Spaces:
Runtime error
Runtime error
Commit ·
5056593
1
Parent(s): 6425640
Improved model quite a lot
Browse files- albani3.jpg +0 -0
- demo.py +4 -5
- model-gym.ipynb +0 -0
- model-test.ipynb +193 -12
- resnet18-albani.pkl +2 -2
- trainingdata.zip +2 -2
albani3.jpg
ADDED
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demo.py
CHANGED
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@@ -1,7 +1,7 @@
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# AUTOGENERATED! DO NOT EDIT! File to edit: model-test.ipynb.
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# %% auto 0
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-
__all__ = ['plt', 'learn', 'categories', 'description', 'image', 'label', 'examples', 'iface', '
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# %% model-test.ipynb 2
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from fastai.vision.all import *
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@@ -10,12 +10,11 @@ import gradio as gr
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plt = platform.system()
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if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
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-
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return parent_label(path) == "albani"
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# %% model-test.ipynb 7
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learn = load_learner(Path('./resnet18-albani.pkl'))
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categories = ('
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def classify_image(img):
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pred,idx,probs = learn.predict(img)
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@@ -27,7 +26,7 @@ description = """
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"""
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image = gr.Image(shape=(192, 192))
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label = gr.Label()
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examples = ['albani.jpg', 'albani2.jpg', 'heineken.jpg', 'carlsberg.jpg']
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iface = gr.Interface(
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fn=classify_image,
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# AUTOGENERATED! DO NOT EDIT! File to edit: model-test.ipynb.
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# %% auto 0
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+
__all__ = ['plt', 'learn', 'categories', 'description', 'image', 'label', 'examples', 'iface', 'classify_image']
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# %% model-test.ipynb 2
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from fastai.vision.all import *
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plt = platform.system()
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if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
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+
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# %% model-test.ipynb 7
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learn = load_learner(Path('./resnet18-albani.pkl'))
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+
categories = ('God Øl', 'Dårlig Øl')
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def classify_image(img):
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pred,idx,probs = learn.predict(img)
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"""
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image = gr.Image(shape=(192, 192))
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label = gr.Label()
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examples = ['albani.jpg', 'albani2.jpg', 'albani3.jpg', 'heineken.jpg', 'carlsberg.jpg']
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iface = gr.Interface(
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fn=classify_image,
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model-gym.ipynb
CHANGED
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The diff for this file is too large to render.
See raw diff
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model-test.ipynb
CHANGED
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -29,9 +29,7 @@
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"import gradio as gr\n",
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"plt = platform.system()\n",
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"if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath\n",
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"\n"
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"def is_albani(path):\n",
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" return parent_label(path) == \"albani\""
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]
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},
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{
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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-
"\n",
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-
"Thanks for being a Gradio user! If you have questions or feedback, please join our Discord server and chat with us: https://discord.gg/feTf9x3ZSB\n",
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"Running on local URL: http://127.0.0.1:7877\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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@@ -93,16 +89,201 @@
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"data": {
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"text/plain": []
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#|export\n",
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"\n",
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"learn = load_learner(Path('./resnet18-albani.pkl'))\n",
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-
"categories = ('
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"\n",
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"def classify_image(img):\n",
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" pred,idx,probs = learn.predict(img)\n",
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"\"\"\"\n",
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"image = gr.Image(shape=(192, 192))\n",
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"label = gr.Label()\n",
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-
"examples = ['albani.jpg', 'albani2.jpg', 'heineken.jpg', 'carlsberg.jpg']\n",
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"\n",
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"iface = gr.Interface(\n",
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" fn=classify_image, \n",
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"cells": [
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{
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"cell_type": "code",
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+
"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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+
"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"import gradio as gr\n",
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"plt = platform.system()\n",
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"if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath\n",
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"\n"
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7863\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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"data": {
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"text/plain": []
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},
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+
"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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+
},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+
" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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+
" progress {\n",
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+
" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+
" }\n",
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+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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+
" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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"data": {
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"text/html": [],
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"<IPython.core.display.HTML object>"
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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| 175 |
+
" /* Turns off some styling */\n",
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+
" progress {\n",
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| 177 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
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| 178 |
+
" border: none;\n",
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+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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+
" background-size: auto;\n",
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" }\n",
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+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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| 183 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+
" }\n",
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| 185 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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| 186 |
+
" background: #F44336;\n",
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+
" }\n",
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+
"</style>\n"
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+
],
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"text/plain": [
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+
"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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+
"output_type": "display_data"
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},
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{
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+
"data": {
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+
"text/html": [
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+
"\n",
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+
"<style>\n",
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| 212 |
+
" /* Turns off some styling */\n",
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| 213 |
+
" progress {\n",
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| 214 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
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| 215 |
+
" border: none;\n",
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| 216 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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+
" background-size: auto;\n",
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+
" }\n",
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| 219 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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| 220 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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| 221 |
+
" }\n",
|
| 222 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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| 223 |
+
" background: #F44336;\n",
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+
" }\n",
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+
"</style>\n"
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+
],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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| 249 |
+
" /* Turns off some styling */\n",
|
| 250 |
+
" progress {\n",
|
| 251 |
+
" /* gets rid of default border in Firefox and Opera. */\n",
|
| 252 |
+
" border: none;\n",
|
| 253 |
+
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
|
| 254 |
+
" background-size: auto;\n",
|
| 255 |
+
" }\n",
|
| 256 |
+
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
|
| 257 |
+
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
|
| 258 |
+
" }\n",
|
| 259 |
+
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
|
| 260 |
+
" background: #F44336;\n",
|
| 261 |
+
" }\n",
|
| 262 |
+
"</style>\n"
|
| 263 |
+
],
|
| 264 |
+
"text/plain": [
|
| 265 |
+
"<IPython.core.display.HTML object>"
|
| 266 |
+
]
|
| 267 |
+
},
|
| 268 |
+
"metadata": {},
|
| 269 |
+
"output_type": "display_data"
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"data": {
|
| 273 |
+
"text/html": [],
|
| 274 |
+
"text/plain": [
|
| 275 |
+
"<IPython.core.display.HTML object>"
|
| 276 |
+
]
|
| 277 |
+
},
|
| 278 |
+
"metadata": {},
|
| 279 |
+
"output_type": "display_data"
|
| 280 |
}
|
| 281 |
],
|
| 282 |
"source": [
|
| 283 |
"#|export\n",
|
| 284 |
"\n",
|
| 285 |
"learn = load_learner(Path('./resnet18-albani.pkl'))\n",
|
| 286 |
+
"categories = ('God Øl', 'Dårlig Øl')\n",
|
| 287 |
"\n",
|
| 288 |
"def classify_image(img):\n",
|
| 289 |
" pred,idx,probs = learn.predict(img)\n",
|
|
|
|
| 295 |
"\"\"\"\n",
|
| 296 |
"image = gr.Image(shape=(192, 192))\n",
|
| 297 |
"label = gr.Label()\n",
|
| 298 |
+
"examples = ['albani.jpg', 'albani2.jpg', 'albani3.jpg', 'heineken.jpg', 'carlsberg.jpg']\n",
|
| 299 |
"\n",
|
| 300 |
"iface = gr.Interface(\n",
|
| 301 |
" fn=classify_image, \n",
|
resnet18-albani.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:627089adbb0053d085a8157ef9db5bd9bdfec3fc60ccb301c2c25dde4c54eb75
|
| 3 |
+
size 46967321
|
trainingdata.zip
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4643bbadaa2ba2b8557c722f6f02823fe07fdf9339a1a7b03aa350a0c28b78b4
|
| 3 |
+
size 23563235
|