update

.gitignore

@@ -1,6 +1,7 @@
 # ignore datasets from repo
 dataset/*/
 dataset/*.npz
+dataset/*.csv
 
 # Weights & Biases
 wandb/

DataAugmentation.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -127,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -170,7 +170,7 @@
     "    ]\n",
     ")\n",
     "\n",
-    "df = pd.read_csv(\"dataset/WITHOUT_GRAVITY/KU-HAR/KU-HAR_time_domain_subsamples_20750x300.csv\", header=None)\n",
+    "df = pd.read_csv(\"./dataset/KU-HAR_time_domain_subsamples_20750x300.csv\", header=None)\n",
     "\n",
     "signals = df.values[:, 0:1800]\n",
     "signals = np.array(signals, dtype=np.float32)\n",
@@ -319,7 +319,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1771,7 +1771,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1807,7 +1807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1862,7 +1862,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1889,7 +1889,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.9.10"
   },
   "orig_nbformat": 4
  },