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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,77 @@ | ||
dataset_cfg = dict( | ||
dataset_name='ROD2021', | ||
base_root="/mnt/disk2/CRUW/ROD2021", | ||
data_root="/mnt/disk2/CRUW/ROD2021/sequences", | ||
anno_root="/mnt/disk2/CRUW/ROD2021/annotations", | ||
anno_ext='.txt', | ||
train=dict( | ||
subdir='train', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
valid=dict( | ||
subdir='valid', | ||
seqs=[], | ||
), | ||
test=dict( | ||
subdir='test', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
demo=dict( | ||
subdir='demo', | ||
seqs=[], | ||
), | ||
) | ||
|
||
model_cfg = dict( | ||
type='CDCv2', | ||
name='rodnet-cdc-v2-win16-wobg', | ||
max_dets=20, | ||
peak_thres=0.3, | ||
ols_thres=0.3, | ||
mnet_cfg=(4, 32), | ||
dcn=True, | ||
) | ||
|
||
confmap_cfg = dict( | ||
confmap_sigmas={ | ||
'pedestrian': 15, | ||
'cyclist': 20, | ||
'car': 30, | ||
# 'van': 40, | ||
# 'truck': 50, | ||
}, | ||
confmap_sigmas_interval={ | ||
'pedestrian': [5, 15], | ||
'cyclist': [8, 20], | ||
'car': [10, 30], | ||
# 'van': [15, 40], | ||
# 'truck': [20, 50], | ||
}, | ||
confmap_length={ | ||
'pedestrian': 1, | ||
'cyclist': 2, | ||
'car': 3, | ||
# 'van': 4, | ||
# 'truck': 5, | ||
} | ||
) | ||
|
||
train_cfg = dict( | ||
n_epoch=100, | ||
batch_size=4, | ||
lr=0.00001, | ||
lr_step=5, # lr will decrease 10 times after lr_step epoches | ||
win_size=16, | ||
train_step=1, | ||
train_stride=4, | ||
log_step=100, | ||
save_step=10000, | ||
) | ||
test_cfg = dict( | ||
test_step=1, | ||
test_stride=8, | ||
rr_min=1.0, # min radar range | ||
rr_max=20.0, # max radar range | ||
ra_min=-60.0, # min radar angle | ||
ra_max=60.0, # max radar angle | ||
) |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,78 @@ | ||
dataset_cfg = dict( | ||
dataset_name='ROD2021', | ||
base_root="/mnt/disk2/CRUW/ROD2021", | ||
data_root="/mnt/disk2/CRUW/ROD2021/sequences", | ||
anno_root="/mnt/disk2/CRUW/ROD2021/annotations", | ||
anno_ext='.txt', | ||
train=dict( | ||
subdir='train', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
valid=dict( | ||
subdir='valid', | ||
seqs=[], | ||
), | ||
test=dict( | ||
subdir='test', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
demo=dict( | ||
subdir='demo', | ||
seqs=[], | ||
), | ||
) | ||
|
||
model_cfg = dict( | ||
type='HGv2', | ||
name='rodnet-hg1-v2-win16-wobg', | ||
max_dets=20, | ||
peak_thres=0.4, | ||
ols_thres=0.3, | ||
stacked_num=1, | ||
mnet_cfg=(4, 32), | ||
dcn=True, | ||
) | ||
|
||
confmap_cfg = dict( | ||
confmap_sigmas={ | ||
'pedestrian': 15, | ||
'cyclist': 20, | ||
'car': 30, | ||
# 'van': 40, | ||
# 'truck': 50, | ||
}, | ||
confmap_sigmas_interval={ | ||
'pedestrian': [5, 15], | ||
'cyclist': [8, 20], | ||
'car': [10, 30], | ||
# 'van': [15, 40], | ||
# 'truck': [20, 50], | ||
}, | ||
confmap_length={ | ||
'pedestrian': 1, | ||
'cyclist': 2, | ||
'car': 3, | ||
# 'van': 4, | ||
# 'truck': 5, | ||
} | ||
) | ||
|
||
train_cfg = dict( | ||
n_epoch=50, | ||
batch_size=4, | ||
lr=0.00001, | ||
lr_step=5, # lr will decrease 10 times after lr_step epoches | ||
win_size=16, | ||
train_step=1, | ||
train_stride=4, | ||
log_step=100, | ||
save_step=10000, | ||
) | ||
test_cfg = dict( | ||
test_step=1, | ||
test_stride=8, | ||
rr_min=1.0, # min radar range | ||
rr_max=20.0, # max radar range | ||
ra_min=-60.0, # min radar angle | ||
ra_max=60.0, # max radar angle | ||
) |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,78 @@ | ||
dataset_cfg = dict( | ||
dataset_name='ROD2021', | ||
base_root="/mnt/disk1/CRUW/ROD2021", | ||
data_root="/mnt/disk1/CRUW/ROD2021/sequences", | ||
anno_root="/mnt/disk1/CRUW/ROD2021/annotations", | ||
anno_ext='.txt', | ||
train=dict( | ||
subdir='train', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
valid=dict( | ||
subdir='valid', | ||
# seqs=[], | ||
), | ||
test=dict( | ||
subdir='test', | ||
# seqs=[], # can choose from the subdir folder | ||
), | ||
demo=dict( | ||
subdir='demo', | ||
seqs=[], | ||
), | ||
) | ||
|
||
model_cfg = dict( | ||
type='HGwIv2', | ||
name='rodnet-hg1wi-v2-win16-wobg', | ||
max_dets=20, | ||
peak_thres=0.3, | ||
ols_thres=0.3, | ||
stacked_num=1, | ||
mnet_cfg=(4, 32), | ||
dcn=True, | ||
) | ||
|
||
confmap_cfg = dict( | ||
confmap_sigmas={ | ||
'pedestrian': 15, | ||
'cyclist': 20, | ||
'car': 30, | ||
# 'van': 40, | ||
# 'truck': 50, | ||
}, | ||
confmap_sigmas_interval={ | ||
'pedestrian': [5, 15], | ||
'cyclist': [8, 20], | ||
'car': [10, 30], | ||
# 'van': [15, 40], | ||
# 'truck': [20, 50], | ||
}, | ||
confmap_length={ | ||
'pedestrian': 1, | ||
'cyclist': 2, | ||
'car': 3, | ||
# 'van': 4, | ||
# 'truck': 5, | ||
} | ||
) | ||
|
||
train_cfg = dict( | ||
n_epoch=100, | ||
batch_size=2, | ||
lr=0.00001, | ||
lr_step=5, # lr will decrease 10 times after lr_step epoches | ||
win_size=16, | ||
train_step=1, | ||
train_stride=4, | ||
log_step=100, | ||
save_step=10000, | ||
) | ||
test_cfg = dict( | ||
test_step=1, | ||
test_stride=8, | ||
rr_min=1.0, # min radar range | ||
rr_max=20.0, # max radar range | ||
ra_min=-60.0, # min radar angle | ||
ra_max=60.0, # max radar angle | ||
) |
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