Kaggle competition: Severstal: Steel Defect Detection
<SOS> metric: Dice Kaggle data source: severstal:-steel-defect-detection<categorify>
import os
import json
import gc
import cv2
import keras
from keras.models import load_model
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sys
<categorify><EOS> 
df = pd.read_csv('.. /input/severstal-steel-defect-detection/sample_submission.csv')
 df.set_index('ImageId_ClassId', inplace=True)
 df_submit = pd.read_csv(".. /input/ece285-sub/unet_res.csv")
 df_submit.set_index('ImageId_ClassId', inplace=True)
 9
for name, row in df_submit.iterrows() :
df.loc[name] = row
df.reset_index(inplace=True)
 df.to_csv('submission.csv', index=False )