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schema: '2.0'
stages:
build_image:
cmd: ./build_image.sh && echo $(date) > last_build.log
deps:
- path: Dockerfile
md5: 80349cbf96a46e00ae365c06637d7b46
size: 574
- path: build_image.sh
md5: e8817aee860bb869e5b9fc89c63f7c11
size: 428
- path: gloves/
md5: 1a9e8d0632f6bc30e69806477bc08e0c.dir
size: 100608
nfiles: 33
- path: requirements.txt
md5: d45f24d6fb70c1d7810cee36cea2a318
size: 304
outs:
- path: last_build.log
md5: a1ed12d459108b2281f864d1a721635b
size: 32
wget:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 etheredgeb/wget_url:latest\
\ https://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz /app/gloves/artifacts/wget\n"
outs:
- path: artifacts/wget
md5: dbd763779bfe15e4b6d824cfde1034e0.dir
size: 791918971
nfiles: 1
untar:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 etheredgeb/untar_data:latest\
\ xzvf /app/gloves/artifacts/untar /app/gloves/artifacts/wget images.tar.gz\n"
deps:
- path: artifacts/wget
md5: dbd763779bfe15e4b6d824cfde1034e0.dir
size: 791918971
nfiles: 1
outs:
- path: artifacts/untar
md5: 277f608c70d7bd7991e0cd5f5cc845c6.dir
size: 796502375
nfiles: 7393
clean:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 etheredgeb/clean_oxford_pet_data:latest\
\ --data_dir /app/gloves/artifacts/untar --cleaned_dir_name /app/gloves/artifacts/clean\n"
deps:
- path: artifacts/untar
md5: 277f608c70d7bd7991e0cd5f5cc845c6.dir
size: 796502375
nfiles: 7393
outs:
- path: artifacts/clean
md5: 4cd0b23585aa4eaa63096ca693c28879.dir
size: 790897339
nfiles: 7390
split:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 etheredgeb/split_oxford_pet_data:latest\
\ --data-dir /app/gloves/artifacts/combined --train-dir /app/gloves/artifacts/train\
\ --test-dir /app/gloves/artifacts/test --ratio 0.2 --by-label False\n"
deps:
- path: artifacts/combined
md5: 5be1445ba859ff332bc2052ffdbb2eba.dir
size: 1626909659
nfiles: 7502
params:
params.yaml:
split.ratio: 0.2
outs:
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
hydra:
cmd: "docker run -v ${PWD}/artifacts:/outputs --user 1000:1000 --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true\
\ -e MLFLOW_EXPERIMENT_NAME=gloves -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID\
\ -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY -e MLFLOW_S3_ENDPOINT_URL=$MLFLOW_S3_ENDPOINT_URL\
\ -e MLFLOW_TRACKING_URI=$MLFLOW_TRACKING_URI -e MLFLOW_TRACKING_USERNAME=$MLFLOW_TRACKING_USERNAME\
\ -e MLFLOW_TRACKING_PASSWORD=$MLFLOW_TRACKING_PASSWORD -e S3_ENDPOINT=$S3_ENDPOINT\
\ etheredgeb/gloves:latest hydra.py --epochs 1\n"
deps:
- path: last_build.log
md5: 1867ba7e77dd51e70aa5ae4b7333d0d0
size: 32
params:
params.yaml:
train.docker_args: --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true -e MLFLOW_EXPERIMENT_NAME=gloves
-e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY
-e MLFLOW_S3_ENDPOINT_URL=$MLFLOW_S3_ENDPOINT_URL -e MLFLOW_TRACKING_URI=$MLFLOW_TRACKING_URI
-e MLFLOW_TRACKING_USERNAME=$MLFLOW_TRACKING_USERNAME -e MLFLOW_TRACKING_PASSWORD=$MLFLOW_TRACKING_PASSWORD
-e S3_ENDPOINT=$S3_ENDPOINT
train.img: etheredgeb/gloves:latest
train_siamese:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --sigmoid False --param-path params.yaml --param-parent-key siamese_distance\n"
deps:
- path: artifacts/test
md5: 7703a0c477d6314c567eb6cbf5b5dfde.dir
size: 79106624
nfiles: 739
- path: artifacts/train
md5: d0327c629f523260f1b2647575959af1.dir
size: 711790715
nfiles: 6651
- path: gloves/main.py
md5: c41c97f71eaa988cc0f527e7cd5b3620
size: 15953
params:
params.yaml:
siamese_distance:
src: gloves/main.py
out_model_path: artifacts/distance_models/model
out_encoder_path: artifacts/ distance_models/encoder
out_metrics_path: siamese_distance_logs
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
latent_nodes: 32
final_activation: sigmoid
lr: 0.0001
optimizer: adam
epochs: 1
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: true
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/ distance_models/encoder
md5: 48f32135d20a8eb55afb371dc01bb213.dir
size: 28291754
nfiles: 4
- path: artifacts/distance_models/model
md5: bb1d4288adcb57dc51ca102207dcd6ac.dir
size: 82327806
nfiles: 4
- path: siamese_distance_logs
md5: 408e0d491e69c653b9fafa218a4008b3.dir
size: 598
nfiles: 9
- path: siamese_distance_logs.html
md5: 46b36e86be4d4336d018ba9b6d24f468
size: 9554
classifier:
cmd: "python gloves/classifier.py --encoder-model-path artifacts/encoder --train-dir\
\ artifacts/train --test-dir artifacts/test --model-path artifacts/classifier_models\
\ --label-encoder-path artifacts/label_encoder --epochs 4\n"
deps:
- path: artifacts/encoder
md5: 82a898f4ff4f7bb43b62bc9d70f4626e.dir
size: 28292401
nfiles: 4
- path: artifacts/test
md5: 7703a0c477d6314c567eb6cbf5b5dfde.dir
size: 79106624
nfiles: 739
- path: artifacts/train
md5: d0327c629f523260f1b2647575959af1.dir
size: 711790715
nfiles: 6651
- path: gloves/classifier.py
md5: 58c1d378297d2ceab690713bf44f6214
size: 7549
params:
params.yaml:
classifier:
train_dir: train
test_dir: train
model_dir: classifier_models
model_filename: model
label_encoder: label_encoder
encoder: models/encoder
epochs: 4
split.train_dir: train
train.encoder: encoder
outs:
- path: artifacts/classifier_models
md5: 9490d3260480e1fbb117eab2d42930b8.dir
size: 548183467
nfiles: 16
- path: artifacts/label_encoder
md5: 04389aba6461b8869ba4c8f267b430bd
size: 1338
train_siamese_distance:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --sigmoid False --param-path params.yaml --param-parent-key siamese_distance\n"
deps:
- path: artifacts/test
md5: 7703a0c477d6314c567eb6cbf5b5dfde.dir
size: 79106624
nfiles: 739
- path: artifacts/train
md5: d0327c629f523260f1b2647575959af1.dir
size: 711790715
nfiles: 6651
- path: gloves/main.py
md5: c41c97f71eaa988cc0f527e7cd5b3620
size: 15953
params:
params.yaml:
siamese_distance:
src: gloves/main.py
out_model_path: artifacts/distance_models/model
out_encoder_path: artifacts/distance_models/encoder
out_metrics_path: siamese_distance_logs
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
latent_nodes: 32
final_activation: sigmoid
lr: 0.0001
optimizer: adam
epochs: 1
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: true
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/distance_models/encoder
md5: d95f02396ec1cddabe51f5ea9eb8b594.dir
size: 28291754
nfiles: 4
- path: artifacts/distance_models/model
md5: a78b19b8d834ba92531d2210e369f056.dir
size: 82327806
nfiles: 4
- path: siamese_distance_logs
md5: e16c198496a8cf83d770f2f4d35b66d0.dir
size: 598
nfiles: 9
- path: siamese_distance_logs.html
md5: e81d0298ba5c1833c1ebbcd229cfba76
size: 9554
siamese@distance:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 -e MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}\
\ -e MLFLOW_TRACKING_USERNAME=${MLFLOW_TRACKING_USERNAME} -e MLFLOW_TRACKING_PASSWORD=${MLFLOW_TRACKING_PASSWORD}\
\ -e MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL} -e AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}\
\ -e AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} -e WANDB_API_KEY=${WANDB_API_KEY}\
\ --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true etheredgeb/gloves:custom-tensorflow-2.7.0\
\ python gloves/gloves/main.py --train-dir /app/gloves/artifacts/train --test-dir\
\ /app/gloves/artifacts/test --sigmoid-head false --param-path gloves/params.yaml\
\ --param-parent-key siamese --out-model-path /app/gloves/artifacts/models/siamese_distance/model\
\ --out-encoder-path /app/gloves/artifacts/models/siamese_distance/encoder --out-metrics-path\
\ /app/gloves/logs/distance_siamese_logs --out-summaries-path /app/gloves/logs/distance_siamese_summaries\n"
deps:
- path: artifacts/test
md5: b4837ae96a2ca3976e9c5c776d4b557d.dir
size: 79015432
nfiles: 739
- path: artifacts/train
md5: cdd147d2867963c98b603c29c31a1042.dir
size: 711881907
nfiles: 6651
- path: gloves/main.py
md5: 779f75ac27a9f238da322f2be1b34b11
size: 13762
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
siamese:
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_layers: 0
dense_nodes: 1024
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
activation: sigmoid
latent_nodes: 32
dropout_rate: 0.0
final_activation: linear
lr: 0.0001
optimizer: adam
epochs: 200
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: true
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/models/siamese_distance/encoder
md5: 6f52ae5235e54d650e527dd12eb0e477.dir
size: 6133141
nfiles: 4
- path: artifacts/models/siamese_distance/model
md5: 57d7d3ffdd14c8359ad6b36106d0c0f6.dir
size: 17088523
nfiles: 4
- path: logs/distance_siamese_logs
md5: fb0e3fda56275373eedd8e9888ab42d1.dir
size: 76395
nfiles: 10
- path: logs/distance_siamese_logs.json
md5: 1bae638b182c46cf87c98fa413d30e4c
size: 431
- path: logs/distance_siamese_summaries
md5: a8051d89a99d2c6271dc243c386f8e27.dir
size: 31173
nfiles: 3
siamese@sigmoid:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --loss binary_crossentropy --param-path params.yaml --param-parent-key siamese\
\ --out-model-path artifacts/models/siamese_sigmoid/model --out-encoder-path\
\ artifacts/models/siamese_sigmoid/encoder --out-metrics-path logs/sigmoid_siamese_logs\
\ --out-summaries-path logs/sigmoid_siamese_summaries\n"
deps:
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/main.py
md5: 48a7913da59a65830b9b854c0d27eda3
size: 15251
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
siamese:
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_layers: 0
dense_nodes: 1024
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
activation: sigmoid
latent_nodes: 32
dropout_rate: 0.0
final_activation: linear
lr: 0.0001
optimizer: adam
epochs: 1000
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: false
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/models/siamese_sigmoid/encoder
md5: d51dec034818ff0f480188a055d448c5.dir
size: 6110261
nfiles: 4
- path: artifacts/models/siamese_sigmoid/model
md5: a25479c7678eee4d62eb8473e6e89389.dir
size: 17067258
nfiles: 4
- path: logs/sigmoid_siamese_logs
md5: 0752e6b8a5044be64610a09dd82dc2f3.dir
size: 133690
nfiles: 12
- path: logs/sigmoid_siamese_logs.json
md5: 3f9bd84dfeddb6c964d31575aadcc9aa
size: 498
- path: logs/sigmoid_siamese_summaries
md5: 255e5a648ffd860563fd9ff572655b59.dir
size: 13637
nfiles: 3
classifiers@imagenet_unfrozen:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 -e MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}\
\ -e MLFLOW_TRACKING_USERNAME=${MLFLOW_TRACKING_USERNAME} -e MLFLOW_TRACKING_PASSWORD=${MLFLOW_TRACKING_PASSWORD}\
\ -e MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL} -e AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}\
\ -e AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} -e WANDB_API_KEY=${WANDB_API_KEY}\
\ --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true etheredgeb/gloves:custom-tensorflow-2.7.0\
\ python gloves/gloves/classifier.py --encoder-model-path /app/gloves/artifacts/models/siamese_cosine_distance/encoder\
\ --train-dir /app/gloves/artifacts/train --test-dir /app/gloves/artifacts/test\
\ --param-path /app/gloves/params.yaml --param-parent-key classifier --out-model-path\
\ /app/gloves/artifacts/models/gloves_imagenet_unfrozen --out-label-encoder-path\
\ /app/gloves/artifacts/models/gloves_imagenet_unfrozen_label_encoder.joblib\
\ --out-metrics-path /app/gloves/logs/imagenet_unfrozen --use-imagenet true\
\ --is-frozen false\n"
deps:
- path: artifacts/models/siamese_cosine_distance/encoder
md5: a1356ef477d8f3ba3e7c3aa0cb94f6d2.dir
size: 6133141
nfiles: 4
- path: artifacts/test
md5: b4837ae96a2ca3976e9c5c776d4b557d.dir
size: 79015432
nfiles: 739
- path: artifacts/train
md5: cdd147d2867963c98b603c29c31a1042.dir
size: 711881907
nfiles: 6651
- path: gloves/classifier.py
md5: 2773041fd8b42f6201f740446eae5428
size: 6751
params:
params.yaml:
classifier:
batch_size: 32
epochs: 200
verbose: 1
outs:
- path: artifacts/models/gloves_imagenet_unfrozen
md5: b65ac396e190a42d06386c065ace66b3.dir
size: 44190466
nfiles: 4
- path: artifacts/models/gloves_imagenet_unfrozen_label_encoder.joblib
md5: 38667ce457ab1f450710e92cad517df4
size: 1331
- path: logs/imagenet_unfrozen
md5: 4a62e27b8065bd5c5935f8a4c72ffc6c.dir
size: 37337
nfiles: 11
- path: logs/imagenet_unfrozen.json
md5: ba384028516572c21b8da6d74686f858
size: 401
classifiers@gloves_frozen:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 -e MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}\
\ -e MLFLOW_TRACKING_USERNAME=${MLFLOW_TRACKING_USERNAME} -e MLFLOW_TRACKING_PASSWORD=${MLFLOW_TRACKING_PASSWORD}\
\ -e MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL} -e AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}\
\ -e AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} -e WANDB_API_KEY=${WANDB_API_KEY}\
\ --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true etheredgeb/gloves:custom-tensorflow-2.7.0\
\ python gloves/gloves/classifier.py --encoder-model-path /app/gloves/artifacts/models/siamese_cosine_distance/encoder\
\ --train-dir /app/gloves/artifacts/train --test-dir /app/gloves/artifacts/test\
\ --param-path /app/gloves/params.yaml --param-parent-key classifier --out-model-path\
\ /app/gloves/artifacts/models/gloves_encoder_frozen --out-label-encoder-path\
\ /app/gloves/artifacts/models/gloves_encoder_frozen_label_encoder.joblib --out-metrics-path\
\ /app/gloves/logs/gloves_frozen --use-imagenet false --is-frozen true\n"
deps:
- path: artifacts/models/siamese_cosine_distance/encoder
md5: a1356ef477d8f3ba3e7c3aa0cb94f6d2.dir
size: 6133141
nfiles: 4
- path: artifacts/test
md5: b4837ae96a2ca3976e9c5c776d4b557d.dir
size: 79015432
nfiles: 739
- path: artifacts/train
md5: cdd147d2867963c98b603c29c31a1042.dir
size: 711881907
nfiles: 6651
- path: gloves/classifier.py
md5: 2773041fd8b42f6201f740446eae5428
size: 6751
params:
params.yaml:
classifier:
batch_size: 32
epochs: 200
verbose: 1
outs:
- path: artifacts/models/gloves_encoder_frozen
md5: fc6775b38f0108e62e7315f495508dad.dir
size: 6454660
nfiles: 4
- path: artifacts/models/gloves_encoder_frozen_label_encoder.joblib
md5: 38667ce457ab1f450710e92cad517df4
size: 1331
- path: logs/gloves_frozen
md5: e9d1a3958270cf8b5cf836d0d0e0c8e4.dir
size: 60576
nfiles: 11
- path: logs/gloves_frozen.json
md5: 983f1e209822cff4a224c0bdcbbe95a3
size: 342
classifiers@imagenet_frozen:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 -e MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}\
\ -e MLFLOW_TRACKING_USERNAME=${MLFLOW_TRACKING_USERNAME} -e MLFLOW_TRACKING_PASSWORD=${MLFLOW_TRACKING_PASSWORD}\
\ -e MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL} -e AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}\
\ -e AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} -e WANDB_API_KEY=${WANDB_API_KEY}\
\ --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true etheredgeb/gloves:custom-tensorflow-2.7.0\
\ python gloves/gloves/classifier.py --encoder-model-path /app/gloves/artifacts/models/siamese_cosine_distance/encoder\
\ --train-dir /app/gloves/artifacts/train --test-dir /app/gloves/artifacts/test\
\ --param-path /app/gloves/params.yaml --param-parent-key classifier --out-model-path\
\ /app/gloves/artifacts/models/gloves_imagenet_frozen --out-label-encoder-path\
\ /app/gloves/artifacts/models/gloves_imagenet_frozen_label_encoder.joblib --out-metrics-path\
\ /app/gloves/logs/imagenet_frozen --use-imagenet true --is-frozen true\n"
deps:
- path: artifacts/models/siamese_cosine_distance/encoder
md5: a1356ef477d8f3ba3e7c3aa0cb94f6d2.dir
size: 6133141
nfiles: 4
- path: artifacts/test
md5: b4837ae96a2ca3976e9c5c776d4b557d.dir
size: 79015432
nfiles: 739
- path: artifacts/train
md5: cdd147d2867963c98b603c29c31a1042.dir
size: 711881907
nfiles: 6651
- path: gloves/classifier.py
md5: 2773041fd8b42f6201f740446eae5428
size: 6751
params:
params.yaml:
classifier:
batch_size: 32
epochs: 200
verbose: 1
outs:
- path: artifacts/models/gloves_imagenet_frozen
md5: 30b4c2c3599184659822361ad5e11038.dir
size: 18188020
nfiles: 4
- path: artifacts/models/gloves_imagenet_frozen_label_encoder.joblib
md5: 38667ce457ab1f450710e92cad517df4
size: 1331
- path: logs/imagenet_frozen
md5: e7e8663cb2f5f12bea76a5c8fec334a7.dir
size: 73429
nfiles: 11
- path: logs/imagenet_frozen.json
md5: a849207140a4a6acd150c37d6a6e5ff2
size: 364
classifiers@gloves_unfrozen:
cmd: "docker run -v ${PWD}:/app/gloves --user 1000:1000 -e MLFLOW_TRACKING_URI=${MLFLOW_TRACKING_URI}\
\ -e MLFLOW_TRACKING_USERNAME=${MLFLOW_TRACKING_USERNAME} -e MLFLOW_TRACKING_PASSWORD=${MLFLOW_TRACKING_PASSWORD}\
\ -e MLFLOW_S3_ENDPOINT_URL=${MLFLOW_S3_ENDPOINT_URL} -e AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}\
\ -e AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY} -e WANDB_API_KEY=${WANDB_API_KEY}\
\ --gpus all -e TF_FORCE_GPU_ALLOW_GROWTH=true etheredgeb/gloves:custom-tensorflow-2.7.0\
\ python gloves/gloves/classifier.py --encoder-model-path /app/gloves/artifacts/models/siamese_cosine_distance/encoder\
\ --train-dir /app/gloves/artifacts/train --test-dir /app/gloves/artifacts/test\
\ --param-path /app/gloves/params.yaml --param-parent-key classifier --out-model-path\
\ /app/gloves/artifacts/models/gloves_encoder_unfrozen --out-label-encoder-path\
\ /app/gloves/artifacts/models/gloves_encoder_unfrozen_label_encoder.joblib\
\ --out-metrics-path /app/gloves/logs/gloves_unfrozen --use-imagenet false --is-frozen\
\ false\n"
deps:
- path: artifacts/models/siamese_cosine_distance/encoder
md5: a1356ef477d8f3ba3e7c3aa0cb94f6d2.dir
size: 6133141
nfiles: 4
- path: artifacts/test
md5: b4837ae96a2ca3976e9c5c776d4b557d.dir
size: 79015432
nfiles: 739
- path: artifacts/train
md5: cdd147d2867963c98b603c29c31a1042.dir
size: 711881907
nfiles: 6651
- path: gloves/classifier.py
md5: 2773041fd8b42f6201f740446eae5428
size: 6751
params:
params.yaml:
classifier:
batch_size: 32
epochs: 200
verbose: 1
outs:
- path: artifacts/models/gloves_encoder_unfrozen
md5: 23d21e3fd239ff6d77bd746ed99147fc.dir
size: 17019346
nfiles: 4
- path: artifacts/models/gloves_encoder_unfrozen_label_encoder.joblib
md5: 38667ce457ab1f450710e92cad517df4
size: 1331
- path: logs/gloves_unfrozen
md5: 0f6c11fd8d600f453c132e612137e570.dir
size: 30986
nfiles: 11
- path: logs/gloves_unfrozen.json
md5: 2606e156a0e18dd42c7cdc60304a3146
size: 400
siamese@l2_distance:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --loss l2 --param-path params.yaml --param-parent-key siamese --out-model-path\
\ artifacts/models/siamese_l2_distance/model --out-encoder-path artifacts/models/siamese_l2_distance/encoder\
\ --out-metrics-path logs/l2_distance_siamese_logs --out-summaries-path logs/l2_distance_siamese_summaries\n"
deps:
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/main.py
md5: 48a7913da59a65830b9b854c0d27eda3
size: 15251
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
siamese:
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_layers: 0
dense_nodes: 1024
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
activation: sigmoid
latent_nodes: 32
dropout_rate: 0.0
final_activation: linear
lr: 0.0001
optimizer: adam
epochs: 1000
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: false
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/models/siamese_l2_distance/encoder
md5: c6428aa1c5808b738e977adf0925a7d2.dir
size: 6111486
nfiles: 4
- path: artifacts/models/siamese_l2_distance/model
md5: 596238779dcc8f884fd0a3430a497267.dir
size: 17038348
nfiles: 4
- path: logs/l2_distance_siamese_logs
md5: bb7ebc01b344f063461e2c731eb5ff92.dir
size: 275934
nfiles: 10
- path: logs/l2_distance_siamese_logs.json
md5: f2665969acd34580ef7d72461c168383
size: 405
- path: logs/l2_distance_siamese_summaries
md5: 4d9acecc104915de33e74f39afd47404.dir
size: 13441
nfiles: 3
siamese@cosine_distance:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --loss cosine --param-path params.yaml --param-parent-key siamese --out-model-path\
\ artifacts/models/siamese_cosine_distance/model --out-encoder-path artifacts/models/siamese_cosine_distance/encoder\
\ --out-metrics-path logs/cosine_distance_siamese_logs --out-summaries-path\
\ logs/cosine_distance_siamese_summaries\n"
deps:
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/main.py
md5: 48a7913da59a65830b9b854c0d27eda3
size: 15251
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
siamese:
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_layers: 0
dense_nodes: 1024
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
activation: sigmoid
latent_nodes: 32
dropout_rate: 0.0
final_activation: linear
lr: 0.0001
optimizer: adam
epochs: 1000
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: false
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/models/siamese_cosine_distance/encoder
md5: ba1f3acd8db6e02b45574a8bcf35ecd7.dir
size: 6110261
nfiles: 4
- path: artifacts/models/siamese_cosine_distance/model
md5: bca2cf4a91c8621d8373615155b7ae4f.dir
size: 17055189
nfiles: 4
- path: logs/cosine_distance_siamese_logs
md5: 37cbace185258b09e73b5f871eb8b2f8.dir
size: 64794
nfiles: 10
- path: logs/cosine_distance_siamese_logs.json
md5: 4fe358a59ac2476a2e71b60de524342c
size: 427
- path: logs/cosine_distance_siamese_summaries
md5: 553c8fb22a63d5882d59462dc4c0d4de.dir
size: 13441
nfiles: 3
siamese@l1_distance:
cmd: "python gloves/main.py --train-dir artifacts/train --test-dir artifacts/test\
\ --loss l1 --param-path params.yaml --param-parent-key siamese --out-model-path\
\ artifacts/models/siamese_l1_distance/model --out-encoder-path artifacts/models/siamese_l1_distance/encoder\
\ --out-metrics-path logs/l1_distance_siamese_logs --out-summaries-path logs/l1_distance_siamese_summaries\n"
deps:
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/main.py
md5: 48a7913da59a65830b9b854c0d27eda3
size: 15251
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
siamese:
height: 224
width: 224
depth: 3
mutate_anchor: true
mutate_other: true
dense_layers: 0
dense_nodes: 1024
dense_reg_rate: 0.001
conv_reg_rate: 0.0001
activation: sigmoid
latent_nodes: 32
dropout_rate: 0.0
final_activation: linear
lr: 0.0001
optimizer: adam
epochs: 1000
batch_size: 32
verbose: 0
eval_freq: 1
reduce_lr_factor: 0.1
reduce_lr_patience: 20
early_stop_patience: 50
mixed_precision: false
nway_freq: 20
nways: 32
use_batch_norm: true
outs:
- path: artifacts/models/siamese_l1_distance/encoder
md5: 968f0cdfca57d1710a775a2c442d1507.dir
size: 6111486
nfiles: 4
- path: artifacts/models/siamese_l1_distance/model
md5: 32c7b91db204cba92ab91b3d6bc397c8.dir
size: 17036536
nfiles: 4
- path: logs/l1_distance_siamese_logs
md5: 1e4a2f3d53337680d9902fde14c32565.dir
size: 221458
nfiles: 10
- path: logs/l1_distance_siamese_logs.json
md5: 6847f461e5553de3bf4f967da83c4d69
size: 401
- path: logs/l1_distance_siamese_summaries
md5: a448bb0fd8ddd75e748840310b1a944b.dir
size: 13441
nfiles: 3
classifier@gloves_unfrozen:
cmd: "python gloves/classifier.py --encoder-model-path artifacts/models/siamese_l2_distance/encoder\
\ --train-dir artifacts/train --test-dir artifacts/test --param-path params.yaml\
\ --param-parent-key classifier --out-model-path artifacts/models/gloves_encoder_unfrozen\
\ --out-label-encoder-path artifacts/models/gloves_encoder_unfrozen_label_encoder.joblib\
\ --out-metrics-path logs/gloves_unfrozen --mixed-precision false --use-imagenet\
\ false --is-frozen false\n"
deps:
- path: artifacts/models/siamese_l2_distance/encoder
md5: c6428aa1c5808b738e977adf0925a7d2.dir
size: 6111486
nfiles: 4
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/classifier.py
md5: 7614bb5509e3a0065e828e9692e21624
size: 6411
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
classifier:
batch_size: 32
epochs: 1000
verbose: 1
dropout_rate: 0.0
outs:
- path: artifacts/models/gloves_encoder_unfrozen
md5: f1ed100f8a26218b8deae8798bf0e72d.dir
size: 16976260
nfiles: 4
- path: artifacts/models/gloves_encoder_unfrozen_label_encoder.joblib
md5: 8c898b6efdb4b0471148e7f047079012
size: 1382
- path: logs/gloves_unfrozen
md5: b7e7e9dd2f0b41a2c23e9083e72c7a12.dir
size: 21437
nfiles: 11
- path: logs/gloves_unfrozen.json
md5: 252c326e7f94afc4007514cc4dd2f63a
size: 398
classifier@imagenet_frozen:
cmd: "python gloves/classifier.py --encoder-model-path artifacts/models/siamese_l2_distance/encoder\
\ --train-dir artifacts/train --test-dir artifacts/test --param-path params.yaml\
\ --param-parent-key classifier --out-model-path artifacts/models/gloves_imagenet_frozen\
\ --out-label-encoder-path artifacts/models/gloves_imagenet_frozen_label_encoder.joblib\
\ --out-metrics-path logs/imagenet_frozen --mixed-precision false --use-imagenet\
\ true --is-frozen true\n"
deps:
- path: artifacts/models/siamese_l2_distance/encoder
md5: c6428aa1c5808b738e977adf0925a7d2.dir
size: 6111486
nfiles: 4
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/classifier.py
md5: 7614bb5509e3a0065e828e9692e21624
size: 6411
- path: gloves/models/imagenet.py
md5: 0bde7bd05a7082985d72d1d2aa7b2e3e
size: 552
params:
params.yaml:
classifier:
batch_size: 32
epochs: 1000
verbose: 1
dropout_rate: 0.0
outs:
- path: artifacts/models/gloves_imagenet_frozen
md5: b1bcdd8775b72c1097cc535196184a3f.dir
size: 406596370
nfiles: 4
- path: artifacts/models/gloves_imagenet_frozen_label_encoder.joblib
md5: 8c898b6efdb4b0471148e7f047079012
size: 1382
- path: logs/imagenet_frozen
md5: 441dbc53325edf954d52eb3bc029b7f1.dir
size: 26584
nfiles: 11
- path: logs/imagenet_frozen.json
md5: 0e4aef0e954024dca70d4e2c46d71732
size: 343
classifier@imagenet_unfrozen:
cmd: "python gloves/classifier.py --encoder-model-path artifacts/models/siamese_l2_distance/encoder\
\ --train-dir artifacts/train --test-dir artifacts/test --param-path params.yaml\
\ --param-parent-key classifier --out-model-path artifacts/models/gloves_imagenet_unfrozen\
\ --out-label-encoder-path artifacts/models/gloves_imagenet_unfrozen_label_encoder.joblib\
\ --out-metrics-path logs/imagenet_unfrozen --mixed-precision false --use-imagenet\
\ true --is-frozen false\n"
deps:
- path: artifacts/models/siamese_l2_distance/encoder
md5: c6428aa1c5808b738e977adf0925a7d2.dir
size: 6111486
nfiles: 4
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/classifier.py
md5: 7614bb5509e3a0065e828e9692e21624
size: 6411
- path: gloves/models/imagenet.py
md5: 0bde7bd05a7082985d72d1d2aa7b2e3e
size: 552
params:
params.yaml:
classifier:
batch_size: 32
epochs: 1000
verbose: 1
dropout_rate: 0.0
outs:
- path: artifacts/models/gloves_imagenet_unfrozen
md5: 32ecdb6f79eae3834648be3bec69f555.dir
size: 595460390
nfiles: 4
- path: artifacts/models/gloves_imagenet_unfrozen_label_encoder.joblib
md5: 8c898b6efdb4b0471148e7f047079012
size: 1382
- path: logs/imagenet_unfrozen
md5: 38475fca273366377ad23f4190ea128e.dir
size: 22706
nfiles: 11
- path: logs/imagenet_unfrozen.json
md5: 4f7cc6bc6dc5253769e8855091e666fe
size: 401
classifier@gloves_frozen:
cmd: "python gloves/classifier.py --encoder-model-path artifacts/models/siamese_l2_distance/encoder\
\ --train-dir artifacts/train --test-dir artifacts/test --param-path params.yaml\
\ --param-parent-key classifier --out-model-path artifacts/models/gloves_encoder_frozen\
\ --out-label-encoder-path artifacts/models/gloves_encoder_frozen_label_encoder.joblib\
\ --out-metrics-path logs/gloves_frozen --mixed-precision false --use-imagenet\
\ false --is-frozen true\n"
deps:
- path: artifacts/models/siamese_l2_distance/encoder
md5: c6428aa1c5808b738e977adf0925a7d2.dir
size: 6111486
nfiles: 4
- path: artifacts/test
md5: a20540d8f3e274428e5e17569889ef82.dir
size: 289325967
nfiles: 1500
- path: artifacts/train
md5: fb1466df99b131af39a3f1803bbbf35b.dir
size: 1337583692
nfiles: 6002
- path: gloves/classifier.py
md5: 7614bb5509e3a0065e828e9692e21624
size: 6411
- path: gloves/models/custom_model.py
md5: 74184c53d64a358f3ad592750aea265e
size: 10801
params:
params.yaml:
classifier:
batch_size: 32
epochs: 1000
verbose: 1
dropout_rate: 0.0
outs:
- path: artifacts/models/gloves_encoder_frozen
md5: b43cdcfed2522cd2ceb673b561b3c669.dir
size: 6418065
nfiles: 4
- path: artifacts/models/gloves_encoder_frozen_label_encoder.joblib
md5: 8c898b6efdb4b0471148e7f047079012
size: 1382
- path: logs/gloves_frozen
md5: c716b9295ac1db9fdd936f550810b593.dir
size: 18095
nfiles: 11
- path: logs/gloves_frozen.json
md5: 224ef658732d496b978a048c64c5cd6d
size: 399
get_my_pets: