new model

app.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "id": "c3638940",
+   "id": "bf1f8b04",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "id": "79d0e887",
+   "id": "e2649fec",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "f4669ec7",
+   "id": "a3d1e2e7",
    "metadata": {},
    "outputs": [
     {
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "09cdb957",
+   "id": "025f7c60",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "dad80553",
+   "id": "cbf4fbf1",
    "metadata": {
     "scrolled": true
    },
@@ -163,7 +163,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "f0de21d7",
+   "id": "d91ab13f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -176,7 +176,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "4424abab",
+   "id": "ce2629ab",
    "metadata": {},
    "outputs": [
     {
@@ -321,7 +321,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "id": "2bf0c23c",
+   "id": "bb72c0de",
    "metadata": {},
    "outputs": [
     {
@@ -388,7 +388,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "id": "80d6199c",
+   "id": "658c0ff8",
    "metadata": {
     "scrolled": true
    },
@@ -409,19 +409,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
-   "id": "d5934911",
+   "execution_count": 50,
+   "id": "05e42871",
    "metadata": {},
    "outputs": [
     {
-     "ename": "TypeError",
-     "evalue": "__init__() takes 2 positional arguments but 3 were given",
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "not enough values to unpack (expected 4, got 3)",
      "output_type": "error",
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_10308\\3394884428.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mfastai\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvision\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwidgets\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImageClassifierCleaner\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mcleaner\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImageClassifierCleaner\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mcleaner\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mTypeError\u001b[0m: __init__() takes 2 positional arguments but 3 were given"
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_10308\\1566009837.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mfastai\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvision\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwidgets\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImageClassifierCleaner\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mcleaner\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImageClassifierCleaner\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m \u001b[0mcleaner\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\fastai\\vision\\widgets.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, learn, **kwargs)\u001b[0m\n\u001b[0;32m    111\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdd_cats\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mDropdown\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvocab\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    112\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdd_ds\u001b[0m   \u001b[1;33m=\u001b[0m \u001b[0mDropdown\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Train'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Valid'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 113\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miwis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_get_iw_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0m_get_iw_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    114\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdd_ds\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobserve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_change_ds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'value'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    115\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdd_cats\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobserve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_change_ds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'value'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\anaconda3\\lib\\site-packages\\fastai\\vision\\widgets.py\u001b[0m in \u001b[0;36m_get_iw_info\u001b[1;34m(learn, ds_idx)\u001b[0m\n\u001b[0;32m     98\u001b[0m     \u001b[1;34m\"For every image in `dls` `zip` it's `Path`, target and loss\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     99\u001b[0m     \u001b[0mdl\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdls\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mds_idx\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnew\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mshuffle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdrop_last\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 100\u001b[1;33m     \u001b[0mprobs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mpreds\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlosses\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_preds\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwith_input\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwith_loss\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwith_decoded\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    101\u001b[0m     \u001b[0mtargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mdl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvocab\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mtargs\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    102\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mL\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlosses\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mValueError\u001b[0m: not enough values to unpack (expected 4, got 3)"
      ]
     }
    ],
@@ -435,7 +474,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c88205d2",
+   "id": "81a3823d",
    "metadata": {},
    "outputs": [],
    "source": []

model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78fc95416874ae6ba7f84e22ae94535bd6bfc3f59c4e0a649e6ab8c268f6e788
-size 46976145
+oid sha256:58a9d914b28120bf0302e9d3f151213d19828c27faba04c9115dfada45039616
+size 47073745