mirror of https://github.com/JosephKJ/OWOD.git
parent
d601bbe750
commit
68bcee285d
|
@ -0,0 +1,13 @@
|
|||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52125' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MOMENTUM 0.4 OUTPUT_DIR "./output/momentum_0_4"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52126' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MOMENTUM 0.5 OUTPUT_DIR "./output/momentum_0_5"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52127' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MOMENTUM 0.6 OUTPUT_DIR "./output/momentum_0_6"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52132' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.ITEMS_PER_CLASS 10 OUTPUT_DIR "./output/items_10"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52133' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.ITEMS_PER_CLASS 30 OUTPUT_DIR "./output/items_30"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52134' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.ITEMS_PER_CLASS 50 OUTPUT_DIR "./output/items_50"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52131' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.ITEMS_PER_CLASS 5 OUTPUT_DIR "./output/items_5"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52135' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MARGIN 1.0 OUTPUT_DIR "./output/margin_1"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52136' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MARGIN 5.0 OUTPUT_DIR "./output/margin_5"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52137' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MARGIN 15.0 OUTPUT_DIR "./output/margin_15"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52138' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MARGIN 20.0 OUTPUT_DIR "./output/margin_20"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52128' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MOMENTUM 0.7 OUTPUT_DIR "./output/momentum_0_7"
|
||||
python tools/train_net.py --num-gpus 8 --dist-url='tcp://127.0.0.1:52129' --config-file ./configs/OWOD/t1/t1_train.yaml SOLVER.IMS_PER_BATCH 8 SOLVER.BASE_LR 0.01 OWOD.CLUSTERING.MOMENTUM 0.8 OUTPUT_DIR "./output/momentum_0_8"
|
|
@ -610,6 +610,7 @@ _C.OWOD.CLUSTERING.START_ITER = 100
|
|||
_C.OWOD.CLUSTERING.UPDATE_MU_ITER = 200
|
||||
_C.OWOD.CLUSTERING.MOMENTUM = 0.9
|
||||
_C.OWOD.CLUSTERING.Z_DIMENSION = 64
|
||||
_C.OWOD.CLUSTERING.MARGIN = 10.0
|
||||
|
||||
_C.OWOD.PREV_INTRODUCED_CLS = 0
|
||||
_C.OWOD.CUR_INTRODUCED_CLS = 20
|
||||
|
|
|
@ -419,6 +419,7 @@ class FastRCNNOutputLayers(nn.Module):
|
|||
max_iterations,
|
||||
output_dir,
|
||||
feat_store_path,
|
||||
margin,
|
||||
num_classes: int,
|
||||
test_score_thresh: float = 0.0,
|
||||
test_nms_thresh: float = 0.5,
|
||||
|
@ -500,7 +501,7 @@ class FastRCNNOutputLayers(nn.Module):
|
|||
self.feature_store_save_loc + '. Creating new feature store.')
|
||||
self.feature_store = Store(num_classes + 1, clustering_items_per_class)
|
||||
self.means = [None for _ in range(num_classes + 1)]
|
||||
|
||||
self.margin = margin
|
||||
|
||||
# self.ae_model = AE(input_size, clustering_z_dimension)
|
||||
# self.ae_model.apply(Xavier)
|
||||
|
@ -530,6 +531,7 @@ class FastRCNNOutputLayers(nn.Module):
|
|||
"max_iterations" : cfg.SOLVER.MAX_ITER,
|
||||
"output_dir" : cfg.OUTPUT_DIR,
|
||||
"feat_store_path" : cfg.OWOD.FEATURE_STORE_SAVE_PATH,
|
||||
"margin" : cfg.OWOD.CLUSTERING.MARGIN,
|
||||
# fmt: on
|
||||
}
|
||||
|
||||
|
@ -595,7 +597,7 @@ class FastRCNNOutputLayers(nn.Module):
|
|||
if item == None:
|
||||
all_means[i] = torch.zeros((length))
|
||||
|
||||
distances = torch.cdist(fg_features, torch.stack(all_means).cuda(), p=10.0)
|
||||
distances = torch.cdist(fg_features, torch.stack(all_means).cuda(), p=self.margin)
|
||||
labels = []
|
||||
|
||||
for index, feature in enumerate(fg_features):
|
||||
|
|
Loading…
Reference in New Issue