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tf_demo.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyOniB04EaRWqiflrTGF0pX9",
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/peelidramuk/C/blob/master/tf_demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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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": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "vmFUM31sYF2T",
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"outputId": "6d4f3b13-b7c5-4522-c0f6-467895357b10"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Cloning into 'models'...\n",
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"remote: Enumerating objects: 102123, done.\u001b[K\n",
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"remote: Counting objects: 100% (257/257), done.\u001b[K\n",
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"remote: Compressing objects: 100% (132/132), done.\u001b[K\n",
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"remote: Total 102123 (delta 172), reused 125 (delta 125), pack-reused 101866 (from 3)\u001b[K\n",
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"Receiving objects: 100% (102123/102123), 629.39 MiB | 23.85 MiB/s, done.\n",
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"Resolving deltas: 100% (72763/72763), done.\n"
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]
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}
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],
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"source": [
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"!git clone https://github.com/tensorflow/models.git"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# Change into models/research directory\n",
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"%cd models/research\n",
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"\n",
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"# Compile protobufs and install object detection API\n",
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"!protoc object_detection/protos/*.proto --python_out=.\n",
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"\n",
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"# Install required Python packages\n",
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"!pip install tf_slim\n",
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"!pip install .\n",
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"\n",
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"# Go back to root to continue other tasks\n",
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"%cd /\n"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "amSk1xGwYZQC",
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"outputId": "6959a000-1908-486a-b063-9781f44fdc93"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[Errno 2] No such file or directory: 'models/research'\n",
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"/\n",
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"Could not make proto path relative: object_detection/protos/*.proto: No such file or directory\n",
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"Requirement already satisfied: tf_slim in /usr/local/lib/python3.11/dist-packages (1.1.0)\n",
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"Requirement already satisfied: absl-py>=0.2.2 in /usr/local/lib/python3.11/dist-packages (from tf_slim) (1.4.0)\n",
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"\u001b[31mERROR: Directory '.' is not installable. Neither 'setup.py' nor 'pyproject.toml' found.\u001b[0m\u001b[31m\n",
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"\u001b[0m/\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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"source": [
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"import tensorflow as tf\n",
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"print(\"TensorFlow version:\", tf.__version__)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "PFtZ5aCHYdeN",
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"outputId": "93e95349-22c5-450e-c7c0-b38b6688addb"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"TensorFlow version: 2.18.0\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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"source": [
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"!git config --global user.email \"[email protected]\"\n",
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"!git config --global user.name \"Dileep Kumar\"\n"
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],
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"metadata": {
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"id": "kdUdbc5cYx_8"
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},
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"execution_count": 1,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"!mkdir -p colab-playground\n",
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"!cp /content/tf-demo.ipynb colab-playground/\n"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "RLXTcu9WY-fK",
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"outputId": "cbb0ed84-f6e2-4c25-d3ab-45e2570e695e"
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},
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"execution_count": 2,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"cp: cannot stat '/content/tf-demo.ipynb': No such file or directory\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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"source": [],
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"metadata": {
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"id": "Q1WR5HCZZAGn"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}

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