def train_model(train_data, target_path, extracted_pixels_by_mean_shape, mean_shape):
regressors = []
for i in range(Cascades):
curr_regr = Regressor(mean_shape, extracted_pixels_by_mean_shape)
curr_regr.train(train_data)
regressors.append(curr_regr)
print("Finished regressor number 1")
with open(target_path, 'wb') as target:
pickle.dump(regressors, target)
