path dans les variables

src/live.py

@@ -13,26 +13,25 @@ import utils
 RESIZED_SIZE = (100, 50, 3)
 LABELS = ['octane', 'werewolf', 'breakout', 'aftershock']
 
+MODELS_PATH = '../models'
+MODEL_FILENAME = 'rot_25e'
+
 # Load model
-model = models.load_model('../models/model')
+model = models.load_model(MODELS_PATH + '/' + MODEL_FILENAME)
 
 utils.startup(need_focus=False)
 
 running = True
 
 while running:
-    utils.screenshot(filename='live', folder='../models')
+    utils.screenshot(filename='live', folder=MODELS_PATH)
     
     # Lecture de l'image
-    img = PIL.Image.open('../models/live')
-
-    # print(f"img.size = {img.size}")
+    img = PIL.Image.open(MODELS_PATH + '/live')
 
     # Redimensionnement de l'image
     img = img.resize(RESIZED_SIZE[:-1], PIL.Image.ANTIALIAS)
 
-    # print(f"img.size = {img.size}")
-
     X = np.asarray(img)
 
     Y = model.evaluate(X)

src/notebook.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -17,15 +17,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/tmp/deepl/dataset_rot\n",
-      "['octane', 'werewolf', 'breakout', 'aftershock']\n"
+     "ename": "StopIteration",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
+      "\u001b[1;32m/home/damien/GitHub/DeepLearning/src/notebook.ipynb Cell 2'\u001b[0m in \u001b[0;36m<cell line: 6>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/damien/GitHub/DeepLearning/src/notebook.ipynb#ch0000001?line=3'>4</a>\u001b[0m DATASET_PATH \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m./dataset_rot/\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/damien/GitHub/DeepLearning/src/notebook.ipynb#ch0000001?line=4'>5</a>\u001b[0m DATASET_PATH \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mpath\u001b[39m.\u001b[39mabspath(DATASET_PATH)\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/damien/GitHub/DeepLearning/src/notebook.ipynb#ch0000001?line=5'>6</a>\u001b[0m CLASSES \u001b[39m=\u001b[39m \u001b[39mnext\u001b[39;49m(os\u001b[39m.\u001b[39;49mwalk(DATASET_PATH))[\u001b[39m1\u001b[39m]\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/damien/GitHub/DeepLearning/src/notebook.ipynb#ch0000001?line=7'>8</a>\u001b[0m \u001b[39mprint\u001b[39m(DATASET_PATH)\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/damien/GitHub/DeepLearning/src/notebook.ipynb#ch0000001?line=8'>9</a>\u001b[0m \u001b[39mprint\u001b[39m(CLASSES)\n",
+      "\u001b[0;31mStopIteration\u001b[0m: "
      ]
     }
    ],
@@ -43,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -133,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -145,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -267,7 +270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -324,7 +327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -350,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -362,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {