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Initial commit of clean, working project
d576da9
schema: '2.0'
stages:
data_ingestion:
cmd: python src/cnnClassifier/pipeline/stage_01_data_ingestion.py
deps:
- path: config/config.yaml
hash: md5
md5: d4c6e6a52ca35ea93094c3e1a421499e
size: 578
- path: src/cnnClassifier/pipeline/stage_01_data_ingestion.py
hash: md5
md5: bad788253475f50d44fdaa7237967b49
size: 883
outs:
- path: artifacts/data_ingestion/Chest-CT-Scan-data
hash: md5
md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
size: 49247431
nfiles: 343
prepare_base_model:
cmd: python src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
deps:
- path: config/config.yaml
hash: md5
md5: d4c6e6a52ca35ea93094c3e1a421499e
size: 578
- path: src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
hash: md5
md5: 30c63470719d961e32045908b7c0772d
size: 966
params:
params.yaml:
CLASSES: 2
IMAGE_SIZE:
- 224
- 224
- 3
INCLUDE_TOP: false
LEARNING_RATE: 0.001
WEIGHTS: imagenet
outs:
- path: artifacts/prepare_base_model
hash: md5
md5: 4aa2611cd37984c188512d3a19c6942b.dir
size: 118054560
nfiles: 2
training:
cmd: python src/cnnClassifier/pipeline/stage_03_model_trainer.py
deps:
- path: artifacts/data_ingestion/Chest-CT-Scan-data
hash: md5
md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
size: 49247431
nfiles: 343
- path: artifacts/prepare_base_model
hash: md5
md5: 4aa2611cd37984c188512d3a19c6942b.dir
size: 118054560
nfiles: 2
- path: config/config.yaml
hash: md5
md5: d4c6e6a52ca35ea93094c3e1a421499e
size: 578
- path: src/cnnClassifier/pipeline/stage_03_model_trainer.py
hash: md5
md5: c33e23d2c123f157b2ab007c8e9d938f
size: 893
params:
params.yaml:
AUGMENTATION: true
BATCH_SIZE: 16
EPOCHS: 10
IMAGE_SIZE:
- 224
- 224
- 3
outs:
- path: artifacts/training/model.h5
hash: md5
md5: 233944d4fbed7856cf28be27c602014d
size: 59337520
evaluation:
cmd: python src/cnnClassifier/pipeline/stage_04_model_evaluation.py
deps:
- path: artifacts/data_ingestion/Chest-CT-Scan-data
hash: md5
md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
size: 49247431
nfiles: 343
- path: artifacts/training/model.h5
hash: md5
md5: 233944d4fbed7856cf28be27c602014d
size: 59337520
- path: config/config.yaml
hash: md5
md5: d4c6e6a52ca35ea93094c3e1a421499e
size: 578
- path: src/cnnClassifier/pipeline/stage_04_model_evaluation.py
hash: md5
md5: d20a1645fd93cae9c7c0cecd8a0d4a2a
size: 1188
params:
params.yaml:
BATCH_SIZE: 16
IMAGE_SIZE:
- 224
- 224
- 3
outs:
- path: scores.json
hash: md5
md5: 2c6b298a9827df6c174dc1bbbf40d040
size: 59