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‎404.html

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<span class="dropdown-title">Ecosystem Day - 2021</span>
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<p>See the posters presented at ecosystem day 2021</p>
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</a>
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<a class="nav-dropdown-item" href="/ecosystem/ptdd/2021">
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<span class="dropdown-title">Developer Day - 2021</span>
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<p>See the posters presented at developer day 2021</p>
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</a>
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</div>
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</div>
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</li>
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<li>
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<a href="/ecosystem/pted/2021">Ecosystem Day 2021</a>
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</li>
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<li>
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<a href="/ecosystem/ptdd/2021">Developer Day 2021</a>
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</li>
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</ul>
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<li class="">

‎assets/hub/facebookresearch_WSL-Images_resnext.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "union-companion",
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"id": "western-insulation",
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"metadata": {},
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"source": [
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"### This notebook is optionally accelerated with a GPU runtime.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "abstract-vegetation",
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"id": "median-insertion",
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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": "markdown",
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"id": "significant-sustainability",
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"id": "middle-questionnaire",
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"metadata": {},
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"source": [
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"All pre-trained models expect input images normalized in the same way,\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "forbidden-price",
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"id": "pressed-mambo",
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"metadata": {},
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "general-ozone",
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"id": "approximate-coast",
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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": "markdown",
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"id": "chinese-belle",
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"id": "intended-consideration",
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"metadata": {},
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"source": [
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"### Model Description\n",

‎assets/hub/facebookresearch_pytorch-gan-zoo_dcgan.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "inclusive-counter",
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"id": "fallen-relaxation",
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"metadata": {},
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"source": [
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"### This notebook is optionally accelerated with a GPU runtime.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "sweet-brunei",
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"id": "experienced-notion",
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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": "markdown",
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"id": "dying-nightmare",
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"id": "handled-grade",
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"metadata": {},
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"source": [
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"The input to the model is a noise vector of shape `(N, 120)` where `N` is the number of images to be generated.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "composed-tribune",
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"id": "patient-hunter",
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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": "markdown",
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"id": "solar-quantity",
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"id": "analyzed-ethics",
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"metadata": {},
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"You should see an image similar to the one on the left.\n",

‎assets/hub/facebookresearch_pytorch-gan-zoo_pgan.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "breeding-pricing",
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"id": "ignored-bread",
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"metadata": {},
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"source": [
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"### This notebook is optionally accelerated with a GPU runtime.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ancient-communication",
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"id": "coupled-division",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"id": "welcome-gabriel",
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"id": "solar-password",
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"metadata": {},
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"source": [
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"The input to the model is a noise vector of shape `(N, 512)` where `N` is the number of images to be generated.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "stable-egyptian",
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"id": "documented-crime",
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"metadata": {},
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "running-premium",
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"id": "conditional-strategy",
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"metadata": {},
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"You should see an image similar to the one on the left.\n",

‎assets/hub/facebookresearch_pytorchvideo_resnet.ipynb

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"cells": [
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"id": "distant-excess",
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"id": "noble-designer",
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"metadata": {},
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"source": [
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"# 3D ResNet\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "responsible-blade",
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"id": "described-executive",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "markdown",
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"id": "sound-pattern",
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"id": "eight-circuit",
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"metadata": {},
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"source": [
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"Import remaining functions:"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "material-picking",
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"id": "crazy-kelly",
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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": "markdown",
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"id": "confident-houston",
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"id": "present-session",
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"metadata": {},
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"source": [
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"#### Setup\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "thermal-authorization",
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"id": "metric-intelligence",
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"metadata": {
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"attributes": {
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"classes": [
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},
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{
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"cell_type": "markdown",
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"id": "copyrighted-leonard",
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"id": "entitled-promotion",
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"metadata": {},
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"source": [
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"Download the id to label mapping for the Kinetics 400 dataset on which the torch hub models were trained. This will be used to get the category label names from the predicted class ids."
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "naval-edgar",
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"id": "announced-pride",
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"outputs": [],
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"source": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dimensional-dream",
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"id": "checked-contemporary",
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},
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"cell_type": "markdown",
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"id": "circular-meditation",
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"id": "activated-newcastle",
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"metadata": {},
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"source": [
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"#### Define input transform"
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "devoted-genome",
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"id": "molecular-provincial",
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"metadata": {},
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"outputs": [],
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},
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"cell_type": "markdown",
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"id": "disabled-candidate",
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"metadata": {},
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"#### Run Inference\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "headed-postcard",
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"id": "suspected-ontario",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"id": "through-samba",
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"metadata": {},
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"Load the video and transform it to the input format required by the model."
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{
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"cell_type": "code",
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"id": "chemical-austin",
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"id": "african-marine",
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},
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"cell_type": "markdown",
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"id": "specific-suffering",
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"metadata": {},
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"source": [
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"#### Get Predictions"
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{
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"id": "light-television",
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"id": "lined-groove",
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"outputs": [],
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},
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"cell_type": "markdown",
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"id": "french-shipping",
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"id": "eastern-words",
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"metadata": {},
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"### Model Description\n",

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