From 1ae2bcee133cecc38b46a3fbdb93a02ffc7a84cc Mon Sep 17 00:00:00 2001
From: c6b76b23b68ff2880e300802cab9a6e3
 <c6b76b23b68ff2880e300802cab9a6e3@app-learninglab.inria.fr>
Date: Sun, 12 Jul 2020 17:16:04 +0000
Subject: [PATCH] Essais

---
 module2/exo4/.ipynb            | 38 ++++++++++++++++++++++++++++++++++
 module2/exo4/exercice.ipynb    | 29 +++++++++++++++++++++++---
 module2/exo4/exercice_fr.ipynb | 26 ++++++++++++++++++++---
 3 files changed, 87 insertions(+), 6 deletions(-)
 create mode 100644 module2/exo4/.ipynb

diff --git a/module2/exo4/.ipynb b/module2/exo4/.ipynb
new file mode 100644
index 0000000..c09cd57
--- /dev/null
+++ b/module2/exo4/.ipynb
@@ -0,0 +1,38 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***Objectif:\n",
+    "\n",
+    "- Référencer quelques sites internets fournissant des jeux de données \"datasets\"\n",
+    "- Extraire un résumé, les formats de fichiers fournis ?\n",
+    "- Extaire des mots clés, des étiquettes décrivant ces datasets ?\n",
+    "- Créer quelques statistiques de base de ces datasets ?\n",
+    "- Créer une représentation graphique de ces datasets ?\n"
+   ]
+  }
+ ],
+ "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/module2/exo4/exercice.ipynb b/module2/exo4/exercice.ipynb
index 0bbbe37..7463e55 100644
--- a/module2/exo4/exercice.ipynb
+++ b/module2/exo4/exercice.ipynb
@@ -1,5 +1,29 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***Objectif:\n",
+    "\n",
+    "Référencer quelques sites internets fournissant des jeux de données \"datasets\"\n",
+    "-Extraire un résumé, les formats de fichiers fournis vers un fichier CSV\n",
+    "-Extaire des mots clés, des étiquettes décrivant ces datasets ?\n",
+    "-Créer quelques statistiques de base de ces datasets ?\n",
+    "-Créer une représentation graphique de ces datasets ?"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "name;description;website;tags\n",
+    "KITTI Vision Benchmark Suite;We take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest are: stereo, optical flow, visual odometry, 3D object detection and 3D tracking;http://www.cvlibs.net/datasets/kitti/;stereo,flow,odometry,tracking,detection,road,maps,city;\n",
+    "Audi Autonomous Driving Dataset (A2D2);We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Equipping a vehicle with a multimodal sensor suite, recording a large dataset, and labelling it, is time and labour intensive.;https://www.a2d2.audi/a2d2/en.html;semantic,cloud,segmentation,detection,road,maps,city;\n",
+    "ApolloScape Dataset;Trajectory dataset, 3D Perception Lidar Object Detection and Tracking dataset including about 100K image frames, 80k lidar point cloud and 1000km trajectories for urban traffic. The dataset consisting of varying conditions and traffic densities which includes many challenging scenarios where vehicles, bicycles, and pedestrians move among one another.;http://apolloscape.auto/;stereo,flow,semantic,cloud,segmentation,detection,road,maps,city;"
+   ]
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +40,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
diff --git a/module2/exo4/exercice_fr.ipynb b/module2/exo4/exercice_fr.ipynb
index 0bbbe37..ca5d505 100644
--- a/module2/exo4/exercice_fr.ipynb
+++ b/module2/exo4/exercice_fr.ipynb
@@ -1,5 +1,26 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***Objectif:\n",
+    "\n",
+    "- Référencer quelques sites internets fournissant des jeux de données \"datasets\"\n",
+    "- Extraire un résumé, les formats de fichiers fournis vers un fichier CSV\n",
+    "- Extaire des mots clés, des étiquettes décrivant ces datasets ?\n",
+    "- Créer quelques statistiques de base de ces datasets ?\n",
+    "- Créer une représentation graphique de ces datasets ?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +37,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
-- 
2.18.1