# Path: utils/udacity_data.py
# TRAIN_IMG_PREFIX = "/usr/local/google/home/limeng/Downloads/udacity/ch2_002/output/HMB_%s/"
# TRAIN_CSV = "/usr/local/google/home/limeng/Downloads/udacity/ch2_002/output/HMB_%s/interpolated.csv"
# VAL_IMG_PREFIX = "/usr/local/google/home/limeng/Downloads/udacity/test/HMB_3/"
# VAL_CSV = "/usr/local/google/home/limeng/Downloads/udacity/test/HMB_3/interpolated.csv"
# NUM_TRAIN_IMAGES = 33808
# NUM_VAL_IMAGES = 5279
# def read_csv(csv_file_name, img_prefix):
# def read_data(shuffe=True):
# def load_train_batch(batch_size):
# def load_val_batch(batch_size):
# def main(_):


import os
import tensorflow as tf
import model
from utils import udacity_data
# nohup python -u -m self_driving.steering.train > self_driving/steering/output.txt 2>&1 &


LOG_DIR = 'save'
EPOCH = 32
BATCH_SIZE = 128
LEARNING_RATE = 1e-3

# Path: utils/udacity_data.py
# TRAIN_IMG_PREFIX = "/usr/local/google/home/limeng/Downloads/udacity/ch2_002/output/HMB_%s/"
# TRAIN_CSV = "/usr/local/google/home/limeng/Downloads/udacity/ch2_002/output/HMB_%s/interpolated.csv"
# VAL_IMG_PREFIX = "/usr/local/google/home/limeng/Downloads/udacity/test/HMB_3/"
# VAL_CSV = "/usr/local/google/home/limeng/Downloads/udacity/test/HMB_3/interpolated.csv"
# NUM_TRAIN_IMAGES = 33808
# NUM_VAL_IMAGES = 5279
# def read_csv(csv_file_name, img_prefix):
# def read_data(shuffe=True):
# def load_train_batch(batch_size):
# def load_val_batch(batch_size):
# def main(_):


# Path: self_driving/steering/train.py
import os
import tensorflow as tf
import model
from utils import udacity_data

# nohup python -u -m self_driving.steering.train > self_driving/steering/output.txt 2>&1 &


LOG_DIR = 'save'
EPOCH = 32
BATCH_SIZE = 128
LEARNING_RATE = 1e-3

STEP_PER_EPOCH = udacity_data.NUM_TRAIN_IMAGES / BATCH_SIZE