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August 6, 2020 18:49
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HighResSlowMo.ipynb
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| { | |
| "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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