Venelin Valkov curiousily

curiousily / ts-cls-create-ds.py

Created April 23, 2020 19:40

	def create_dataset(X, y, time_steps=1, step=1):
	Xs, ys = [], []
	for i in range(0, len(X) - time_steps, step):
	v = X.iloc[i:(i + time_steps)].values
	labels = y.iloc[i: i + time_steps]
	Xs.append(v)
	ys.append(stats.mode(labels)[0][0])
	return np.array(Xs), np.array(ys).reshape(-1, 1)

curiousily / ts-cls-scale.py

Created April 23, 2020 19:40

	scale_columns = ['x_axis', 'y_axis', 'z_axis']

	scaler = RobustScaler()

	scaler = scaler.fit(df_train[scale_columns])

	df_train.loc[:, scale_columns] = scaler.transform(
	df_train[scale_columns].to_numpy()
	)

curiousily / ts-cls-split.py

Created April 23, 2020 19:39

	df_train = df[df['user_id'] <= 30]
	df_test = df[df['user_id'] > 30]

curiousily / ts-cls-read.py

Created April 23, 2020 19:36

curiousily / fd-annotate-test.py

Created February 17, 2020 21:15

	os.makedirs("annotated_results", exist_ok=True)

	test_image_paths = test_df.file_name.unique()
	for clothing_image in test_image_paths:
	file_path = f'{IMAGES_PATH}/{clothing_image}'
	im = cv2.imread(file_path)
	outputs = predictor(im)
	v = Visualizer(
	im[:, :, ::-1],
	metadata=statement_metadata,

curiousily / fd-evaluate.py

Created February 17, 2020 21:14

	evaluator = COCOEvaluator("faces_val", cfg, False, output_dir="./output/")
	val_loader = build_detection_test_loader(cfg, "faces_val")
	inference_on_dataset(trainer.model, val_loader, evaluator)

curiousily / fd-predictor.py

Created February 17, 2020 21:14

	cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, "model_final.pth")
	cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.85
	predictor = DefaultPredictor(cfg)

curiousily / fd-train.py

Created February 17, 2020 21:12

	os.makedirs(cfg.OUTPUT_DIR, exist_ok=True)

	trainer = CocoTrainer(cfg)
	trainer.resume_or_load(resume=False)
	trainer.train()

curiousily / fd-cfg-classes.py

Created February 17, 2020 21:12

	cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 64
	cfg.MODEL.ROI_HEADS.NUM_CLASSES = len(classes)

	cfg.TEST.EVAL_PERIOD = 500

curiousily / df-cfg-solver.py

Created February 17, 2020 21:11