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Add command line args for quantized web model #52

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Mar 3, 2020
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Add command line args for quantized web model #52

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10 changes: 9 additions & 1 deletion training/train_all_models.cmd
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,8 @@
python make_nsfw_model.py --image_dir %cd%\..\images --image_size 224 --saved_model_dir %cd%\..\trained_models\mobilenet_v2_140_224 --labels_output_file %cd%\..\trained_models\mobilenet_v2_140_224\class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/4 --tflite_output_file %cd%\..\trained_models\mobilenet_v2_140_224\saved_model.tflite --train_epochs 5 --batch_size 32 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
:: Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
:: tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\mobilenet_v2_140_224 %cd%\..\trained_models\mobilenet_v2_140_224\web_model
:: Or, for a quantized (1 byte) version
:: tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\mobilenet_v2_140_224 %cd%\..\trained_models\mobilenet_v2_140_224\web_model_quantized --quantization_bytes 1

:: Wait for Python/CUDA/GPU to recover. Seems to die without this.
Timeout /T 60 /Nobreak
Expand All @@ -20,6 +22,8 @@ Timeout /T 60 /Nobreak
python make_nsfw_model.py --image_dir %cd%\..\images --image_size 224 --saved_model_dir %cd%\..\trained_models\resnet_v2_50_224 --labels_output_file %cd%\..\trained_models\resnet_v2_50_224\class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/resnet_v2_50/classification/4 --tflite_output_file %cd%\..\trained_models\resnet_v2_50_224\saved_model.tflite --train_epochs 5 --batch_size 16 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
:: Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\resnet_v2_50_224 %cd%\..\trained_models\resnet_v2_50_224\web_model
:: Or, for a quantized (1 byte) version
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\resnet_v2_50_224 %cd%\..\trained_models\resnet_v2_50_224\web_model_quantized --quantization_bytes 1

:: Wait for Python/CUDA/GPU to recover. Seems to die without this.
Timeout /T 60 /Nobreak
Expand All @@ -28,11 +32,15 @@ Timeout /T 60 /Nobreak
python make_nsfw_model.py --image_dir %cd%\..\images --image_size 224 --saved_model_dir %cd%\..\trained_models\inception_v3_224 --labels_output_file %cd%\..\trained_models\inception_v3_224\class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/inception_v3/classification/4 --tflite_output_file %cd%\..\trained_models\inception_v3_224\saved_model.tflite --train_epochs 5 --batch_size 16 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
:: Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\inception_v3_224 %cd%\..\trained_models\inception_v3_224\web_model
:: Or, for a quantized (1 byte) version
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\inception_v3_224 %cd%\..\trained_models\inception_v3_224\web_model_quantized --quantization_bytes 1

:: Wait for Python/CUDA/GPU to recover. Seems to die without this.
Timeout /T 60 /Nobreak

:: Train NasNetMobile
python make_nsfw_model.py --image_dir %cd%\..\images --image_size 224 --saved_model_dir %cd%\..\trained_models\nasnet_a_224 --labels_output_file %cd%\..\trained_models\nasnet_a_224\class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/nasnet_mobile/classification/4 --tflite_output_file %cd%\..\trained_models\nasnet_a_224\saved_model.tflite --train_epochs 5 --batch_size 24 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
:: Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\nasnet_a_224 %cd%\..\trained_models\nasnet_a_224\web_modely
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\nasnet_a_224 %cd%\..\trained_models\nasnet_a_224\web_modely
:: Or, for a quantized (1 byte) version
::tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve %cd%\..\trained_models\nasnet_a_224 %cd%\..\trained_models\nasnet_a_224\web_modely_quantized --quantization_bytes 1
14 changes: 11 additions & 3 deletions training/train_all_models.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -13,27 +13,35 @@
python3 make_nsfw_model.py --image_dir $PWD/../images --image_size 224 --saved_model_dir $PWD/../trained_models/mobilenet_v2_140_224 --labels_output_file $PWD/../trained_models/mobilenet_v2_140_224/class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/4 --tflite_output_file $PWD/../trained_models/mobilenet_v2_140_224/saved_model.tflite --train_epochs 5 --batch_size 32 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
# Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
# tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/mobilenet_v2_140_224 $PWD/../trained_models/mobilenet_v2_140_224/web_model
# Or, for a quantized (1 byte) version
# tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/mobilenet_v2_140_224 $PWD/../trained_models/mobilenet_v2_140_224/web_model_quantized --quantization_bytes 1

# Wait for Python/CUDA/GPU to recover. Seems to die without this.
sleep 60

# Train Resnet V2 50
python3 make_nsfw_model.py --image_dir $PWD/../images --image_size 224 --saved_model_dir $PWD/../trained_models/resnet_v2_50_224 --labels_output_file $PWD/../trained_models/resnet_v2_50_224/class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/resnet_v2_50/classification/4 --tflite_output_file $PWD/../trained_models/resnet_v2_50_224/saved_model.tflite --train_epochs 5 --batch_size 16 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
# Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
# tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/resnet_v2_50_224 $PWD/../trained_models/resnet_v2_50_224/web_model
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/resnet_v2_50_224 $PWD/../trained_models/resnet_v2_50_224/web_model
# Or, for a quantized (1 byte) version
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/resnet_v2_50_224 $PWD/../trained_models/resnet_v2_50_224/web_model_quantized --quantization_bytes 1

# Wait for Python/CUDA/GPU to recover. Seems to die without this.
sleep 60

# Train Inception V3
python3 make_nsfw_model.py --image_dir $PWD/../images --image_size 224 --saved_model_dir $PWD/../trained_models/inception_v3_224 --labels_output_file $PWD/../trained_models/inception_v3_224/class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/inception_v3/classification/4 --tflite_output_file $PWD/../trained_models/inception_v3_224/saved_model.tflite --train_epochs 5 --batch_size 16 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
# Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
# tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/inception_v3_224 $PWD/../trained_models/inception_v3_224/web_model
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/inception_v3_224 $PWD/../trained_models/inception_v3_224/web_model
# Or, for a quantized (1 byte) version
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/inception_v3_224 $PWD/../trained_models/inception_v3_224/web_model_quantized --quantization_bytes 1

# Wait for Python/CUDA/GPU to recover. Seems to die without this.
sleep 60

# Train NasNetMobile
python3 make_nsfw_model.py --image_dir $PWD/../images --image_size 224 --saved_model_dir $PWD/../trained_models/nasnet_a_224 --labels_output_file $PWD/../trained_models/nasnet_a_224/class_labels.txt --tfhub_module https://tfhub.dev/google/imagenet/nasnet_mobile/classification/4 --tflite_output_file $PWD/../trained_models/nasnet_a_224/saved_model.tflite --train_epochs 5 --batch_size 24 --do_fine_tuning --learning_rate 0.001 --dropout_rate 0.0 --momentum 0.9
# Note that installing tensorflowjs also installs tensorflow-cpu A.K.A. bye-bye-training.
# tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/nasnet_a_224 $PWD/../trained_models/nasnet_a_224/web_modely
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/nasnet_a_224 $PWD/../trained_models/nasnet_a_224/web_modely
# Or, for a quantized (1 byte) version
#tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --signature_name=serving_default --saved_model_tags=serve $PWD/../trained_models/nasnet_a_224 $PWD/../trained_models/nasnet_a_224/web_modely_quantized --quantization_bytes 1