optimized for better tabular representation

an extention of previous commit for having better readability of csv file

.ipynb_checkpoints/coverdata-checkpoint.csv

@@ -0,0 +1,7 @@
+METRIC,PSNR,SSIM,CC,DATASET
+Max,40.86297679,0.983252489,0.999381129,SIPI
+Min,37.42230694,0.956893649,0.995526841,SIPI
+Mean,39.29749284,0.97397383,0.997915209,SIPI
+Max,40.862976791801245,0.9832524892556972,0.9993811288816858,SIPI
+Min,37.42230694013433,0.9568936492232867,0.9955268406692906,SIPI
+Mean,39.29749283694743,0.9739738302821098,0.9979152088287259,SIPI

coverdata.csv

@@ -1,7 +1,4 @@
 METRIC,PSNR,SSIM,CC,DATASET
-Max,40.86297679,0.983252489,0.999381129,SIPI
-Min,37.42230694,0.956893649,0.995526841,SIPI
-Mean,39.29749284,0.97397383,0.997915209,SIPI
 Max,40.862976791801245,0.9832524892556972,0.9993811288816858,SIPI
 Min,37.42230694013433,0.9568936492232867,0.9955268406692906,SIPI
-Mean,39.29749283694743,0.9739738302821098,0.9979152088287259,SIPI
+Mean,39.29749283694742,0.9739738302821098,0.9979152088287259,SIPI

impercepCOVER.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "39c19660",
    "metadata": {},
    "outputs": [],
@@ -16,12 +16,14 @@
     "from skimage.metrics import structural_similarity as ssim\n",
     "from skimage.metrics import peak_signal_noise_ratio as psnr\n",
     "\n",
-    "datasetNAME = 'SIPI'"
+    "datasetNAME = 'SIPI'\n",
+    "if not os.path.exists('coverdata.csv'):\n",
+    "    pd.DataFrame(columns=['METRIC','PSNR','SSIM','CC','DATASET']).to_csv('coverdata.csv', index=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "id": "37faf688-c42a-49bd-a7ad-dcce66a0f797",
    "metadata": {},
    "outputs": [],
@@ -49,16 +51,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "f6cadd04",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: total: 11.2 s\n",
-      "Wall time: 1.16 s\n"
+      "CPU times: total: 11.3 s\n",
+      "Wall time: 1.18 s\n"
      ]
     }
    ],
@@ -139,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 8,
    "id": "2a67abc7-6e85-4079-bfa4-9f8d300ab4ee",
    "metadata": {},
    "outputs": [
@@ -207,7 +209,7 @@
        "2   Mean  39.297493  0.973974  0.997915    SIPI"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }