser.add_argument('config', help='test config file path')
parser.add_argument('checkpoint', help='checkpoint file')
parser.add_argument(
'--log-interval', default=50, help='interval of logging')
'--max-iter', type=int, default=2000, help='num of max iter')
parser.add_argument(
'--log-interval', type=int, default=50, help='interval of logging')
parser.add_argument(
'--fuse-conv-bn',
action='store_true',
@ -33,20 +36,20 @@ def parse_args():
'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.')
parser.add_argument(
'--launcher',
choices=['none', 'pytorch', 'slurm', 'mpi'],
default='none',
help='job launcher')
parser.add_argument('--local_rank', type=int, default=0)
args = parser.parse_args()
if 'LOCAL_RANK' not in os.environ:
os.environ['LOCAL_RANK'] = str(args.local_rank)
return args
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
if args.cfg_options is not None:
cfg.merge_from_dict(args.cfg_options)
# import modules from string list.
if cfg.get('custom_imports', None):
from mmcv.utils import import_modules_from_strings
import_modules_from_strings(**cfg['custom_imports'])
def measure_inferense_speed(cfg, checkpoint, max_iter, log_interval,
is_fuse_conv_bn):
# set cudnn_benchmark
if cfg.get('cudnn_benchmark', False):
torch.backends.cudnn.benchmark = True
@ -63,7 +66,7 @@ def main():
dataset,
samples_per_gpu=1,
workers_per_gpu=cfg.data.workers_per_gpu,
dist=False,
dist=True,
shuffle=False)
# build the model and load checkpoint
@ -72,17 +75,20 @@ def main():
fp16_cfg = cfg.get('fp16', None)
if fp16_cfg is not None:
wrap_fp16_model(model)
load_checkpoint(model, args.checkpoint, map_location='cpu')
if args.fuse_conv_bn:
load_checkpoint(model, checkpoint, map_location='cpu')
if is_fuse_conv_bn:
model = fuse_conv_bn(model)
model = MMDataParallel(model, device_ids=[0])
model = MMDistributedDataParallel(
model.cuda(),
device_ids=[torch.cuda.current_device()],
broadcast_buffers=False)
model.eval()
# the first several iterations may be very slow so skip them
num_warmup = 5
pure_inf_time = 0
fps = 0
# benchmark with 2000 image and take the average
for i, data in enumerate(data_loader):
@ -98,15 +104,38 @@ def main():
if i >= num_warmup:
pure_inf_time += elapsed
if (i + 1) % args.log_interval == 0:
if (i + 1) % log_interval == 0:
fps = (i + 1 - num_warmup) / pure_inf_time
print(f'Done image [{i + 1:<3}/ 2000], fps: {fps:.1f} img / s')
print(
f'Done image [{i + 1:<3}/ {max_iter}], '
f'fps: {fps:.1f} img / s, '
f'times per image: {1000 / fps:.1f} ms / img',
flush=True)
if (i + 1) == 2000:
pure_inf_time += elapsed
if (i + 1) == max_iter:
fps = (i + 1 - num_warmup) / pure_inf_time
print(f'Overall fps: {fps:.1f} img / s')
print(
f'Overall fps: {fps:.1f} img / s, '
f'times per image: {1000 / fps:.1f} ms / img',
flush=True)
break
return fps
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
if args.cfg_options is not None:
cfg.merge_from_dict(args.cfg_options)
if args.launcher == 'none':
raise NotImplementedError('Only supports distributed mode')
else:
init_dist(args.launcher, **cfg.dist_params)
measure_inferense_speed(cfg, args.checkpoint, args.max_iter,
args.log_interval, args.fuse_conv_bn)
if __name__ == '__main__':

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