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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Simple HigherHRNet\n",
"This is a light Google Colab notebook showing how to use the [simple-HigherHRNet](https://github.com/stefanopini/simple-HigherHRNet) repository.\n",
"\n",
"It includes the conversion to TensorRT and a test of the converted model.\n",
"Please skip the section \"TensorRT\" if not interested."
],
"metadata": {
"id": "xZqqnmmNfX1d"
}
},
{
"cell_type": "markdown",
"source": [
"## Pytorch"
],
"metadata": {
"id": "ZFihjwzqhA04"
}
},
{
"cell_type": "markdown",
"source": [
"### Clone the repo and install the dependencies"
],
"metadata": {
"id": "X_ugGAxdd6Hu"
}
},
{
"cell_type": "code",
"source": [
"# clone the repo\n",
"!git clone https://github.com/stefanopini/simple-HigherHRNet.git"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FIecXpzEY7IJ",
"outputId": "51ddb584-9a9f-4f36-ecca-9d6ff9f1bf4a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'simple-HigherHRNet'...\n",
"remote: Enumerating objects: 120, done.\u001b[K\n",
"remote: Counting objects: 100% (120/120), done.\u001b[K\n",
"remote: Compressing objects: 100% (87/87), done.\u001b[K\n",
"remote: Total 120 (delta 47), reused 88 (delta 28), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (120/120), 15.57 MiB | 8.21 MiB/s, done.\n",
"Resolving deltas: 100% (47/47), done.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"%cd simple-HigherHRNet\n",
"!pwd"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JDNRl8a8dl7Z",
"outputId": "36e6d64a-ea0b-416d-8a16-f635eb67d0f2"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/content/simple-HigherHRNet\n",
"/content/simple-HigherHRNet\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# install requirements\n",
"!pip install -r requirements.txt"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FGsHqGPNdbHt",
"outputId": "52f6c2d1-62d5-4126-8682-9bbbc5531e36"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: ffmpeg-python>=0.2.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 1)) (0.2.0)\n",
"Requirement already satisfied: matplotlib>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (3.2.2)\n",
"Requirement already satisfied: munkres>=1.1.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 3)) (1.1.4)\n",
"Requirement already satisfied: numpy>=1.16 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 4)) (1.21.6)\n",
"Requirement already satisfied: opencv-python>=3.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (4.6.0.66)\n",
"Requirement already satisfied: Pillow>=5.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 6)) (7.1.2)\n",
"Requirement already satisfied: vidgear>=0.1.4 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (0.2.6)\n",
"Requirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 8)) (1.12.1+cu113)\n",
"Requirement already satisfied: torchvision>=0.5.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 9)) (0.13.1+cu113)\n",
"Requirement already satisfied: tqdm>=4.26 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 10)) (4.64.1)\n",
"Requirement already satisfied: future in /usr/local/lib/python3.7/dist-packages (from ffmpeg-python>=0.2.0->-r requirements.txt (line 1)) (0.16.0)\n",
"Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.0.2->-r requirements.txt (line 2)) (2.8.2)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.0.2->-r requirements.txt (line 2)) (3.0.9)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.0.2->-r requirements.txt (line 2)) (1.4.4)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.0.2->-r requirements.txt (line 2)) (0.11.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from vidgear>=0.1.4->-r requirements.txt (line 7)) (2.23.0)\n",
"Requirement already satisfied: cython in /usr/local/lib/python3.7/dist-packages (from vidgear>=0.1.4->-r requirements.txt (line 7)) (0.29.32)\n",
"Requirement already satisfied: colorlog in /usr/local/lib/python3.7/dist-packages (from vidgear>=0.1.4->-r requirements.txt (line 7)) (6.7.0)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.4.0->-r requirements.txt (line 8)) (4.1.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib>=3.0.2->-r requirements.txt (line 2)) (1.15.0)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->vidgear>=0.1.4->-r requirements.txt (line 7)) (2.10)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->vidgear>=0.1.4->-r requirements.txt (line 7)) (1.24.3)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->vidgear>=0.1.4->-r requirements.txt (line 7)) (3.0.4)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->vidgear>=0.1.4->-r requirements.txt (line 7)) (2022.9.24)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# install vlc to get video codecs\n",
"!apt install vlc"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "qMynH2IPebr8",
"outputId": "95dc4639-d770-44f6-b877-6e235cc3065b"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Reading package lists... Done\n",
"Building dependency tree \n",
"Reading state information... Done\n",
"The following package was automatically installed and is no longer required:\n",
" libnvidia-common-460\n",
"Use 'apt autoremove' to remove it.\n",
"The following additional packages will be installed:\n",
" fonts-freefont-ttf liba52-0.7.4 libaa1 libaribb24-0\n",
" libbasicusageenvironment1 libcddb2 libdca0 libdvbpsi10 libdvdnav4\n",
" libdvdread4 libebml4v5 libfaad2 libgroupsock8 libkate1 libldb1\n",
" liblirc-client0 liblivemedia62 liblua5.2-0 libmad0 libmatroska6v5\n",
" libmicrodns0 libmpcdec6 libmpeg2-4 libmtp-common libmtp-runtime libmtp9\n",
" libnfs11 libnotify4 libopenmpt-modplug1 libplacebo4 libprotobuf-lite10\n",
" libproxy-tools libqt5svg5 libqt5x11extras5 libresid-builder0c2a\n",
" libsdl-image1.2 libsdl1.2debian libsecret-1-0 libsecret-common libshout3\n",
" libsidplay2 libsmbclient libspeexdsp1 libtag1v5 libtag1v5-vanilla libtalloc2\n",
" libtdb1 libtevent0 libupnp6 libusageenvironment3 libva-wayland2 libvlc-bin\n",
" libvlc5 libvlccore9 libvulkan1 libwbclient0 libxcb-xv0 mesa-vulkan-drivers\n",
" notification-daemon python-talloc samba-libs vlc-bin vlc-data vlc-l10n\n",
" vlc-plugin-base vlc-plugin-notify vlc-plugin-qt vlc-plugin-samba\n",
" vlc-plugin-skins2 vlc-plugin-video-output vlc-plugin-video-splitter\n",
" vlc-plugin-visualization\n",
"Suggested packages:\n",
" libdvdcss2 lirc\n",
"The following NEW packages will be installed:\n",
" fonts-freefont-ttf liba52-0.7.4 libaa1 libaribb24-0\n",
" libbasicusageenvironment1 libcddb2 libdca0 libdvbpsi10 libdvdnav4\n",
" libdvdread4 libebml4v5 libfaad2 libgroupsock8 libkate1 libldb1\n",
" liblirc-client0 liblivemedia62 liblua5.2-0 libmad0 libmatroska6v5\n",
" libmicrodns0 libmpcdec6 libmpeg2-4 libmtp-common libmtp-runtime libmtp9\n",
" libnfs11 libnotify4 libopenmpt-modplug1 libplacebo4 libprotobuf-lite10\n",
" libproxy-tools libqt5svg5 libqt5x11extras5 libresid-builder0c2a\n",
" libsdl-image1.2 libsdl1.2debian libsecret-1-0 libsecret-common libshout3\n",
" libsidplay2 libsmbclient libspeexdsp1 libtag1v5 libtag1v5-vanilla libtalloc2\n",
" libtdb1 libtevent0 libupnp6 libusageenvironment3 libva-wayland2 libvlc-bin\n",
" libvlc5 libvlccore9 libvulkan1 libwbclient0 libxcb-xv0 mesa-vulkan-drivers\n",
" notification-daemon python-talloc samba-libs vlc vlc-bin vlc-data vlc-l10n\n",
" vlc-plugin-base vlc-plugin-notify vlc-plugin-qt vlc-plugin-samba\n",
" vlc-plugin-skins2 vlc-plugin-video-output vlc-plugin-video-splitter\n",
" vlc-plugin-visualization\n",
"0 upgraded, 73 newly installed, 0 to remove and 7 not upgraded.\n",
"Need to get 27.3 MB of archives.\n",
"After this operation, 124 MB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmtp-common all 1.1.13-1 [43.6 kB]\n",
"Get:2 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic/main amd64 libvulkan1 amd64 1.1.126.0-2~gpu18.04.1 [101 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmtp9 amd64 1.1.13-1 [154 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libqt5svg5 amd64 5.9.5-0ubuntu1.1 [129 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwbclient0 amd64 2:4.7.6+dfsg~ubuntu-0ubuntu2.28 [33.6 kB]\n",
"Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtalloc2 amd64 2.1.10-2ubuntu1 [36.0 kB]\n",
"Get:7 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtdb1 amd64 1.3.15-2 [39.7 kB]\n",
"Get:8 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtevent0 amd64 0.9.34-1 [27.7 kB]\n",
"Get:9 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libldb1 amd64 2:1.2.3-1ubuntu0.2 [114 kB]\n",
"Get:10 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-talloc amd64 2.1.10-2ubuntu1 [9,124 B]\n",
"Get:11 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 samba-libs amd64 2:4.7.6+dfsg~ubuntu-0ubuntu2.28 [5,255 kB]\n",
"Get:12 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libsmbclient amd64 2:4.7.6+dfsg~ubuntu-0ubuntu2.28 [54.4 kB]\n",
"Get:13 http://archive.ubuntu.com/ubuntu bionic/main amd64 fonts-freefont-ttf all 20120503-7 [4,202 kB]\n",
"Get:14 http://archive.ubuntu.com/ubuntu bionic/universe amd64 liba52-0.7.4 amd64 0.7.4-19 [35.2 kB]\n",
"Get:15 http://archive.ubuntu.com/ubuntu bionic/main amd64 libaa1 amd64 1.4p5-44build2 [47.2 kB]\n",
"Get:16 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libaribb24-0 amd64 1.0.3-1 [26.7 kB]\n",
"Get:17 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libbasicusageenvironment1 amd64 2018.02.18-1 [15.9 kB]\n",
"Get:18 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libcddb2 amd64 1.3.2-5fakesync1 [33.9 kB]\n",
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"Get:22 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libebml4v5 amd64 1.3.5-2ubuntu0.1 [46.0 kB]\n",
"Get:23 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libfaad2 amd64 2.8.8-1 [154 kB]\n",
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"Get:27 http://archive.ubuntu.com/ubuntu bionic/main amd64 liblua5.2-0 amd64 5.2.4-1.1build1 [108 kB]\n",
"Get:28 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libmad0 amd64 0.15.1b-9ubuntu18.04.1 [64.6 kB]\n",
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"Get:31 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmpcdec6 amd64 2:0.1~r495-1 [32.3 kB]\n",
"Get:32 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmpeg2-4 amd64 0.5.1-8 [57.5 kB]\n",
"Get:33 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmtp-runtime amd64 1.1.13-1 [5,722 B]\n",
"Get:34 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libnfs11 amd64 2.0.0-1~exp1 [75.7 kB]\n",
"Get:35 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libnotify4 amd64 0.7.7-3ubuntu0.18.04.1 [18.7 kB]\n",
"Get:36 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libopenmpt-modplug1 amd64 0.3.6-1 [19.2 kB]\n",
"Get:37 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libplacebo4 amd64 0.4.0-2 [101 kB]\n",
"Get:38 http://archive.ubuntu.com/ubuntu bionic/main amd64 libprotobuf-lite10 amd64 3.0.0-9.1ubuntu1 [97.7 kB]\n",
"Get:39 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libproxy-tools amd64 0.4.15-1ubuntu0.2 [5,320 B]\n",
"Get:40 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt5x11extras5 amd64 5.9.5-0ubuntu1 [8,596 B]\n",
"Get:41 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libresid-builder0c2a amd64 2.1.1-15ubuntu1 [31.3 kB]\n",
"Get:42 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libsdl1.2debian amd64 1.2.15+dfsg2-0.1ubuntu0.2 [175 kB]\n",
"Get:43 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libsdl-image1.2 amd64 1.2.12-8ubuntu0.1 [30.3 kB]\n",
"Get:44 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsecret-common all 0.18.6-1 [4,452 B]\n",
"Get:45 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsecret-1-0 amd64 0.18.6-1 [94.6 kB]\n",
"Get:46 http://archive.ubuntu.com/ubuntu bionic/main amd64 libshout3 amd64 2.4.1-2build1 [43.1 kB]\n",
"Get:47 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libsidplay2 amd64 2.1.1-15ubuntu1 [87.8 kB]\n",
"Get:48 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libspeexdsp1 amd64 1.2~rc1.2-1ubuntu2.1 [40.4 kB]\n",
"Get:49 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtag1v5-vanilla amd64 1.11.1+dfsg.1-0.2build2 [265 kB]\n",
"Get:50 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtag1v5 amd64 1.11.1+dfsg.1-0.2build2 [10.9 kB]\n",
"Get:51 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libusageenvironment3 amd64 2018.02.18-1 [6,944 B]\n",
"Get:52 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libva-wayland2 amd64 2.1.0-3 [8,756 B]\n",
"Get:53 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlccore9 amd64 3.0.8-0ubuntu18.04.1 [434 kB]\n",
"Get:54 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlc5 amd64 3.0.8-0ubuntu18.04.1 [68.0 kB]\n",
"Get:55 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlc-bin amd64 3.0.8-0ubuntu18.04.1 [17.1 kB]\n",
"Get:56 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-xv0 amd64 1.13-2~ubuntu18.04 [9,168 B]\n",
"Get:57 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 mesa-vulkan-drivers amd64 20.0.8-0ubuntu1~18.04.1 [3,059 kB]\n",
"Get:58 http://archive.ubuntu.com/ubuntu bionic/main amd64 notification-daemon amd64 3.20.0-3 [36.9 kB]\n",
"Get:59 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-bin amd64 3.0.8-0ubuntu18.04.1 [53.3 kB]\n",
"Get:60 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-data all 3.0.8-0ubuntu18.04.1 [339 kB]\n",
"Get:61 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libdca0 amd64 0.0.5-10 [100.0 kB]\n",
"Get:62 http://archive.ubuntu.com/ubuntu bionic/main amd64 liblirc-client0 amd64 0.10.0-2 [22.3 kB]\n",
"Get:63 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libupnp6 amd64 1:1.6.24-4 [122 kB]\n",
"Get:64 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-base amd64 3.0.8-0ubuntu18.04.1 [2,900 kB]\n",
"Get:65 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-qt amd64 3.0.8-0ubuntu18.04.1 [1,049 kB]\n",
"Get:66 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-video-output amd64 3.0.8-0ubuntu18.04.1 [163 kB]\n",
"Get:67 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc amd64 3.0.8-0ubuntu18.04.1 [33.7 kB]\n",
"Get:68 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-l10n all 3.0.8-0ubuntu18.04.1 [5,739 kB]\n",
"Get:69 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-notify amd64 3.0.8-0ubuntu18.04.1 [18.3 kB]\n",
"Get:70 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-samba amd64 3.0.8-0ubuntu18.04.1 [18.9 kB]\n",
"Get:71 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-skins2 amd64 3.0.8-0ubuntu18.04.1 [468 kB]\n",
"Get:72 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-video-splitter amd64 3.0.8-0ubuntu18.04.1 [31.3 kB]\n",
"Get:73 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 vlc-plugin-visualization amd64 3.0.8-0ubuntu18.04.1 [39.6 kB]\n",
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"Setting up libebml4v5:amd64 (1.3.5-2ubuntu0.1) ...\n",
"Setting up libva-wayland2:amd64 (2.1.0-3) ...\n",
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"Setting up vlc-l10n (3.0.8-0ubuntu18.04.1) ...\n",
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"Setting up libdca0:amd64 (0.0.5-10) ...\n",
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"Setting up libsmbclient:amd64 (2:4.7.6+dfsg~ubuntu-0ubuntu2.28) ...\n",
"Setting up vlc-plugin-samba:amd64 (3.0.8-0ubuntu18.04.1) ...\n",
"Processing triggers for udev (237-3ubuntu10.56) ...\n",
"Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
"Processing triggers for hicolor-icon-theme (0.17-2) ...\n",
"Processing triggers for fontconfig (2.12.6-0ubuntu2) ...\n",
"Processing triggers for mime-support (3.60ubuntu1) ...\n",
"Processing triggers for libc-bin (2.27-3ubuntu1.6) ...\n",
"Processing triggers for libvlc-bin:amd64 (3.0.8-0ubuntu18.04.1) ...\n",
"W: Target Packages (Packages) is configured multiple times in /etc/apt/sources.list:51 and /etc/apt/sources.list.d/nvidia-machine-learning.list:1\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Download weights and video"
],
"metadata": {
"id": "HqHg_VATg6CO"
}
},
{
"cell_type": "code",
"source": [
"# download weights (pose_higher_hrnet_w32_512.pth)\n",
"!gdown 1V9Iz0ZYy9m8VeaspfKECDW0NKlGsYmO1\n",
"!mkdir weights\n",
"!mv /content/simple-HigherHRNet/pose_higher_hrnet_w32_512.pth /content/simple-HigherHRNet/weights/pose_higher_hrnet_w32_512.pth"
],
"metadata": {
"id": "3LURZ12cfCcU",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "59659ccf-d001-41d5-b0a3-c6f463ba775a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading...\n",
"From: https://drive.google.com/uc?id=1V9Iz0ZYy9m8VeaspfKECDW0NKlGsYmO1\n",
"To: /content/simple-HigherHRNet/pose_higher_hrnet_w32_512.pth\n",
"100% 115M/115M [00:00<00:00, 220MB/s]\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# download a publicly available video (or just get your own)\n",
"!wget https://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoingOnBullrun.mp4"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OLIrIc14eUPM",
"outputId": "7d707a13-66e0-4219-afa2-a2a27b29995d"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2022-11-21 23:37:17-- https://commondatastorage.googleapis.com/gtv-videos-bucket/sample/WeAreGoingOnBullrun.mp4\n",
"Resolving commondatastorage.googleapis.com (commondatastorage.googleapis.com)... 142.251.10.128, 2404:6800:4003:c0f::80\n",
"Connecting to commondatastorage.googleapis.com (commondatastorage.googleapis.com)|142.251.10.128|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 13183260 (13M) [video/mp4]\n",
"Saving to: ‘WeAreGoingOnBullrun.mp4’\n",
"\n",
"WeAreGoingOnBullrun 100%[===================>] 12.57M --.-KB/s in 0.07s \n",
"\n",
"2022-11-21 23:37:18 (190 MB/s) - ‘WeAreGoingOnBullrun.mp4’ saved [13183260/13183260]\n",
"\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Test the live script\n",
"This step can be skipped if interested in the TensorRT conversion."
],
"metadata": {
"id": "ZWUN1C5RgGYS"
}
},
{
"cell_type": "code",
"source": [
"!python ./scripts/live-demo.py --filename WeAreGoingOnBullrun.mp4 --save_video"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "VEPfVe2bg1dS",
"outputId": "f287bde9-4463-4a54-8896-8e48b8904dbd"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[32m23:43:27\u001b[0m :: \u001b[1;35m Helper \u001b[0m :: \u001b[1;36m INFO \u001b[0m :: \u001b[1;37mRunning VidGear Version: 0.2.6\u001b[0m\n",
"device: 'cuda' - 1 GPU(s) will be used\n",
"/content/simple-HigherHRNet/misc/HeatmapParser.py:168: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
" y = (ind // w).long()\n",
"framerate: 8.096502 fps / detected people: 0 /content/simple-HigherHRNet/misc/HeatmapParser.py:236: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
" index = index // dim\n",
"framerate: 9.491158 fps / detected people: 0 \n",
"Time elapsed == 209.30760788917542\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"Now check out the video output.avi\n"
],
"metadata": {
"id": "RsTTv7A5gGvF"
}
},
{
"cell_type": "markdown",
"source": [
"## TensorRT\n",
"This section install TensorRT 8.5, converts the model to TensorRT (.engine) and tests the converted model.\n",
"\n",
"Tested with TensorRT 8.5.1-1+cuda11.8 and python package tensorrt 8.5.1.7 ."
],
"metadata": {
"id": "YHj3FQEyf1yD"
}
},
{
"cell_type": "markdown",
"source": [
"### Install TensorRT\n",
"A GPU is needed for this step. Please change the runtime type to \"GPU\".\n"
],
"metadata": {
"id": "VsFWYxaNc-gl"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LsAlxRGVXhrt",
"outputId": "834363d2-8d74-450a-b6d3-110e8fdeb404"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mon Nov 21 23:47:24 2022 \n",
"+-----------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
"|-------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|===============================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 67C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |\n",
"| | | N/A |\n",
"+-------------------------------+----------------------+----------------------+\n",
" \n",
"+-----------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=============================================================================|\n",
"| No running processes found |\n",
"+-----------------------------------------------------------------------------+\n"
]
}
],
"source": [
"# check a GPU runtime is selected\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"source": [
"%%bash\n",
"wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb\n",
"\n",
"dpkg -i nvidia-machine-learning-repo-*.deb\n",
"apt-get update\n",
"\n",
"sudo apt-get install libnvinfer8 python3-libnvinfer"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9vZ35qN5XkHE",
"outputId": "8d8e9af3-39e8-4edf-8a67-bbc1173156e2"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"(Reading database ... 123994 files and directories currently installed.)\n",
"Preparing to unpack nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb ...\n",
"Unpacking nvidia-machine-learning-repo-ubuntu1804 (1.0.0-1) over (1.0.0-1) ...\n",
"Setting up nvidia-machine-learning-repo-ubuntu1804 (1.0.0-1) ...\n",
"Hit:1 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease\n",
"Hit:2 http://security.ubuntu.com/ubuntu bionic-security InRelease\n",
"Hit:3 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease\n",
"Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:5 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release\n",
"Hit:7 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
"Hit:8 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
"Hit:9 http://archive.ubuntu.com/ubuntu bionic-updates InRelease\n",
"Hit:10 http://archive.ubuntu.com/ubuntu bionic-backports InRelease\n",
"Hit:11 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
"Hit:13 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
"Reading package lists...\n",
"Reading package lists...\n",
"Building dependency tree...\n",
"Reading state information...\n",
"The following package was automatically installed and is no longer required:\n",
" libnvidia-common-460\n",
"Use 'sudo apt autoremove' to remove it.\n",
"The following additional packages will be installed:\n",
" libnvinfer-plugin8 libnvonnxparsers8 libnvparsers8\n",
"The following NEW packages will be installed:\n",
" libnvinfer-plugin8 libnvinfer8 libnvonnxparsers8 libnvparsers8\n",
" python3-libnvinfer\n",
"0 upgraded, 5 newly installed, 0 to remove and 7 not upgraded.\n",
"Need to get 290 MB of archives.\n",
"After this operation, 915 MB of additional disk space will be used.\n",
"Get:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 libnvinfer8 8.5.1-1+cuda11.8 [274 MB]\n",
"Get:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 libnvinfer-plugin8 8.5.1-1+cuda11.8 [13.3 MB]\n",
"Get:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 libnvonnxparsers8 8.5.1-1+cuda11.8 [714 kB]\n",
"Get:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 libnvparsers8 8.5.1-1+cuda11.8 [804 kB]\n",
"Get:5 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 python3-libnvinfer 8.5.1-1+cuda11.8 [610 kB]\n",
"Fetched 290 MB in 5s (62.7 MB/s)\n",
"Selecting previously unselected package libnvinfer8.\r\n",
"(Reading database ... \r(Reading database ... 5%\r(Reading database ... 10%\r(Reading database ... 15%\r(Reading database ... 20%\r(Reading database ... 25%\r(Reading database ... 30%\r(Reading database ... 35%\r(Reading database ... 40%\r(Reading database ... 45%\r(Reading database ... 50%\r(Reading database ... 55%\r(Reading database ... 60%\r(Reading database ... 65%\r(Reading database ... 70%\r(Reading database ... 75%\r(Reading database ... 80%\r(Reading database ... 85%\r(Reading database ... 90%\r(Reading database ... 95%\r(Reading database ... 100%\r(Reading database ... 123994 files and directories currently installed.)\r\n",
"Preparing to unpack .../libnvinfer8_8.5.1-1+cuda11.8_amd64.deb ...\r\n",
"Unpacking libnvinfer8 (8.5.1-1+cuda11.8) ...\r\n",
"Selecting previously unselected package libnvinfer-plugin8.\r\n",
"Preparing to unpack .../libnvinfer-plugin8_8.5.1-1+cuda11.8_amd64.deb ...\r\n",
"Unpacking libnvinfer-plugin8 (8.5.1-1+cuda11.8) ...\r\n",
"Selecting previously unselected package libnvonnxparsers8.\r\n",
"Preparing to unpack .../libnvonnxparsers8_8.5.1-1+cuda11.8_amd64.deb ...\r\n",
"Unpacking libnvonnxparsers8 (8.5.1-1+cuda11.8) ...\r\n",
"Selecting previously unselected package libnvparsers8.\r\n",
"Preparing to unpack .../libnvparsers8_8.5.1-1+cuda11.8_amd64.deb ...\r\n",
"Unpacking libnvparsers8 (8.5.1-1+cuda11.8) ...\r\n",
"Selecting previously unselected package python3-libnvinfer.\r\n",
"Preparing to unpack .../python3-libnvinfer_8.5.1-1+cuda11.8_amd64.deb ...\r\n",
"Unpacking python3-libnvinfer (8.5.1-1+cuda11.8) ...\r\n",
"Setting up libnvinfer8 (8.5.1-1+cuda11.8) ...\r\n",
"Setting up libnvinfer-plugin8 (8.5.1-1+cuda11.8) ...\r\n",
"Setting up libnvparsers8 (8.5.1-1+cuda11.8) ...\r\n",
"Setting up libnvonnxparsers8 (8.5.1-1+cuda11.8) ...\r\n",
"Setting up python3-libnvinfer (8.5.1-1+cuda11.8) ...\r\n",
"Processing triggers for libc-bin (2.27-3ubuntu1.6) ...\r\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"--2022-11-21 23:10:05-- https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb\n",
"Resolving developer.download.nvidia.com (developer.download.nvidia.com)... 152.199.39.144\n",
"Connecting to developer.download.nvidia.com (developer.download.nvidia.com)|152.199.39.144|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 2926 (2.9K) [application/x-deb]\n",
"Saving to: ‘nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb.1’\n",
"\n",
" 0K .. 100% 180M=0s\n",
"\n",
"2022-11-21 23:10:05 (180 MB/s) - ‘nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb.1’ saved [2926/2926]\n",
"\n",
"W: Target Packages (Packages) is configured multiple times in /etc/apt/sources.list:51 and /etc/apt/sources.list.d/nvidia-machine-learning.list:1\n",
"W: Target Packages (Packages) is configured multiple times in /etc/apt/sources.list:51 and /etc/apt/sources.list.d/nvidia-machine-learning.list:1\n",
"debconf: unable to initialize frontend: Dialog\n",
"debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 5.)\n",
"debconf: falling back to frontend: Readline\n",
"debconf: unable to initialize frontend: Readline\n",
"debconf: (This frontend requires a controlling tty.)\n",
"debconf: falling back to frontend: Teletype\n",
"dpkg-preconfigure: unable to re-open stdin: \n",
"W: Target Packages (Packages) is configured multiple times in /etc/apt/sources.list:51 and /etc/apt/sources.list.d/nvidia-machine-learning.list:1\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# check TensorRT version\n",
"print(\"TensorRT version: \")\n",
"!dpkg -l | grep nvinfer"
],
"metadata": {
"id": "GlGh_J2WYH8u",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "eb7d90c9-2bed-4a9d-88f7-fdaaf360fa82"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"TensorRT version: \n",
"ii libnvinfer-plugin8 8.5.1-1+cuda11.8 amd64 TensorRT plugin libraries\n",
"ii libnvinfer8 8.5.1-1+cuda11.8 amd64 TensorRT runtime libraries\n",
"ii python3-libnvinfer 8.5.1-1+cuda11.8 amd64 Python 3 bindings for TensorRT\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install tensorrt onnx"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NUR0P_HklFbz",
"outputId": "e6542f82-66e4-4043-8b3c-3837ae031505"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: tensorrt in /usr/local/lib/python3.7/dist-packages (8.5.1.7)\n",
"Collecting onnx\n",
" Downloading onnx-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB)\n",
"\u001b[K |████████████████████████████████| 13.1 MB 24.5 MB/s \n",
"\u001b[?25hRequirement already satisfied: nvidia-cudnn-cu11 in /usr/local/lib/python3.7/dist-packages (from tensorrt) (8.6.0.163)\n",
"Requirement already satisfied: nvidia-cublas-cu11 in /usr/local/lib/python3.7/dist-packages (from tensorrt) (11.11.3.6)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11 in /usr/local/lib/python3.7/dist-packages (from tensorrt) (11.8.89)\n",
"Requirement already satisfied: numpy>=1.16.6 in /usr/local/lib/python3.7/dist-packages (from onnx) (1.21.6)\n",
"Requirement already satisfied: typing-extensions>=3.6.2.1 in /usr/local/lib/python3.7/dist-packages (from onnx) (4.1.1)\n",
"Requirement already satisfied: protobuf<=3.20.1,>=3.12.2 in /usr/local/lib/python3.7/dist-packages (from onnx) (3.19.6)\n",
"Installing collected packages: onnx\n",
"Successfully installed onnx-1.12.0\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Export the model with tensorrt"
],
"metadata": {
"id": "I2u6Xn72eEBE"
}
},
{
"cell_type": "code",
"source": [
"!python scripts/export-tensorrt-model.py --device 0 --half"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "S57JsLacdnoF",
"outputId": "429a5090-4b27-439f-cdb2-d3fe952b9d71"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[34m\u001b[1mexport-tensorrt-model: \u001b[0mweights=./weights/pose_higher_hrnet_w32_512.pth, hrnet_c=32, hrnet_j=17, imgsz=[512, 960], batch_size=1, device=0, half=True, int8=False, dynamic=False, simplify=False, opset=12, verbose=False, workspace=1, include=['engine']\n",
"YOLOv5 🚀 2022-11-21 Python-3.7.15 torch-1.12.1+cu113 CUDA:0 (Tesla T4, 15110MiB)\n",
"\n",
"\n",
"\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.12.0...\n",
"\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 52.5s, saved as weights/pose_higher_hrnet_w32_512.onnx (109.3 MB)\n",
"\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m starting export with TensorRT 8.5.1.7...\n",
"[11/21/2022-23:54:02] [TRT] [I] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 0, GPU 1572 (MiB)\n",
"[11/21/2022-23:54:05] [TRT] [I] [MemUsageChange] Init builder kernel library: CPU +0, GPU +74, now: CPU 0, GPU 1646 (MiB)\n",
"[11/21/2022-23:54:05] [TRT] [W] CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars\n",
"scripts/export-tensorrt-model.py:132: DeprecationWarning: Use set_memory_pool_limit instead.\n",
" config.max_workspace_size = workspace * 1 << 30\n",
"[11/21/2022-23:54:05] [TRT] [I] ----------------------------------------------------------------\n",
"[11/21/2022-23:54:05] [TRT] [I] Input filename: weights/pose_higher_hrnet_w32_512.onnx\n",
"[11/21/2022-23:54:05] [TRT] [I] ONNX IR version: 0.0.7\n",
"[11/21/2022-23:54:05] [TRT] [I] Opset version: 12\n",
"[11/21/2022-23:54:05] [TRT] [I] Producer name: pytorch\n",
"[11/21/2022-23:54:05] [TRT] [I] Producer version: 1.12.1\n",
"[11/21/2022-23:54:05] [TRT] [I] Domain: \n",
"[11/21/2022-23:54:05] [TRT] [I] Model version: 0\n",
"[11/21/2022-23:54:05] [TRT] [I] Doc string: \n",
"[11/21/2022-23:54:05] [TRT] [I] ----------------------------------------------------------------\n",
"[11/21/2022-23:54:06] [TRT] [W] onnx2trt_utils.cpp:377: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m input \"images\" with shape(1, 3, 512, 960) DataType.FLOAT\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m output \"output0\" with shape(1, 34, 128, 240) DataType.FLOAT\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m output \"output1\" with shape(1, 17, 256, 480) DataType.FLOAT\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m building FP16 engine as weights/pose_higher_hrnet_w32_512.engine\n",
"scripts/export-tensorrt-model.py:159: DeprecationWarning: Use build_serialized_network instead.\n",
" with builder.build_engine(network, config) as engine, open(f, 'wb') as t:\n",
"[11/21/2022-23:54:10] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 0, GPU 1654 (MiB)\n",
"[11/21/2022-23:54:10] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 0, GPU 1662 (MiB)\n",
"[11/21/2022-23:54:10] [TRT] [W] TensorRT was linked against cuDNN 8.6.0 but loaded cuDNN 8.3.2\n",
"[11/21/2022-23:54:10] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.\n",
"[11/21/2022-23:54:19] [TRT] [I] Some tactics do not have sufficient workspace memory to run. Increasing workspace size will enable more tactics, please check verbose output for requested sizes.\n",
"[11/22/2022-00:00:29] [TRT] [I] Total Activation Memory: 1602586624\n",
"[11/22/2022-00:00:29] [TRT] [I] Detected 1 inputs and 2 output network tensors.\n",
"[11/22/2022-00:00:30] [TRT] [I] Total Host Persistent Memory: 930704\n",
"[11/22/2022-00:00:30] [TRT] [I] Total Device Persistent Memory: 3670528\n",
"[11/22/2022-00:00:30] [TRT] [I] Total Scratch Memory: 0\n",
"[11/22/2022-00:00:30] [TRT] [I] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 55 MiB, GPU 574 MiB\n",
"[11/22/2022-00:00:30] [TRT] [I] [BlockAssignment] Started assigning block shifts. This will take 341 steps to complete.\n",
"[11/22/2022-00:00:30] [TRT] [I] [BlockAssignment] Algorithm ShiftNTopDown took 16.2806ms to assign 14 blocks to 341 nodes requiring 51609600 bytes.\n",
"[11/22/2022-00:00:30] [TRT] [I] Total Activation Memory: 51609600\n",
"[11/22/2022-00:00:30] [TRT] [W] TensorRT encountered issues when converting weights between types and that could affect accuracy.\n",
"[11/22/2022-00:00:30] [TRT] [W] If this is not the desired behavior, please modify the weights or retrain with regularization to adjust the magnitude of the weights.\n",
"[11/22/2022-00:00:30] [TRT] [W] Check verbose logs for the list of affected weights.\n",
"[11/22/2022-00:00:30] [TRT] [W] - 317 weights are affected by this issue: Detected subnormal FP16 values.\n",
"[11/22/2022-00:00:30] [TRT] [W] - 88 weights are affected by this issue: Detected values less than smallest positive FP16 subnormal value and converted them to the FP16 minimum subnormalized value.\n",
"[11/22/2022-00:00:30] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +55, GPU +58, now: CPU 55, GPU 58 (MiB)\n",
"\u001b[34m\u001b[1mTensorRT:\u001b[0m export success ✅ 440.8s, saved as weights/pose_higher_hrnet_w32_512.engine (56.9 MB)\n",
"\n",
"Export complete (446.1s)\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### Test the tensorrt model"
],
"metadata": {
"id": "npgGj4cGemZd"
}
},
{
"cell_type": "code",
"source": [
"!python scripts/live-demo.py --enable_tensorrt --filename=WeAreGoingOnBullrun.mp4 --hrnet_weights='weights/pose_higher_hrnet_w32_512.engine' --save_video"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LnIpbqV0fVps",
"outputId": "fce1e062-c975-421a-be89-51c533f2f879"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[32m00:02:18\u001b[0m :: \u001b[1;35m Helper \u001b[0m :: \u001b[1;36m INFO \u001b[0m :: \u001b[1;37mRunning VidGear Version: 0.2.6\u001b[0m\n",
"[11/22/2022-00:02:20] [TRT] [I] Loaded engine size: 56 MiB\n",
"[11/22/2022-00:02:21] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +58, now: CPU 0, GPU 58 (MiB)\n",
"[11/22/2022-00:02:21] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +1, GPU +52, now: CPU 1, GPU 110 (MiB)\n",
"[11/22/2022-00:02:21] [TRT] [W] CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars\n",
"/content/simple-HigherHRNet/misc/HeatmapParser.py:168: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
" y = (ind // w).long()\n",
"framerate: 22.181639 fps / detected people: 0 /content/simple-HigherHRNet/misc/HeatmapParser.py:236: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
" index = index // dim\n",
"framerate: 23.412900 fps / detected people: 0 \n",
"Time elapsed == 134.7310082912445\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"Now check out the video output.avi\n"
],
"metadata": {
"id": "WbQk0PeNnM5-"
}
}
]
} |