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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,16 @@ | ||
| EXP_DIR: mobile | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: mobile_faster_rcnn | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| EXP_DIR: res101-lg | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| WEIGHT_DECAY: 0.0001 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: res101_faster_rcnn | ||
| SCALES: [800] | ||
| MAX_SIZE: 1333 | ||
| TEST: | ||
| HAS_RPN: True | ||
| SCALES: [800] | ||
| MAX_SIZE: 1333 | ||
| RPN_POST_NMS_TOP_N: 1000 | ||
| POOLING_MODE: crop | ||
| ANCHOR_SCALES: [2,4,8,16,32] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| EXP_DIR: res101 | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| WEIGHT_DECAY: 0.0001 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: res101_mask_rcnn | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop |
18 changes: 18 additions & 0 deletions
18
pyutils/mask-faster-rcnn/experiments/cfgs/res101_align.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| EXP_DIR: res101 | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| WEIGHT_DECAY: 0.0001 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: res101_mask_rcnn | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop | ||
| POOLING_ALIGN: True |
18 changes: 18 additions & 0 deletions
18
pyutils/mask-faster-rcnn/experiments/cfgs/res101_from_frcn.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| EXP_DIR: res101 | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| WEIGHT_DECAY: 0.0001 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: res101_mask_rcnn | ||
| FROM_FRCN: True | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| EXP_DIR: res50 | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| WEIGHT_DECAY: 0.0001 | ||
| DOUBLE_BIAS: False | ||
| SNAPSHOT_PREFIX: res50_faster_rcnn | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| EXP_DIR: vgg16 | ||
| TRAIN: | ||
| HAS_RPN: True | ||
| IMS_PER_BATCH: 1 | ||
| BBOX_NORMALIZE_TARGETS_PRECOMPUTED: True | ||
| RPN_POSITIVE_OVERLAP: 0.7 | ||
| RPN_BATCHSIZE: 256 | ||
| PROPOSAL_METHOD: gt | ||
| BG_THRESH_LO: 0.0 | ||
| DISPLAY: 20 | ||
| BATCH_SIZE: 256 | ||
| SNAPSHOT_PREFIX: vgg16_faster_rcnn | ||
| TEST: | ||
| HAS_RPN: True | ||
| POOLING_MODE: crop |
67 changes: 67 additions & 0 deletions
67
pyutils/mask-faster-rcnn/experiments/scripts/convert_vgg16.sh
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,67 @@ | ||
| #!/bin/bash | ||
|
|
||
| set -x | ||
| set -e | ||
|
|
||
| export PYTHONUNBUFFERED="True" | ||
|
|
||
| GPU_ID=$1 | ||
| DATASET=$2 | ||
| NET=vgg16 | ||
|
|
||
| array=( $@ ) | ||
| len=${#array[@]} | ||
| EXTRA_ARGS=${array[@]:2:$len} | ||
| EXTRA_ARGS_SLUG=${EXTRA_ARGS// /_} | ||
|
|
||
| case ${DATASET} in | ||
| pascal_voc) | ||
| TRAIN_IMDB="voc_2007_trainval" | ||
| TEST_IMDB="voc_2007_test" | ||
| ITERS=70000 | ||
| ANCHORS="[8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| pascal_voc_0712) | ||
| TRAIN_IMDB="voc_2007_trainval+voc_2012_trainval" | ||
| TEST_IMDB="voc_2007_test" | ||
| ITERS=110000 | ||
| ANCHORS="[8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| coco) | ||
| TRAIN_IMDB="coco_2014_train+coco_2014_valminusminival" | ||
| TEST_IMDB="coco_2014_minival" | ||
| ITERS=490000 | ||
| ANCHORS="[4,8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| *) | ||
| echo "No dataset given" | ||
| exit | ||
| ;; | ||
| esac | ||
|
|
||
| set +x | ||
| NET_FINAL=${NET}_faster_rcnn_iter_${ITERS} | ||
| set -x | ||
|
|
||
| if [ ! -f ${NET_FINAL}.index ]; then | ||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} time python ./tools/convert_from_depre.py \ | ||
| --snapshot ${NET_FINAL} \ | ||
| --imdb ${TRAIN_IMDB} \ | ||
| --iters ${ITERS} \ | ||
| --cfg experiments/cfgs/${NET}.yml \ | ||
| --tag ${EXTRA_ARGS_SLUG} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} ${EXTRA_ARGS} | ||
| else | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} time python ./tools/convert_from_depre.py \ | ||
| --snapshot ${NET_FINAL} \ | ||
| --imdb ${TRAIN_IMDB} \ | ||
| --iters ${ITERS} \ | ||
| --cfg experiments/cfgs/${NET}.yml \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} ${EXTRA_ARGS} | ||
| fi | ||
| fi | ||
|
|
59 changes: 59 additions & 0 deletions
59
pyutils/mask-faster-rcnn/experiments/scripts/test_mask_rcnn_align.sh
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| #!/bin/bash | ||
|
|
||
| set -x | ||
| set -e | ||
|
|
||
| export PYTHONUNBUFFERED="True" | ||
|
|
||
| GPU_ID=$1 | ||
| DATASET=$2 | ||
| NET=$3 | ||
|
|
||
| array=( $@ ) | ||
| len=${#array[@]} | ||
| EXTRA_ARGS=${array[@]:3:$len} | ||
| EXTRA_ARGS_SLUG=${EXTRA_ARGS// /_} | ||
|
|
||
| case ${DATASET} in | ||
| coco_minus_refer) | ||
| TRAIN_IMDB="coco_2014_train_minus_refer_valtest+coco_2014_valminusminival" | ||
| TEST_IMDB="coco_2014_minival" | ||
| ITERS=1250000 | ||
| ANCHORS="[4,8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| *) | ||
| echo "No dataset given" | ||
| exit | ||
| ;; | ||
| esac | ||
|
|
||
| LOG="experiments/logs/test_${NET}_${TRAIN_IMDB}_${EXTRA_ARGS_SLUG}.txt.`date +'%Y-%m-%d_%H-%M-%S'`" | ||
| exec &> >(tee -a "$LOG") | ||
| echo Logging output to "$LOG" | ||
|
|
||
| set +x | ||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/${EXTRA_ARGS_SLUG}/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| else | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/default/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| fi | ||
| set -x | ||
|
|
||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}_align.yml \ | ||
| --tag ${EXTRA_ARGS_SLUG} \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # ${EXTRA_ARGS} | ||
| else | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}_align.yml \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # {EXTRA_ARGS} | ||
| fi | ||
|
|
59 changes: 59 additions & 0 deletions
59
pyutils/mask-faster-rcnn/experiments/scripts/test_mask_rcnn_from_frcn.sh
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| #!/bin/bash | ||
|
|
||
| set -x | ||
| set -e | ||
|
|
||
| export PYTHONUNBUFFERED="True" | ||
|
|
||
| GPU_ID=$1 | ||
| DATASET=$2 | ||
| NET=$3 | ||
|
|
||
| array=( $@ ) | ||
| len=${#array[@]} | ||
| EXTRA_ARGS=${array[@]:3:$len} | ||
| EXTRA_ARGS_SLUG=${EXTRA_ARGS// /_} | ||
|
|
||
| case ${DATASET} in | ||
| coco_minus_refer) | ||
| TRAIN_IMDB="coco_2014_train_minus_refer_valtest+coco_2014_valminusminival" | ||
| TEST_IMDB="coco_2014_minival" | ||
| ITERS=490000 | ||
| ANCHORS="[4,8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| *) | ||
| echo "No dataset given" | ||
| exit | ||
| ;; | ||
| esac | ||
|
|
||
| LOG="experiments/logs/test_${NET}_${TRAIN_IMDB}_${EXTRA_ARGS_SLUG}.txt.`date +'%Y-%m-%d_%H-%M-%S'`" | ||
| exec &> >(tee -a "$LOG") | ||
| echo Logging output to "$LOG" | ||
|
|
||
| set +x | ||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/${EXTRA_ARGS_SLUG}/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| else | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/default/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| fi | ||
| set -x | ||
|
|
||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}_from_frcn.yml \ | ||
| --tag ${EXTRA_ARGS_SLUG} \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # ${EXTRA_ARGS} | ||
| else | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}_from_frcn.yml \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # {EXTRA_ARGS} | ||
| fi | ||
|
|
59 changes: 59 additions & 0 deletions
59
pyutils/mask-faster-rcnn/experiments/scripts/test_mask_rcnn_notime.sh
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| #!/bin/bash | ||
|
|
||
| set -x | ||
| set -e | ||
|
|
||
| export PYTHONUNBUFFERED="True" | ||
|
|
||
| GPU_ID=$1 | ||
| DATASET=$2 | ||
| NET=$3 | ||
|
|
||
| array=( $@ ) | ||
| len=${#array[@]} | ||
| EXTRA_ARGS=${array[@]:3:$len} | ||
| EXTRA_ARGS_SLUG=${EXTRA_ARGS// /_} | ||
|
|
||
| case ${DATASET} in | ||
| coco_minus_refer) | ||
| TRAIN_IMDB="coco_2014_train_minus_refer_valtest+coco_2014_valminusminival" | ||
| TEST_IMDB="coco_2014_minival" | ||
| ITERS=1250000 | ||
| ANCHORS="[4,8,16,32]" | ||
| RATIOS="[0.5,1,2]" | ||
| ;; | ||
| *) | ||
| echo "No dataset given" | ||
| exit | ||
| ;; | ||
| esac | ||
|
|
||
| LOG="experiments/logs/test_${NET}_${TRAIN_IMDB}_${EXTRA_ARGS_SLUG}.txt.`date +'%Y-%m-%d_%H-%M-%S'`" | ||
| exec &> >(tee -a "$LOG") | ||
| echo Logging output to "$LOG" | ||
|
|
||
| set +x | ||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/${EXTRA_ARGS_SLUG}/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| else | ||
| NET_FINAL=output/${NET}/${TRAIN_IMDB}/default/${NET}_mask_rcnn_iter_${ITERS}.pth | ||
| fi | ||
| set -x | ||
|
|
||
| if [[ ! -z ${EXTRA_ARGS_SLUG} ]]; then | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}.yml \ | ||
| --tag ${EXTRA_ARGS_SLUG} \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # ${EXTRA_ARGS} | ||
| else | ||
| CUDA_VISIBLE_DEVICES=${GPU_ID} python ./tools/test_net.py \ | ||
| --imdb ${TEST_IMDB} \ | ||
| --model ${NET_FINAL} \ | ||
| --cfg experiments/cfgs/${NET}.yml \ | ||
| --net ${NET} \ | ||
| --set ANCHOR_SCALES ${ANCHORS} ANCHOR_RATIOS ${RATIOS} # {EXTRA_ARGS} | ||
| fi | ||
|
|
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