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HanClinto/highresslowmo.ipynb

Created August 6, 2020 18:49
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highresslowmo.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "HighResSlowMo.ipynb",
"provenance": [],
"collapsed_sections": [],
"machine_shape": "hm",
"authorship_tag": "ABX9TyMtbc9hVgFUs0wB2wYQzjsr",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/HanClinto/49219942f76d5f20990b6d048dbacbaf/highresslowmo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-5VS0HUHFQQW",
"colab_type": "text"
},
"source": [
"# Zooming-Sloow-Mo-CVPR in Google Collab\n",
"Big thanks to Mukosame for open-sourcing this implementation and providing a pre-trained model: \n",
"\n",
"https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020\n",
"\n",
"Note that you will need to upload your own .mp4 to convert -- in this example, I used the following `beirut3.mp4`:\n",
"\n",
"https://drive.google.com/file/d/11hYH5kkW42Dwp4hm7JyRSobGqnYxWfEB/view?usp=sharing\n",
"\n",
"Running this code produced the following output for me:\n",
"\n",
"https://drive.google.com/file/d/1-l8HnUHlnbynvivPi7QI7XAlMlEAg98c/view?usp=sharing\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "i_Cb_jzHbwXX",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 595
},
"outputId": "010ff28f-eff8-4d0f-c934-4f742afe833e"
},
"source": [
"!pwd\n",
"%cd /\n",
"!git clone --recursive https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020.git cvpr\n",
"!pip install torch==1.4.0 torchvision==0.5.0\n",
"!pip install numpy opencv-python lmdb pyyaml pickle5 matplotlib seaborn\n",
"!ls\n",
"print (\"Installed dependencies!\")\n"
],
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"text": [
"/cvpr\n",
"/\n",
"fatal: destination path 'cvpr' already exists and is not an empty directory.\n",
"Requirement already satisfied: torch==1.4.0 in /usr/local/lib/python3.6/dist-packages (1.4.0)\n",
"Requirement already satisfied: torchvision==0.5.0 in /usr/local/lib/python3.6/dist-packages (0.5.0)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5.0) (1.18.5)\n",
"Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5.0) (1.15.0)\n",
"Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5.0) (7.0.0)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (1.18.5)\n",
"Requirement already satisfied: opencv-python in /usr/local/lib/python3.6/dist-packages (4.1.2.30)\n",
"Requirement already satisfied: lmdb in /usr/local/lib/python3.6/dist-packages (0.98)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/dist-packages (3.13)\n",
"Requirement already satisfied: pickle5 in /usr/local/lib/python3.6/dist-packages (0.0.11)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (3.2.2)\n",
"Requirement already satisfied: seaborn in /usr/local/lib/python3.6/dist-packages (0.10.1)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (1.2.0)\n",
"Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.8.1)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (2.4.7)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib) (0.10.0)\n",
"Requirement already satisfied: pandas>=0.22.0 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.0.5)\n",
"Requirement already satisfied: scipy>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.4.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.1->matplotlib) (1.15.0)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.22.0->seaborn) (2018.9)\n",
"bin\t\t\t\t\t lib\t srv\n",
"boot\t\t\t\t\t lib32 swift\n",
"content\t\t\t\t\t lib64 sys\n",
"cvpr\t\t\t\t\t media tensorflow-1.15.2\n",
"datalab\t\t\t\t\t mnt\t tmp\n",
"dev\t\t\t\t\t opt\t tools\n",
"dlib-19.18.0-cp27-cp27mu-linux_x86_64.whl proc usr\n",
"dlib-19.18.0-cp36-cp36m-linux_x86_64.whl root var\n",
"etc\t\t\t\t\t run\n",
"home\t\t\t\t\t sbin\n",
"Installed dependencies!\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zlO5wPqXdVtL",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "292a3c44-dd4c-45c6-c1f3-d7730688fb22"
},
"source": [
"import torch\n",
"from IPython.display import Image, clear_output # to display images\n",
"\n",
"clear_output()\n",
"print('Setup complete. Using torch %s %s' % (torch.__version__, torch.cuda.get_device_properties(0) if torch.cuda.is_available() else 'CPU'))"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Setup complete. Using torch 1.4.0 _CudaDeviceProperties(name='Tesla P100-PCIE-16GB', major=6, minor=0, total_memory=16280MB, multi_processor_count=56)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "v-ekmOYWcUfu",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "3e8c40e7-dffd-41a8-8116-6c4172163e81"
},
"source": [
"print (\"Compiling DCNv2...\")\n",
"!ls\n",
"%cd cvpr/codes/models/modules/DCNv2\n",
"!ls\n",
"!bash make.sh\n",
"print (\"Compilation complete!\")"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Compiling DCNv2...\n",
"bin\t\t\t\t\t lib\t srv\n",
"boot\t\t\t\t\t lib32 swift\n",
"content\t\t\t\t\t lib64 sys\n",
"cvpr\t\t\t\t\t media tensorflow-1.15.2\n",
"datalab\t\t\t\t\t mnt\t tmp\n",
"dev\t\t\t\t\t opt\t tools\n",
"dlib-19.18.0-cp27-cp27mu-linux_x86_64.whl proc usr\n",
"dlib-19.18.0-cp36-cp36m-linux_x86_64.whl root var\n",
"etc\t\t\t\t\t run\n",
"home\t\t\t\t\t sbin\n",
"/cvpr/codes/models/modules/DCNv2\n",
"dcn_v2.py __init__.py\tLICENSE make.sh README.md setup.py src test.py\n",
"running build\n",
"running build_ext\n",
"building '_ext' extension\n",
"creating build\n",
"creating build/temp.linux-x86_64-3.6\n",
"creating build/temp.linux-x86_64-3.6/cvpr\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models/modules\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cpu\n",
"creating build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda\n",
"x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DWITH_CUDA -I/cvpr/codes/models/modules/DCNv2/src -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /cvpr/codes/models/modules/DCNv2/src/vision.cpp -o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/vision.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11\n",
"x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DWITH_CUDA -I/cvpr/codes/models/modules/DCNv2/src -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /cvpr/codes/models/modules/DCNv2/src/cpu/dcn_v2_cpu.cpp -o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cpu/dcn_v2_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11\n",
"/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/cvpr/codes/models/modules/DCNv2/src -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu -o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++11\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kat::Tensor dcn_v2_cuda_forward(const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:191:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:215:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:240:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:262:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:286:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:107:308:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" createBatchGemmBuffer<<<grid, block, 0, THCState_getCurrentStream(state)>>>(\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:139:88:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:139:112:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:139:134:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:139:310:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:\u001b[m\u001b[K In function ‘\u001b[01m\u001b[Kstd::vector<at::Tensor> dcn_v2_cuda_backward(const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int)\u001b[m\u001b[K’:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:273:80:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 'n', 't', n, m, k, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:273:107:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 'n', 't', n, m, k, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:273:143:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 'n', 't', n, m, k, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:96:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:121:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:147:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:171:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:349:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:279:378:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:291:90:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:291:116:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:291:140:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:291:317:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_col2im_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:302:90:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:302:116:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:302:140:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:302:312:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" modulated_deformable_im2col_cuda(THCState_getCurrentStream(state),\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:316:77:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 't', 'n', n_, m_, k_, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:316:112:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 't', 'n', n_, m_, k_, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:316:153:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemm(state, 't', 'n', n_, m_, k_, 1.0f,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:324:74:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemv(state,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:324:100:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemv(state,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.cu:324:138:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" THCudaBlas_Sgemv(state,\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/cvpr/codes/models/modules/DCNv2/src -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu -o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++11\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:98:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:31:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
" \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:343:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:452:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:493:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:624:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:654:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:890:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:998:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:1038:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:1168:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:317:1197:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(input.type(), \"dcn_v2_psroi_pooling_cuda_forward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:101:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kc10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:31:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[Kinline at::\u001b[m\u001b[KScalarType scalar_type(const at::DeprecatedTypeProperties &t) {\n",
" \u001b[01;36m\u001b[K^~~~~~~~~~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:353:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:398:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:535:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:581:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:622:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:662:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:703:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = double]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:\u001b[m\u001b[K In lambda function:\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1041:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1085:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1221:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1266:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1306:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1345:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.cu:391:1385:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[KT* at::Tensor::data() const [with T = float]\u001b[m\u001b[K’ is deprecated [\u001b[01;35m\u001b[K-Wdeprecated-declarations\u001b[m\u001b[K]\n",
" AT_DISPATCH_FLOATING_TYPES(out_grad.type(), \"dcn_v2_psroi_pooling_cuda_backward\", [&] {\n",
" \u001b[01;35m\u001b[K^\u001b[m\u001b[K\n",
"\u001b[01m\u001b[K/usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:322:1:\u001b[m\u001b[K \u001b[01;36m\u001b[Knote: \u001b[m\u001b[Kdeclared here\n",
" \u001b[01;36m\u001b[K T \u001b[m\u001b[K* data() const {\n",
" \u001b[01;36m\u001b[K^\u001b[m\u001b[K \u001b[01;36m\u001b[K~~\u001b[m\u001b[K\n",
"/usr/local/cuda/bin/nvcc -DWITH_CUDA -I/cvpr/codes/models/modules/DCNv2/src -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c /cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_im2col_cuda.cu -o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_im2col_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_60,code=sm_60 -std=c++11\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"/usr/local/lib/python3.6/dist-packages/torch/include/c10/core/TensorTypeSet.h(44): warning: integer conversion resulted in a change of sign\n",
"\n",
"creating build/lib.linux-x86_64-3.6\n",
"x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/vision.o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cpu/dcn_v2_cpu.o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_cuda.o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_psroi_pooling_cuda.o build/temp.linux-x86_64-3.6/cvpr/codes/models/modules/DCNv2/src/cuda/dcn_v2_im2col_cuda.o -L/usr/local/cuda/lib64 -lcudart -o build/lib.linux-x86_64-3.6/_ext.cpython-36m-x86_64-linux-gnu.so\n",
"running develop\n",
"running egg_info\n",
"creating DCNv2.egg-info\n",
"writing DCNv2.egg-info/PKG-INFO\n",
"writing dependency_links to DCNv2.egg-info/dependency_links.txt\n",
"writing top-level names to DCNv2.egg-info/top_level.txt\n",
"writing manifest file 'DCNv2.egg-info/SOURCES.txt'\n",
"writing manifest file 'DCNv2.egg-info/SOURCES.txt'\n",
"running build_ext\n",
"copying build/lib.linux-x86_64-3.6/_ext.cpython-36m-x86_64-linux-gnu.so -> \n",
"Creating /usr/local/lib/python3.6/dist-packages/DCNv2.egg-link (link to .)\n",
"Adding DCNv2 0.1 to easy-install.pth file\n",
"\n",
"Installed /cvpr/codes/models/modules/DCNv2\n",
"Processing dependencies for DCNv2==0.1\n",
"Finished processing dependencies for DCNv2==0.1\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "POBBsEz0cdgi",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "cf05f197-b9a7-43dd-e95f-cdd092827d50"
},
"source": [
"# Note: You will need to download your own video file and put it in here. Warning though -- too high of a resolution and you'll run out of RAM.\n",
"%cd /cvpr\n",
"!rm -rf .delme\n",
"!python codes/video_to_zsm.py --model experiments/pretrained_models/xiang2020zooming.pth --video beirut3.mp4 --output beirut3_out.mp4 --N_out 3"
],
"execution_count": 18,
"outputs": [
{
"output_type": "stream",
"text": [
"/cvpr\n",
"ffmpeg -i beirut3.mp4 -vsync 0 .delme/%06d.png\n",
"ffmpeg version 3.4.8-0ubuntu0.2 Copyright (c) 2000-2020 the FFmpeg developers\n",
" built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)\n",
" configuration: --prefix=/usr --extra-version=0ubuntu0.2 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared\n",
" libavutil 55. 78.100 / 55. 78.100\n",
" libavcodec 57.107.100 / 57.107.100\n",
" libavformat 57. 83.100 / 57. 83.100\n",
" libavdevice 57. 10.100 / 57. 10.100\n",
" libavfilter 6.107.100 / 6.107.100\n",
" libavresample 3. 7. 0 / 3. 7. 0\n",
" libswscale 4. 8.100 / 4. 8.100\n",
" libswresample 2. 9.100 / 2. 9.100\n",
" libpostproc 54. 7.100 / 54. 7.100\n",
"Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'beirut3.mp4':\n",
" Metadata:\n",
" major_brand : mp42\n",
" minor_version : 1\n",
" compatible_brands: isommp41mp42\n",
" creation_time : 2020-08-06T16:56:33.000000Z\n",
" Duration: 00:00:02.65, start: -0.018889, bitrate: 423 kb/s\n",
" Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p, 320x564, 355 kb/s, 29.96 fps, 29.97 tbr, 90k tbn, 59.94 tbc (default)\n",
" Metadata:\n",
" creation_time : 2020-08-06T16:56:33.000000Z\n",
" handler_name : Core Media Video\n",
" encoder : AVC Coding\n",
" Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 33 kb/s (default)\n",
" Metadata:\n",
" creation_time : 2020-08-06T16:56:33.000000Z\n",
" handler_name : Core Media Audio\n",
"Stream mapping:\n",
" Stream #0:0 -> #0:0 (h264 (native) -> png (native))\n",
"Press [q] to stop, [?] for help\n",
"Output #0, image2, to '.delme/%06d.png':\n",
" Metadata:\n",
" major_brand : mp42\n",
" minor_version : 1\n",
" compatible_brands: isommp41mp42\n",
" encoder : Lavf57.83.100\n",
" Stream #0:0(und): Video: png, rgb24, 320x564, q=2-31, 200 kb/s, 29.97 fps, 29.97 tbn, 29.97 tbc (default)\n",
" Metadata:\n",
" creation_time : 2020-08-06T16:56:33.000000Z\n",
" handler_name : Core Media Video\n",
" encoder : Lavc57.107.100 png\n",
"frame= 80 fps=0.0 q=-0.0 Lsize=N/A time=00:00:02.70 bitrate=N/A speed=4.95x \n",
"video:17435kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown\n",
"ffmpeg -r 24 -f image2 -i .hr_delme/%6d.png beirut2_out.mp4\n",
"ffmpeg version 3.4.8-0ubuntu0.2 Copyright (c) 2000-2020 the FFmpeg developers\n",
" built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)\n",
" configuration: --prefix=/usr --extra-version=0ubuntu0.2 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared\n",
" libavutil 55. 78.100 / 55. 78.100\n",
" libavcodec 57.107.100 / 57.107.100\n",
" libavformat 57. 83.100 / 57. 83.100\n",
" libavdevice 57. 10.100 / 57. 10.100\n",
" libavfilter 6.107.100 / 6.107.100\n",
" libavresample 3. 7. 0 / 3. 7. 0\n",
" libswscale 4. 8.100 / 4. 8.100\n",
" libswresample 2. 9.100 / 2. 9.100\n",
" libpostproc 54. 7.100 / 54. 7.100\n",
"Input #0, image2, from '.hr_delme/%6d.png':\n",
" Duration: 00:00:06.63, start: 0.000000, bitrate: N/A\n",
" Stream #0:0: Video: png, rgb24(pc), 1280x2256, 24 fps, 24 tbr, 24 tbn, 24 tbc\n",
"Stream mapping:\n",
" Stream #0:0 -> #0:0 (png (native) -> h264 (libx264))\n",
"Press [q] to stop, [?] for help\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0musing cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mprofile High 4:4:4 Predictive, level 5.0, 4:4:4 8-bit\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0m264 - core 152 r2854 e9a5903 - H.264/MPEG-4 AVC codec - Copyleft 2003-2017 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x1:0x111 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=0 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=24 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n",
"Output #0, mp4, to 'beirut2_out.mp4':\n",
" Metadata:\n",
" encoder : Lavf57.83.100\n",
" Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv444p, 1280x2256, q=-1--1, 24 fps, 12288 tbn, 24 tbc\n",
" Metadata:\n",
" encoder : Lavc57.107.100 libx264\n",
" Side data:\n",
" cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1\n",
"frame= 159 fps=7.7 q=-1.0 Lsize= 3391kB time=00:00:06.50 bitrate=4273.4kbits/s speed=0.315x \n",
"video:3388kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.077215%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mframe I:1 Avg QP:18.75 size:106837\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mframe P:56 Avg QP:20.94 size: 37117\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mframe B:102 Avg QP:23.81 size: 12583\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mconsecutive B-frames: 9.4% 13.8% 3.8% 73.0%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mmb I I16..4: 59.8% 0.0% 40.2%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mmb P I16..4: 41.4% 0.0% 4.7% P16..4: 24.7% 8.3% 2.6% 0.0% 0.0% skip:18.3%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mmb B I16..4: 5.4% 0.0% 1.2% B16..8: 28.5% 2.3% 0.2% direct: 2.2% skip:60.2% L0:44.6% L1:50.7% BI: 4.7%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mcoded y,u,v intra: 9.7% 1.5% 1.6% inter: 7.6% 1.4% 1.5%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mi16 v,h,dc,p: 46% 29% 8% 17%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mi4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 21% 30% 23% 4% 5% 4% 7% 3% 3%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mWeighted P-Frames: Y:1.8% UV:1.8%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mref P L0: 54.9% 12.1% 25.2% 7.7% 0.0%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mref B L0: 86.9% 10.7% 2.4%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mref B L1: 97.8% 2.2%\n",
"\u001b[1;36m[libx264 @ 0x5654d6d85e00] \u001b[0mkb/s:4188.79\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "bai0Wa-sGbWK",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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