From 09dd340e42d70d006147aed20d26972ae3707a11 Mon Sep 17 00:00:00 2001
From: "Jean-Luc.Parouty@grenoble-inp.fr" <paroutyj@f-dahu.u-ga.fr>
Date: Fri, 28 Feb 2020 22:36:34 +0100
Subject: [PATCH] SYNOP tests
---
GTSRB/07-Full-convolutions-reports.ipynb | 518 ++++++++++++++---------
SYNOP/01-Deep-weather.ipynb | 344 +++++++++++++++
2 files changed, 654 insertions(+), 208 deletions(-)
create mode 100644 SYNOP/01-Deep-weather.ipynb
diff --git a/GTSRB/07-Full-convolutions-reports.ipynb b/GTSRB/07-Full-convolutions-reports.ipynb
index d152ed7..3cc2719 100644
--- a/GTSRB/07-Full-convolutions-reports.ipynb
+++ b/GTSRB/07-Full-convolutions-reports.ipynb
@@ -86,7 +86,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -105,97 +105,97 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- " #T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col2 {\n",
+ " #T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col2 {\n",
" background-color: yellow;\n",
- " } #T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col4 {\n",
+ " } #T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col4 {\n",
" background-color: yellow;\n",
- " } #T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col6 {\n",
+ " } #T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col6 {\n",
" background-color: yellow;\n",
- " }</style><table id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77be\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
+ " }</style><table id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col2\" class=\"data row0 col2\" >95.53 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col3\" class=\"data row0 col3\" >52.5 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col4\" class=\"data row0 col4\" >96.37 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col5\" class=\"data row0 col5\" >55.3 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col6\" class=\"data row0 col6\" >95.85 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow0_col7\" class=\"data row0 col7\" >54.5 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >95.53 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >52.5 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col4\" class=\"data row0 col4\" >96.37 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col5\" class=\"data row0 col5\" >55.3 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col6\" class=\"data row0 col6\" >95.85 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row0_col7\" class=\"data row0 col7\" >54.5 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col2\" class=\"data row1 col2\" >96.58 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col3\" class=\"data row1 col3\" >49.4 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col4\" class=\"data row1 col4\" >97.65 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col5\" class=\"data row1 col5\" >57.5 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col6\" class=\"data row1 col6\" >95.38 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow1_col7\" class=\"data row1 col7\" >56.7 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col2\" class=\"data row1 col2\" >96.58 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col3\" class=\"data row1 col3\" >49.4 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col4\" class=\"data row1 col4\" >97.65 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col5\" class=\"data row1 col5\" >57.5 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col6\" class=\"data row1 col6\" >95.38 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row1_col7\" class=\"data row1 col7\" >56.7 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col2\" class=\"data row2 col2\" >96.68 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col3\" class=\"data row2 col3\" >138.2 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col4\" class=\"data row2 col4\" >98.04 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col5\" class=\"data row2 col5\" >122.5 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col6\" class=\"data row2 col6\" >97.54 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow2_col7\" class=\"data row2 col7\" >95.9 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col2\" class=\"data row2 col2\" >96.68 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col3\" class=\"data row2 col3\" >138.2 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col4\" class=\"data row2 col4\" >98.04 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col5\" class=\"data row2 col5\" >122.5 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col6\" class=\"data row2 col6\" >97.54 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row2_col7\" class=\"data row2 col7\" >95.9 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col2\" class=\"data row3 col2\" >96.10 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col3\" class=\"data row3 col3\" >146.6 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col4\" class=\"data row3 col4\" >97.56 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col5\" class=\"data row3 col5\" >128.8 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col6\" class=\"data row3 col6\" >97.93 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow3_col7\" class=\"data row3 col7\" >104.3 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col2\" class=\"data row3 col2\" >96.10 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col3\" class=\"data row3 col3\" >146.6 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col4\" class=\"data row3 col4\" >97.56 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col5\" class=\"data row3 col5\" >128.8 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col6\" class=\"data row3 col6\" >97.93 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row3_col7\" class=\"data row3 col7\" >104.3 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col2\" class=\"data row4 col2\" >95.89 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col3\" class=\"data row4 col3\" >46.2 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col4\" class=\"data row4 col4\" >97.17 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col5\" class=\"data row4 col5\" >54.8 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col6\" class=\"data row4 col6\" >95.41 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow4_col7\" class=\"data row4 col7\" >55.5 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col2\" class=\"data row4 col2\" >95.89 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col3\" class=\"data row4 col3\" >46.2 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col4\" class=\"data row4 col4\" >97.17 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col5\" class=\"data row4 col5\" >54.8 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col6\" class=\"data row4 col6\" >95.41 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row4_col7\" class=\"data row4 col7\" >55.5 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col2\" class=\"data row5 col2\" >95.19 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col3\" class=\"data row5 col3\" >49.4 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col4\" class=\"data row5 col4\" >96.40 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col5\" class=\"data row5 col5\" >57.9 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col6\" class=\"data row5 col6\" >93.36 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow5_col7\" class=\"data row5 col7\" >57.0 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col2\" class=\"data row5 col2\" >95.19 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col3\" class=\"data row5 col3\" >49.4 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col4\" class=\"data row5 col4\" >96.40 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col5\" class=\"data row5 col5\" >57.9 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col6\" class=\"data row5 col6\" >93.36 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row5_col7\" class=\"data row5 col7\" >57.0 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col2\" class=\"data row6 col2\" >96.42 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col3\" class=\"data row6 col3\" >137.4 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col4\" class=\"data row6 col4\" >97.96 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col5\" class=\"data row6 col5\" >122.4 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col6\" class=\"data row6 col6\" >97.70 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow6_col7\" class=\"data row6 col7\" >94.7 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col2\" class=\"data row6 col2\" >96.42 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col3\" class=\"data row6 col3\" >137.4 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col4\" class=\"data row6 col4\" >97.96 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col5\" class=\"data row6 col5\" >122.4 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col6\" class=\"data row6 col6\" >97.70 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row6_col7\" class=\"data row6 col7\" >94.7 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col2\" class=\"data row7 col2\" >95.50 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col3\" class=\"data row7 col3\" >145.6 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col4\" class=\"data row7 col4\" >98.01 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col5\" class=\"data row7 col5\" >130.0 s</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col6\" class=\"data row7 col6\" >96.48 %</td>\n",
- " <td id=\"T_f7686d38_5a4a_11ea_aadb_7516251a77berow7_col7\" class=\"data row7 col7\" >103.6 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col2\" class=\"data row7 col2\" >95.50 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col3\" class=\"data row7 col3\" >145.6 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col4\" class=\"data row7 col4\" >98.01 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col5\" class=\"data row7 col5\" >130.0 s</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col6\" class=\"data row7 col6\" >96.48 %</td>\n",
+ " <td id=\"T_8ba672d6_5a61_11ea_b801_83191f9a9757row7_col7\" class=\"data row7 col7\" >103.6 s</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f6fa9640310>"
+ "<pandas.io.formats.style.Styler at 0x7f9e08b71d50>"
]
},
"metadata": {},
@@ -217,97 +217,97 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- " #T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col6 {\n",
+ " #T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col6 {\n",
" background-color: yellow;\n",
- " } #T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col4 {\n",
+ " } #T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col4 {\n",
" background-color: yellow;\n",
- " } #T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col2 {\n",
+ " } #T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col2 {\n",
" background-color: yellow;\n",
- " }</style><table id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77be\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
+ " }</style><table id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col2\" class=\"data row0 col2\" >95.55 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col3\" class=\"data row0 col3\" >45.8 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col4\" class=\"data row0 col4\" >96.68 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col5\" class=\"data row0 col5\" >52.1 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col6\" class=\"data row0 col6\" >95.87 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow0_col7\" class=\"data row0 col7\" >53.4 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >95.55 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >45.8 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col4\" class=\"data row0 col4\" >96.68 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col5\" class=\"data row0 col5\" >52.1 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col6\" class=\"data row0 col6\" >95.87 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row0_col7\" class=\"data row0 col7\" >53.4 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col2\" class=\"data row1 col2\" >96.22 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col3\" class=\"data row1 col3\" >47.0 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col4\" class=\"data row1 col4\" >97.34 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col5\" class=\"data row1 col5\" >55.7 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col6\" class=\"data row1 col6\" >95.75 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow1_col7\" class=\"data row1 col7\" >53.4 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col2\" class=\"data row1 col2\" >96.22 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col3\" class=\"data row1 col3\" >47.0 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col4\" class=\"data row1 col4\" >97.34 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col5\" class=\"data row1 col5\" >55.7 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col6\" class=\"data row1 col6\" >95.75 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row1_col7\" class=\"data row1 col7\" >53.4 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col2\" class=\"data row2 col2\" >96.22 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col3\" class=\"data row2 col3\" >136.8 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col4\" class=\"data row2 col4\" >98.00 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col5\" class=\"data row2 col5\" >119.3 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col6\" class=\"data row2 col6\" >97.78 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow2_col7\" class=\"data row2 col7\" >93.4 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col2\" class=\"data row2 col2\" >96.22 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col3\" class=\"data row2 col3\" >136.8 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col4\" class=\"data row2 col4\" >98.00 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col5\" class=\"data row2 col5\" >119.3 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col6\" class=\"data row2 col6\" >97.78 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row2_col7\" class=\"data row2 col7\" >93.4 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col2\" class=\"data row3 col2\" >96.28 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col3\" class=\"data row3 col3\" >144.2 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col4\" class=\"data row3 col4\" >98.60 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col5\" class=\"data row3 col5\" >126.8 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col6\" class=\"data row3 col6\" >97.55 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow3_col7\" class=\"data row3 col7\" >101.9 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col2\" class=\"data row3 col2\" >96.28 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col3\" class=\"data row3 col3\" >144.2 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col4\" class=\"data row3 col4\" >98.60 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col5\" class=\"data row3 col5\" >126.8 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col6\" class=\"data row3 col6\" >97.55 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row3_col7\" class=\"data row3 col7\" >101.9 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col2\" class=\"data row4 col2\" >96.00 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col3\" class=\"data row4 col3\" >45.1 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col4\" class=\"data row4 col4\" >97.12 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col5\" class=\"data row4 col5\" >53.6 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col6\" class=\"data row4 col6\" >95.65 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow4_col7\" class=\"data row4 col7\" >53.2 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col2\" class=\"data row4 col2\" >96.00 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col3\" class=\"data row4 col3\" >45.1 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col4\" class=\"data row4 col4\" >97.12 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col5\" class=\"data row4 col5\" >53.6 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col6\" class=\"data row4 col6\" >95.65 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row4_col7\" class=\"data row4 col7\" >53.2 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col2\" class=\"data row5 col2\" >95.27 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col3\" class=\"data row5 col3\" >47.2 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col4\" class=\"data row5 col4\" >96.47 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col5\" class=\"data row5 col5\" >56.3 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col6\" class=\"data row5 col6\" >95.27 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow5_col7\" class=\"data row5 col7\" >54.6 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col2\" class=\"data row5 col2\" >95.27 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col3\" class=\"data row5 col3\" >47.2 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col4\" class=\"data row5 col4\" >96.47 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col5\" class=\"data row5 col5\" >56.3 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col6\" class=\"data row5 col6\" >95.27 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row5_col7\" class=\"data row5 col7\" >54.6 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col2\" class=\"data row6 col2\" >96.41 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col3\" class=\"data row6 col3\" >138.6 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col4\" class=\"data row6 col4\" >97.93 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col5\" class=\"data row6 col5\" >119.1 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col6\" class=\"data row6 col6\" >97.55 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow6_col7\" class=\"data row6 col7\" >93.7 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col2\" class=\"data row6 col2\" >96.41 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col3\" class=\"data row6 col3\" >138.6 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col4\" class=\"data row6 col4\" >97.93 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col5\" class=\"data row6 col5\" >119.1 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col6\" class=\"data row6 col6\" >97.55 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row6_col7\" class=\"data row6 col7\" >93.7 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col2\" class=\"data row7 col2\" >94.62 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col3\" class=\"data row7 col3\" >145.6 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col4\" class=\"data row7 col4\" >97.49 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col5\" class=\"data row7 col5\" >127.4 s</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col6\" class=\"data row7 col6\" >96.52 %</td>\n",
- " <td id=\"T_f76a7f24_5a4a_11ea_aadb_7516251a77berow7_col7\" class=\"data row7 col7\" >104.3 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col2\" class=\"data row7 col2\" >94.62 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col3\" class=\"data row7 col3\" >145.6 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col4\" class=\"data row7 col4\" >97.49 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col5\" class=\"data row7 col5\" >127.4 s</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col6\" class=\"data row7 col6\" >96.52 %</td>\n",
+ " <td id=\"T_8ba871c6_5a61_11ea_b801_83191f9a9757row7_col7\" class=\"data row7 col7\" >104.3 s</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f6fa8d65710>"
+ "<pandas.io.formats.style.Styler at 0x7f9e338e96d0>"
]
},
"metadata": {},
@@ -329,97 +329,199 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- " #T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col2 {\n",
+ " #T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col2 {\n",
" background-color: yellow;\n",
- " } #T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col6 {\n",
+ " } #T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col6 {\n",
" background-color: yellow;\n",
- " } #T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col4 {\n",
+ " } #T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col4 {\n",
" background-color: yellow;\n",
- " }</style><table id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77be\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
+ " }</style><table id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v1_Accuracy</th> <th class=\"col_heading level0 col3\" >v1_Duration</th> <th class=\"col_heading level0 col4\" >v2_Accuracy</th> <th class=\"col_heading level0 col5\" >v2_Duration</th> <th class=\"col_heading level0 col6\" >v3_Accuracy</th> <th class=\"col_heading level0 col7\" >v3_Duration</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col2\" class=\"data row0 col2\" >95.06 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col3\" class=\"data row0 col3\" >50.7 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col4\" class=\"data row0 col4\" >96.51 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col5\" class=\"data row0 col5\" >52.9 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col6\" class=\"data row0 col6\" >95.12 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow0_col7\" class=\"data row0 col7\" >51.4 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-24x24-L</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >95.06 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >50.7 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col4\" class=\"data row0 col4\" >96.51 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col5\" class=\"data row0 col5\" >52.9 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col6\" class=\"data row0 col6\" >95.12 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row0_col7\" class=\"data row0 col7\" >51.4 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col2\" class=\"data row1 col2\" >96.14 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col3\" class=\"data row1 col3\" >46.7 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col4\" class=\"data row1 col4\" >97.53 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col5\" class=\"data row1 col5\" >55.2 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col6\" class=\"data row1 col6\" >95.29 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow1_col7\" class=\"data row1 col7\" >56.0 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col0\" class=\"data row1 col0\" >set-24x24-RGB</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col1\" class=\"data row1 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col2\" class=\"data row1 col2\" >96.14 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col3\" class=\"data row1 col3\" >46.7 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col4\" class=\"data row1 col4\" >97.53 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col5\" class=\"data row1 col5\" >55.2 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col6\" class=\"data row1 col6\" >95.29 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row1_col7\" class=\"data row1 col7\" >56.0 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col2\" class=\"data row2 col2\" >96.93 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col3\" class=\"data row2 col3\" >137.3 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col4\" class=\"data row2 col4\" >97.60 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col5\" class=\"data row2 col5\" >117.3 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col6\" class=\"data row2 col6\" >97.96 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow2_col7\" class=\"data row2 col7\" >95.3 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col0\" class=\"data row2 col0\" >set-48x48-L</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col1\" class=\"data row2 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col2\" class=\"data row2 col2\" >96.93 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col3\" class=\"data row2 col3\" >137.3 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col4\" class=\"data row2 col4\" >97.60 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col5\" class=\"data row2 col5\" >117.3 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col6\" class=\"data row2 col6\" >97.96 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row2_col7\" class=\"data row2 col7\" >95.3 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col2\" class=\"data row3 col2\" >96.58 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col3\" class=\"data row3 col3\" >146.6 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col4\" class=\"data row3 col4\" >97.86 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col5\" class=\"data row3 col5\" >128.3 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col6\" class=\"data row3 col6\" >97.73 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow3_col7\" class=\"data row3 col7\" >103.1 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col0\" class=\"data row3 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col1\" class=\"data row3 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col2\" class=\"data row3 col2\" >96.58 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col3\" class=\"data row3 col3\" >146.6 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col4\" class=\"data row3 col4\" >97.86 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col5\" class=\"data row3 col5\" >128.3 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col6\" class=\"data row3 col6\" >97.73 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row3_col7\" class=\"data row3 col7\" >103.1 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col2\" class=\"data row4 col2\" >96.11 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col3\" class=\"data row4 col3\" >45.2 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col4\" class=\"data row4 col4\" >97.15 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col5\" class=\"data row4 col5\" >53.0 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col6\" class=\"data row4 col6\" >95.16 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow4_col7\" class=\"data row4 col7\" >54.5 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col0\" class=\"data row4 col0\" >set-24x24-L-LHE</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col1\" class=\"data row4 col1\" >228.77 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col2\" class=\"data row4 col2\" >96.11 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col3\" class=\"data row4 col3\" >45.2 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col4\" class=\"data row4 col4\" >97.15 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col5\" class=\"data row4 col5\" >53.0 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col6\" class=\"data row4 col6\" >95.16 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row4_col7\" class=\"data row4 col7\" >54.5 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col2\" class=\"data row5 col2\" >95.10 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col3\" class=\"data row5 col3\" >47.1 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col4\" class=\"data row5 col4\" >96.41 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col5\" class=\"data row5 col5\" >55.5 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col6\" class=\"data row5 col6\" >94.40 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow5_col7\" class=\"data row5 col7\" >52.6 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col0\" class=\"data row5 col0\" >set-24x24-RGB-HE</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col1\" class=\"data row5 col1\" >684.39 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col2\" class=\"data row5 col2\" >95.10 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col3\" class=\"data row5 col3\" >47.1 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col4\" class=\"data row5 col4\" >96.41 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col5\" class=\"data row5 col5\" >55.5 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col6\" class=\"data row5 col6\" >94.40 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row5_col7\" class=\"data row5 col7\" >52.6 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col2\" class=\"data row6 col2\" >96.45 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col3\" class=\"data row6 col3\" >137.3 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col4\" class=\"data row6 col4\" >97.74 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col5\" class=\"data row6 col5\" >117.7 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col6\" class=\"data row6 col6\" >97.42 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow6_col7\" class=\"data row6 col7\" >91.8 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col0\" class=\"data row6 col0\" >set-48x48-L-LHE</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col1\" class=\"data row6 col1\" >913.90 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col2\" class=\"data row6 col2\" >96.45 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col3\" class=\"data row6 col3\" >137.3 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col4\" class=\"data row6 col4\" >97.74 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col5\" class=\"data row6 col5\" >117.7 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col6\" class=\"data row6 col6\" >97.42 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row6_col7\" class=\"data row6 col7\" >91.8 s</td>\n",
" </tr>\n",
" <tr>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col2\" class=\"data row7 col2\" >95.08 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col3\" class=\"data row7 col3\" >146.7 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col4\" class=\"data row7 col4\" >97.65 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col5\" class=\"data row7 col5\" >130.2 s</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col6\" class=\"data row7 col6\" >96.91 %</td>\n",
- " <td id=\"T_f76ca498_5a4a_11ea_aadb_7516251a77berow7_col7\" class=\"data row7 col7\" >108.1 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col0\" class=\"data row7 col0\" >set-48x48-RGB-HE</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col1\" class=\"data row7 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col2\" class=\"data row7 col2\" >95.08 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col3\" class=\"data row7 col3\" >146.7 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col4\" class=\"data row7 col4\" >97.65 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col5\" class=\"data row7 col5\" >130.2 s</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col6\" class=\"data row7 col6\" >96.91 %</td>\n",
+ " <td id=\"T_8baa2ff2_5a61_11ea_b801_83191f9a9757row7_col7\" class=\"data row7 col7\" >108.1 s</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f6fa8d61c10>"
+ "<pandas.io.formats.style.Styler at 0x7f9e07433250>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "\n",
+ "Report : report_035478\n",
+ "Desc. : train_size=1 test_size=1 batch_size=64 epochs=20 data_aug=True \n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\" >\n",
+ " #T_8bab4aa4_5a61_11ea_b801_83191f9a9757row0_col2 {\n",
+ " background-color: yellow;\n",
+ " }</style><table id=\"T_8bab4aa4_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v2_Accuracy</th> <th class=\"col_heading level0 col3\" >v2_Duration</th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <td id=\"T_8bab4aa4_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8bab4aa4_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8bab4aa4_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >98.71 %</td>\n",
+ " <td id=\"T_8bab4aa4_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >564.0 s</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7f9e345ccd50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "\n",
+ "Report : report_049176\n",
+ "Desc. : train_size=1 test_size=1 batch_size=64 epochs=20 data_aug=True \n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\" >\n",
+ " #T_8bac19e8_5a61_11ea_b801_83191f9a9757row0_col2 {\n",
+ " background-color: yellow;\n",
+ " }</style><table id=\"T_8bac19e8_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v2_Accuracy</th> <th class=\"col_heading level0 col3\" >v2_Duration</th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <td id=\"T_8bac19e8_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8bac19e8_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8bac19e8_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >98.81 %</td>\n",
+ " <td id=\"T_8bac19e8_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >564.2 s</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7f9e06a1d910>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "\n",
+ "Report : report_094813\n",
+ "Desc. : train_size=1 test_size=1 batch_size=64 epochs=20 data_aug=True \n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\" >\n",
+ " #T_8bacebfc_5a61_11ea_b801_83191f9a9757row0_col2 {\n",
+ " background-color: yellow;\n",
+ " }</style><table id=\"T_8bacebfc_5a61_11ea_b801_83191f9a9757\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Dataset</th> <th class=\"col_heading level0 col1\" >Size</th> <th class=\"col_heading level0 col2\" >v2_Accuracy</th> <th class=\"col_heading level0 col3\" >v2_Duration</th> </tr></thead><tbody>\n",
+ " <tr>\n",
+ " <td id=\"T_8bacebfc_5a61_11ea_b801_83191f9a9757row0_col0\" class=\"data row0 col0\" >set-48x48-RGB</td>\n",
+ " <td id=\"T_8bacebfc_5a61_11ea_b801_83191f9a9757row0_col1\" class=\"data row0 col1\" >2736.36 Mo</td>\n",
+ " <td id=\"T_8bacebfc_5a61_11ea_b801_83191f9a9757row0_col2\" class=\"data row0 col2\" >98.92 %</td>\n",
+ " <td id=\"T_8bacebfc_5a61_11ea_b801_83191f9a9757row0_col3\" class=\"data row0 col3\" >570.1 s</td>\n",
+ " </tr>\n",
+ " </tbody></table>"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7f9e06e48750>"
]
},
"metadata": {},
diff --git a/SYNOP/01-Deep-weather.ipynb b/SYNOP/01-Deep-weather.ipynb
new file mode 100644
index 0000000..260fc6d
--- /dev/null
+++ b/SYNOP/01-Deep-weather.ipynb
@@ -0,0 +1,344 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+ "\n",
+ "# <!-- TITLE --> [TIMS1] - Time serie with RNN\n",
+ "<!-- DESC --> Time serie prediction with RNN\n",
+ "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+ "\n",
+ "## Objectives :\n",
+ " - Objectif \n",
+ " - Objectif_pédagogique \n",
+ "\n",
+ "\n",
+ "SYNOP meteorological data, available at: https://public.opendatasoft.com\n",
+ "\n",
+ "## What we're going to do :\n",
+ "\n",
+ " - Ceci\n",
+ " - Cela\n",
+ "\n",
+ "## Step 1 - Import and init\n",
+ "### 1.1 - Python"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "\n",
+ "div.warn { \n",
+ " background-color: #fcf2f2;\n",
+ " border-color: #dFb5b4;\n",
+ " border-left: 5px solid #dfb5b4;\n",
+ " padding: 0.5em;\n",
+ " font-weight: bold;\n",
+ " font-size: 1.1em;;\n",
+ " }\n",
+ "\n",
+ "\n",
+ "\n",
+ "div.nota { \n",
+ " background-color: #DAFFDE;\n",
+ " border-left: 5px solid #92CC99;\n",
+ " padding: 0.5em;\n",
+ " }\n",
+ "\n",
+ "div.todo:before { content:url(data:image/svg+xml;base64,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);\n",
+ " float:left;\n",
+ " margin-right:20px;\n",
+ " margin-top:-20px;\n",
+ " margin-bottom:20px;\n",
+ "}\n",
+ "div.todo{\n",
+ " font-weight: bold;\n",
+ " font-size: 1.1em;\n",
+ " margin-top:40px;\n",
+ "}\n",
+ "div.todo ul{\n",
+ " margin: 0.2em;\n",
+ "}\n",
+ "div.todo li{\n",
+ " margin-left:60px;\n",
+ " margin-top:0;\n",
+ " margin-bottom:0;\n",
+ "}\n",
+ "\n",
+ "\n",
+ "</style>\n",
+ "\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "FIDLE 2020 - Practical Work Module\n",
+ "Version : 0.4.3\n",
+ "Run time : Friday 28 February 2020, 22:08:24\n",
+ "TensorFlow version : 2.0.0\n",
+ "Keras version : 2.2.4-tf\n"
+ ]
+ }
+ ],
+ "source": [
+ "import tensorflow as tf\n",
+ "from tensorflow import keras\n",
+ "from tensorflow.keras.callbacks import TensorBoard\n",
+ "\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "import pandas as pd\n",
+ "import h5py, json\n",
+ "import os,time,sys\n",
+ "\n",
+ "from importlib import reload\n",
+ "\n",
+ "sys.path.append('..')\n",
+ "import fidle.pwk as ooo\n",
+ "\n",
+ "ooo.init()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 1.2 - Where are we ? "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Well, we should be at GRICAD !\n",
+ "We are going to use: /bettik/PROJECTS/pr-fidle/datasets/SYNOP\n"
+ ]
+ }
+ ],
+ "source": [
+ "place, dataset_dir = ooo.good_place( { 'GRICAD' : f'{os.getenv(\"SCRATCH_DIR\",\"\")}/PROJECTS/pr-fidle/datasets/SYNOP',\n",
+ " 'IDRIS' : f'{os.getenv(\"WORK\",\"\")}/datasets/SYNOP',\n",
+ " 'HOME' : f'{os.getenv(\"HOME\",\"\")}/datasets/SYNOP'} )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 2 - Read the data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_filename = 'donnees-synop-essentielles-omm-LYS.csv'\n",
+ "schema_filename = 'schema.json'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 2.1 - Read columns code"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open(f'{dataset_dir}/{schema_filename}','r') as json_file:\n",
+ " schema = json.load(json_file)\n",
+ "\n",
+ "column_codes=list( schema['definitions']['donnees-synop-essentielles-omm_records']['properties']['fields']['properties'].keys() )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 2.2 - Read data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "#### Code - description"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "numer_sta : ID OMM station : 0\n",
+ "date : Date : 0\n",
+ "pmer : Pression au niveau mer : 17\n",
+ "tend : Variation de pression en 3 heures : 2\n",
+ "cod_tend : Type de tendance barométrique : 2\n",
+ "dd : Direction du vent moyen 10 mn : 3\n",
+ "ff : Vitesse du vent moyen 10 mn : 2\n",
+ "t : Température : 14\n",
+ "td : Point de rosée : 17\n",
+ "u : Humidité : 17\n",
+ "vv : Visibilité horizontale : 31\n",
+ "ww : Temps présent : 1\n",
+ "w1 : Temps passé 1 : 542\n",
+ "w2 : Temps passé 2 : 552\n",
+ "n : Nebulosité totale : 801\n",
+ "nbas : Nébulosité des nuages de l' étage inférieur : 2381\n",
+ "hbas : Hauteur de la base des nuages de l'étage inférieur : 8861\n",
+ "cl : Type des nuages de l'étage inférieur : 3377\n",
+ "cm : Type des nuages de l'étage moyen : 6912\n",
+ "ch : Type des nuages de l'étage supérieur : 8494\n",
+ "pres : Pression station : 0\n",
+ "niv_bar : Niveau barométrique : 29165\n",
+ "geop : Géopotentiel : 29165\n",
+ "tend24 : Variation de pression en 24 heures : 14443\n",
+ "tn12 : Température minimale sur 12 heures : 21883\n",
+ "tn24 : Température minimale sur 24 heures : 29165\n",
+ "tx12 : Température maximale sur 12 heures : 21883\n",
+ "tx24 : Température maximale sur 24 heures : 29165\n",
+ "tminsol : Température minimale du sol sur 12 heures : 27364\n",
+ "sw : Méthode de mesure Température du thermomètre mouillé : 29165\n",
+ "tw : Température du thermomètre mouillé : 29165\n",
+ "raf10 : Rafale sur les 10 dernières minutes : 14127\n",
+ "rafper : Rafales sur une période : 9\n",
+ "per : Periode de mesure de la rafale : 8\n",
+ "etat_sol : Etat du sol : 12278\n",
+ "ht_neige : Hauteur totale de la couche de neige, glace, autre au sol : 12083\n",
+ "ssfrai : Hauteur de la neige fraîche : 2914\n",
+ "perssfrai : Periode de mesure de la neige fraiche : 4489\n",
+ "rr1 : Précipitations dans la dernière heure : 95\n",
+ "rr3 : Précipitations dans les 3 dernières heures : 73\n",
+ "rr6 : Précipitations dans les 6 dernières heures : 10869\n",
+ "rr12 : Précipitations dans les 12 dernières heures : 10919\n",
+ "rr24 : Précipitations dans les 24 dernières heures : 12730\n",
+ "phenspe1 : Phénomène spécial 1 : 14818\n",
+ "phenspe2 : Phénomène spécial 2 : 14826\n",
+ "phenspe3 : Phénomène spécial 3 : 15515\n",
+ "phenspe4 : Phénomène spécial 4 : 28869\n",
+ "nnuage1 : Nébulosité couche nuageuse 1 : 4753\n",
+ "ctype1 : Type nuage 1 : 5699\n",
+ "hnuage1 : Hauteur de base 1 : 5439\n",
+ "nnuage2 : Nébulosité couche nuageuse 2 : 16112\n",
+ "ctype2 : Type nuage 2 : 16643\n",
+ "hnuage2 : Hauteur de base 2 : 16317\n",
+ "nnuage3 : Nébulosité couche nuageuse 3 : 25387\n",
+ "ctype3 : Type nuage 3 : 25642\n",
+ "hnuage3 : Hauteur de base 3 : 25431\n",
+ "nnuage4 : Nébulosité couche nuageuse 4 : 28850\n",
+ "ctype4 : Type nuage 4 : 28780\n",
+ "hnuage4 : Hauteur de base 4 : 28850\n",
+ "coordonnees : Coordonnees : 0\n",
+ "nom : Nom : 0\n",
+ "type_de_tendance_barometrique : Type de tendance barométrique.1 : 2\n",
+ "temps_passe_1 : Temps passé 1.1 : 542\n",
+ "temps_present : Temps présent.1 : 1\n",
+ "tc : Température (°C) : 14\n",
+ "tn12c : Température minimale sur 12 heures (°C) : 21883\n",
+ "tn24c : Température minimale sur 24 heures (°C) : 29165\n",
+ "tx12c : Température maximale sur 12 heures (°C) : 21883\n",
+ "tx24c : Température maximale sur 24 heures (°C) : 29165\n",
+ "tminsolc : Température minimale du sol sur 12 heures (en °C) : 27364\n",
+ "altitude : Altitude : 0\n",
+ "longitude : Longitude : 0\n",
+ "latitude : Latitude : 0\n",
+ "libgeo : communes (name) : 0\n",
+ "codegeo : communes (code) : 0\n",
+ "nom_epci : EPCI (name) : 0\n",
+ "code_epci : EPCI (code) : 0\n",
+ "nom_dept : department (name) : 0\n",
+ "code_dep : department (code) : 0\n",
+ "nom_reg : region (name) : 0\n",
+ "code_reg : region (code) : 0\n",
+ "Données manquantes : 805133 Shape is : (29165, 81)\n"
+ ]
+ }
+ ],
+ "source": [
+ "df = pd.read_csv(f'{dataset_dir}/{data_filename}', header=0, sep=';')\n",
+ "\n",
+ "columns_desc = list(df.columns)\n",
+ "code2desc = dict(zip(column_codes, columns_desc))\n",
+ "df.columns = column_codes\n",
+ "\n",
+ "ooo.display_md('#### Code - description')\n",
+ "i=0\n",
+ "for code,desc in code2desc.items():\n",
+ " na = df[code].isna().sum()\n",
+ " print(f'{code:24} : {desc:60} : {na}')\n",
+ "\n",
+ "\n",
+ "# display(data.head(5))\n",
+ "print('Données manquantes : ',data.isna().sum().sum(), ' Shape is : ', data.shape)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
GitLab