A1

D3/TP/TP_SETI_Kmeans/test.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -138,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -160,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -179,19 +179,14 @@
       " [0. 1. 2.]\n",
       " [0. 1. 2.]\n",
       " [0. 1. 2.]\n",
-      " [0. 1. 2.]]\n"
+      " [0. 1. 2.]]\n",
-     ]
+      "[[[0. 1. 2.]\n",
-    },
+      "  [0. 1. 2.]\n",
-    {
+      "  [0. 1. 2.]]\n",
-     "ename": "IndexError",
+      "\n",
-     "evalue": "tuple index out of range",
+      " [[0. 1. 2.]\n",
-     "output_type": "error",
+      "  [0. 1. 2.]\n",
-     "traceback": [
+      "  [0. 1. 2.]]]\n"
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn [108], line 11\u001b[0m\n\u001b[1;32m      7\u001b[0m B \u001b[39m=\u001b[39m img_2_mat(A)\n\u001b[1;32m      9\u001b[0m \u001b[39mprint\u001b[39m(B)\n\u001b[0;32m---> 11\u001b[0m A \u001b[39m=\u001b[39m mat_2_img(B,A)\n\u001b[1;32m     13\u001b[0m \u001b[39mprint\u001b[39m(A)\n",
-      "Cell \u001b[0;32mIn [106], line 6\u001b[0m, in \u001b[0;36mmat_2_img\u001b[0;34m(mat, my_img)\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mmat_2_img\u001b[39m(mat,my_img):\n\u001b[0;32m----> 6\u001b[0m     img_seg \u001b[39m=\u001b[39m mat\u001b[39m.\u001b[39mreshape(my_img\u001b[39m.\u001b[39mshape[\u001b[39m0\u001b[39m], my_img\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m], my_img\u001b[39m.\u001b[39;49mshape[\u001b[39m3\u001b[39;49m])\n\u001b[1;32m      7\u001b[0m     \u001b[39mreturn\u001b[39;00m img_seg\n",
-      "\u001b[0;31mIndexError\u001b[0m: tuple index out of range"
      ]
     }
    ],
@@ -205,7 +200,7 @@
     "B = img_2_mat(A)\n",
     "\n",
     "print(B)\n",
-    "\n",
+    "B[0,:] = np.array([0,0,0])\n",
     "A = mat_2_img(B,A)\n",
     "\n",
     "print(A)"
@@ -214,7 +209,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.8.10 64-bit",
+   "display_name": "Python 3.9.4 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -228,12 +223,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.9.4"
   },
   "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
-    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+    "hash": "2ef431f6525756fa8a44688585fa332ef3b2e5fcfe8fe75df35bbf7028a8b511"
    }
   }
  },