turn-the-cam-anonymous commited on
Commit
f7f7d9b
1 Parent(s): 0f1946e

small updates

Browse files
Files changed (1) hide show
  1. run.ipynb +6 -13
run.ipynb CHANGED
@@ -1,18 +1,8 @@
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  {
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  "cells": [
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- {
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- "cell_type": "markdown",
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- "id": 3.0293430767166755e+38,
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- "metadata": {
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- "id": 3.0293430767166755e+38
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- },
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- "source": [
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- "# Gradio Demo: blocks_flipper"
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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": 5,
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  "id": 2.8891853944186117e+38,
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  "metadata": {
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  "colab": {
@@ -28,7 +18,7 @@
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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://127.0.0.1:7865\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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  ]
@@ -36,7 +26,7 @@
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  {
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  "data": {
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  "text/html": [
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- "<div><iframe src=\"http://127.0.0.1:7865/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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  ],
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  "text/plain": [
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  "<IPython.core.display.HTML object>"
@@ -86,6 +76,7 @@
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1.png'))\n",
 
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(next(os.walk('online_demo/nerf_wild/step-100_scale-6.0'))[1])\n",
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  " img_id = gr.Dropdown(options, value='car1', label='options')\n",
@@ -109,6 +100,7 @@
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))\n",
 
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))\n",
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  " img_id = gr.Dropdown(options, value='SAMBA_HEMP', label='options')\n",
@@ -132,6 +124,7 @@
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))\n",
 
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))\n",
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  " img_id = gr.Dropdown(options, value='00000', label='options')\n",
 
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  {
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  "cells": [
 
 
 
 
 
 
 
 
 
 
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  {
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  "cell_type": "code",
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+ "execution_count": 1,
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  "id": 2.8891853944186117e+38,
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  "metadata": {
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  "colab": {
 
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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://127.0.0.1:7860\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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  {
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  "data": {
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  "text/html": [
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+ "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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  ],
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  "text/plain": [
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  "<IPython.core.display.HTML object>"
 
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1.png'))\n",
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+ " default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(next(os.walk('online_demo/nerf_wild/step-100_scale-6.0'))[1])\n",
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  " img_id = gr.Dropdown(options, value='car1', label='options')\n",
 
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))\n",
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+ " default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))\n",
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  " img_id = gr.Dropdown(options, value='SAMBA_HEMP', label='options')\n",
 
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  " with gr.Row():\n",
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  " with gr.Column(scale=1):\n",
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  " default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))\n",
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+ " default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
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  " input_image = gr.Image(default_input_image, shape=[256, 256])\n",
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  " options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))\n",
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  " img_id = gr.Dropdown(options, value='00000', label='options')\n",