ds_toolkits_project Workspace

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import data_preparation 
import codepy.data_preparation as data_preparation 
import build_model as build
import codepy.build_model as build
import model_inspection as inspection
import codepy.model_inspection as inspection
import predictions
import codepy.predictions as predictions
import database_pg
import codepy.database_pg as database_pg

if __name__ == "__main__":
    data_preparation.initialize_wandb()
    num_classes, input_shape, x_train, y_train, x_test, y_test = data_preparation.prepare_data()
    #Comment form here..
    # model = build.build_model(num_classes, input_shape)
    model = build.build_model(num_classes, input_shape)
    # build.train_model(x_train, y_train, x_test, y_test, model)
    build.train_model(x_train, y_train, x_test, y_test, model)
    # inspection.save_model(model)
    inspection.save_model(model)
    #..To here for testing purposes 
    loaded_model = inspection.load_model()
    inspection.evaluate_loaded_model(x_test, y_test, loaded_model)
    # predictions.predict_on_data(x_test, y_test, loaded_model)
    database_pg.create_milestone3_db()
    database_pg.create_input_pred_db()
    random_img_x, squeezed_random_img_x, img_from_db = database_pg.insert_load_random_image()
    database_pg.predict_and_persist(img_from_db, loaded_model)

1		-	import d ata_preparation
	1	+	import co d epy.d ata_preparation as data_preparation
2		-	import build_model as build
	2	+	import codepy. build_model as build
3		-	import model_inspection as inspection
	3	+	import codepy. model_inspection as inspection
4		-	import p redictions
	4	+	import code p y.p redictions as predictions
5		-	import d atabase_pg
	5	+	import co d epy.d atabase_pg as database_pg
6	6
7	7		if __name__ == "__main__":
8	8		data_preparation.initialize_wandb()
9	9		num_classes, input_shape, x_train, y_train, x_test, y_test = data_preparation.prepare_data()
10	10		#Comment form here..
11		-	# model = build.build_model(num_classes, input_shape)
	11	+	model = build.build_model(num_classes, input_shape)
12		-	# build.train_model(x_train, y_train, x_test, y_test, model)
	12	+	build.train_model(x_train, y_train, x_test, y_test, model)
13		-	# inspection.save_model(model)
	13	+	inspection.save_model(model)
14	14		#..To here for testing purposes
15	15		loaded_model = inspection.load_model()
16	16		inspection.evaluate_loaded_model(x_test, y_test, loaded_model)
17	17		# predictions.predict_on_data(x_test, y_test, loaded_model)
18	18		database_pg.create_milestone3_db()
19	19		database_pg.create_input_pred_db()
20	20		random_img_x, squeezed_random_img_x, img_from_db = database_pg.insert_load_random_image()
21	21		database_pg.predict_and_persist(img_from_db, loaded_model)