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train/Down32
train/Down32
 
 
ADEData.py
ADEData.py
 
 
ADEData.pyc
ADEData.pyc
 
 
BUILD
BUILD
 
 
CamVidData.py
CamVidData.py
 
 
CamVidData.pyc
CamVidData.pyc
 
 
DAGResnet.py
DAGResnet.py
 
 
DAGResnet.pyc
DAGResnet.pyc
 
 
DAGResnet_eval.py
DAGResnet_eval.py
 
 
DAGResnet_eval.py~
DAGResnet_eval.py~
 
 
DAGResnet_eval_Stanford.py
DAGResnet_eval_Stanford.py
 
 
DAGResnet_eval_old.py
DAGResnet_eval_old.py
 
 
DAGResnet_eval_pure.py
DAGResnet_eval_pure.py
 
 
DAGResnet_multi_gpu_train.py
DAGResnet_multi_gpu_train.py
 
 
FacialHair.py
FacialHair.py
 
 
FacialHair.pyc
FacialHair.pyc
 
 
Note
Note
 
 
PrepareData.py
PrepareData.py
 
 
README.md
README.md
 
 
README.md~
README.md~
 
 
SiftFlow.py
SiftFlow.py
 
 
SiftFlowData.py
SiftFlowData.py
 
 
SiftFlowData.pyc
SiftFlowData.pyc
 
 
SiftFlow_input.py
SiftFlow_input.py
 
 
StanfordData.py
StanfordData.py
 
 
StanfordData.pyc
StanfordData.pyc
 
 
TestData.py
TestData.py
 
 
TestSet1.txt
TestSet1.txt
 
 
__init__.py
__init__.py
 
 
build_image_data.py
build_image_data.py
 
 
build_image_data_ADE.py
build_image_data_ADE.py
 
 
build_image_data_facialhair.py
build_image_data_facialhair.py
 
 
build_image_data_org.py
build_image_data_org.py
 
 
casia_data.py
casia_data.py
 
 
casia_train.py
casia_train.py
 
 
cifar10.py
cifar10.py
 
 
cifar10_eval.py
cifar10_eval.py
 
 
cifar10_input.py
cifar10_input.py
 
 
cifar10_input_test.py
cifar10_input_test.py
 
 
cifar10_multi_gpu_train.py
cifar10_multi_gpu_train.py
 
 
cifar10_train.py
cifar10_train.py
 
 
class_img.png
class_img.png
 
 
class_img1.png
class_img1.png
 
 
class_img2.png
class_img2.png
 
 
computeAccuracy.py
computeAccuracy.py
 
 
computeAccuracy_o.py
computeAccuracy_o.py
 
 
createData.py
createData.py
 
 
createData_ADE.py
createData_ADE.py
 
 
createData_CamVid.py
createData_CamVid.py
 
 
createData_Stanford.py
createData_Stanford.py
 
 
dataset.py
dataset.py
 
 
dataset.pyc
dataset.pyc
 
 
download_and_preprocess_casia.sh
download_and_preprocess_casia.sh
 
 
image_processing.py
image_processing.py
 
 
image_processing.pyc
image_processing.pyc
 
 
imdb_siftflow_img_label.h5
imdb_siftflow_img_label.h5
 
 
model.ckpt-5000.meta
model.ckpt-5000.meta
 
 
showLabelFile.py
showLabelFile.py
 
 
utils.py
utils.py
 
 
utils.pyc
utils.pyc
 
 

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--data_dir=../../Data/SiftFlow_Oct30_new/data_train --batch_size=32 --train_dir=./train/Nov09/Down32/SiftFlow_16_8_3_noAttWeight_shareWeight --learning_rate=0.1 --image_size=256 --use_attention_weight=False --reduce_size=32 --block_size=8 --hid_size=16 --usePredictionMax=False --database=SiftFlow --num_gpus=1 --do_val=500

Ver0.6.5 - shareweight TRAIN --data_dir=../../Data/SiftFlow_Oct30_new/data_train --batch_size=32 --train_dir=./train/Nov09/Down64/SiftFlow_16_8_3_noAttWeight_shareWeight --learning_rate=0.1 --image_size=256 --use_attention_weight=False --reduce_size=32 --block_size=8 --hid_size=16 --usePredictionMax=False --database=SiftFlow --num_gpus=1 --do_val=500

Ver0.6.5 - shareweight evaluation

SIFTFLOW --eval_dir=../../Data/SiftFlow_Oct30_new/data_eval --data_dir=../../Data/SiftFlow_Oct30_new/data_train --subset=validation --checkpoint_dir=./train/Nov09/Down32/FromServer_new/SiftFlow_8_8_3_withAttWeight_shareWeight --run_once --out_label_dir=./results/Nov09/Down32/FromServer_new/SiftFlow_8_8_3_withAttWeight_shareWeight_sumDAG_13000 --num_examples=2000 --image_size=256 --batch_size=32 --reduce_size=32 --block_size=8 --hid_size=8 --use_attention_weight=True --database=SiftFlow

ADE --eval_dir=../../Data/ADEChallenge/data_eval --data_dir=../../Data/ADEChallenge/data_train --subset=validation --checkpoint_dir=./train/Nov11/Down32/ADE_16_8_3_noAttWeight_shareWeight --run_once --out_label_dir=./results/Nov11/Down32/ADEChallenge_16_8_3_noAttWeight_shareWeight_sumDAG_12000 --num_examples=2000 --image_size=256 --batch_size=32 --reduce_size=32 --block_size=8 --hid_size=16 --use_attention_weight=False --database=ADEChallenge

CUDA_VISIBLE_DEVICES=0 python DAGResnet_multi_gpu_train.py --data_dir=../../Data/SiftFlow_Oct30_new/data_train --batch_size=32 --train_dir=./train/Nov11/Down32/SiftFlow_16_8_3_noAttWeight_shareWeight_newRelu_lr0.01 --learning_rate=0.01 --image_size=256 --use_attention_weight=False --reduce_size=32 --block_size=8 --hid_size=16 --usePredictionMax=False --database=SiftFlow --num_gpus=1 --do_val=500 CAMVID EVAL V0.6.5 --eval_dir=../../Data/CamVid/data_eval --data_dir=../../Data/CamVid/data_train --subset=validation --checkpoint_dir=./train/Nov11/Down32/CamVid_8_8_3_noAttWeight_shareWeight_lr_0.01_newRelu --run_once --out_label_dir=./results/Nov11/Down32/CamVid_8_8_3_noAttWeight_shareWeight_lr_0.01_newRelu_14000 --num_examples=1500 --image_size=256 --batch_size=32 --reduce_size=32 --block_size=8 --hid_size=8 --use_attention_weight=False --database=CamVid

CUDA_VISIBLE_DEVICES=0 python --eval_dir=../../Data/SiftFlow_Oct30_new/data_eval --data_dir=../../Data/SiftFlow_Oct30_new/data_train --subset=validation --checkpoint_dir=./train/Nov11/Down32/SiftFlow_16_8_3_shareWeight_noAttWeight_finetune_lr0.001 --run_once --out_label_dir=./results/Nov11/Down32/SiftFlow_16_8_3_shareWeight_noAttWeight_finetune_lr0.001_27000 --num_examples=2000 --image_size=256 --batch_size=32 --reduce_size=32 --block_size=8 --hid_size=8 --use_attention_weight=False --database=SiftFlow

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5 python DAGResnet_multi_gpu_train.py --data_dir=../../Data/SiftFlow_Oct30_new/data_train --batch_size=192 --train_dir=./train/Nov11/Down32/SiftFlow_16_8_3_shareWeight_noAttWeight_finetune_lr0.001 --learning_rate=0.001 --image_size=256 --use_attention_weight=False --reduce_size=32 --block_size=8 --hid_size=16 --usePredictionMax=False --database=SiftFlow --num_gpus=6 --do_val=500

ADE Data --train_directory=/media/Babylon/dcnhan/Code/SceneParsing/Data/ADEChallenge/train/images --train_label_directory=/media/chinhan/1CF51B3B19F30D68/Databases/ADEChallenge/ADEChallengeData2016/siftflow_class_label/training --validation_directory=/media/Babylon/dcnhan/Code/SceneParsing/Data/ADEChallenge/validation/images --val_label_directory=/media/chinhan/1CF51B3B19F30D68/Databases/ADEChallenge/ADEChallengeData2016/siftflow_class_label/validation --output_directory=/media/Babylon/dcnhan/Code/SceneParsing/Data/ADEChallenge/data_train_new

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