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Created February 9, 2024 09:28
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyMHIuJtWPD07Co22YzpBNxX",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/kiransair/4864c0e85dcee21081640cb2b839e342/tf_forum_22528.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WdqiOlFvL1g-",
"outputId": "747057a5-f8c6-4b0e-cd75-35c3d4e4be62"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'models'...\n",
"remote: Enumerating objects: 92854, done.\u001b[K\n",
"remote: Counting objects: 100% (2773/2773), done.\u001b[K\n",
"remote: Compressing objects: 100% (1606/1606), done.\u001b[K\n",
"remote: Total 92854 (delta 1193), reused 2699 (delta 1145), pack-reused 90081\u001b[K\n",
"Receiving objects: 100% (92854/92854), 616.89 MiB | 29.47 MiB/s, done.\n",
"Resolving deltas: 100% (66114/66114), done.\n"
]
}
],
"source": [
"!git clone https://github.com/tensorflow/models"
]
},
{
"cell_type": "code",
"source": [
"%cd models/research/"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cIIxbwbjL5UB",
"outputId": "a850b42a-df2b-44e0-f445-10886686205e"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/content/models/research\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!protoc object_detection/protos/*.proto --python_out=."
],
"metadata": {
"id": "atUSqdSdL9Vf"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!cp object_detection/packages/tf2/setup.py ."
],
"metadata": {
"id": "NmZqPr_UL9P6"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!python -m pip install ."
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "x8jDPyGqMDUI",
"outputId": "d8bbe352-864b-4740-e9a3-7f4075ea3e44"
},
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Processing /content/models/research\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting avro-python3 (from object-detection==0.1)\n",
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" Downloading apache_beam-2.53.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.8 MB)\n",
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"Building wheels for collected packages: object-detection, avro-python3, crcmod, dill, hdfs, seqeval, pyjsparser, docopt\n",
" Building wheel for object-detection (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"Successfully built object-detection avro-python3 crcmod dill hdfs seqeval pyjsparser docopt\n",
"Installing collected packages: pyjsparser, docopt, crcmod, zstandard, tensorflow-model-optimization, tensorflow_io, pyparsing, portalocker, orjson, objsize, js2py, immutabledict, fasteners, fastavro, dnspython, dill, colorama, avro-python3, sacrebleu, pymongo, hdfs, seqeval, lvis, apache-beam, tensorflow-text, tf-models-official, object-detection\n",
" Attempting uninstall: pyparsing\n",
" Found existing installation: pyparsing 3.1.1\n",
" Uninstalling pyparsing-3.1.1:\n",
" Successfully uninstalled pyparsing-3.1.1\n",
"Successfully installed apache-beam-2.53.0 avro-python3-1.10.2 colorama-0.4.6 crcmod-1.7 dill-0.3.1.1 dnspython-2.5.0 docopt-0.6.2 fastavro-1.9.3 fasteners-0.19 hdfs-2.7.3 immutabledict-4.1.0 js2py-0.74 lvis-0.5.3 object-detection-0.1 objsize-0.6.1 orjson-3.9.13 portalocker-2.8.2 pyjsparser-2.7.1 pymongo-4.6.1 pyparsing-2.4.7 sacrebleu-2.2.0 seqeval-1.2.2 tensorflow-model-optimization-0.8.0 tensorflow-text-2.15.0 tensorflow_io-0.36.0 tf-models-official-2.15.0 zstandard-0.22.0\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "fbb2oUoKMFGN"
},
"execution_count": null,
"outputs": []
}
]
}
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