{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"SimSwap colab.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyNOd2gHqzvEERlg8scYqsHg"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"7_gtFoV8BuRx"},"source":["This is a simple example of SimSwap on processing video with multiple faces. You can change the codes for inference based on our other scripts for image or single face swapping.\n","\n","Code path: https://github.com/neuralchen/SimSwap\n","\n","Paper path: https://arxiv.org/pdf/2106.06340v1.pdf or https://dl.acm.org/doi/10.1145/3394171.3413630"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0Y1RfpzsCAl9","executionInfo":{"status":"ok","timestamp":1624195942908,"user_tz":-480,"elapsed":1168,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"2d4d3c09-2baf-45f2-af4a-51347a0c5943"},"source":["## make sure you are using a runtime with GPU\n","## you can check at Runtime/Change runtime type in the top bar.\n","!nvidia-smi"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Sun Jun 20 13:32:21 2021 \n","+-----------------------------------------------------------------------------+\n","| NVIDIA-SMI 465.27 Driver Version: 460.32.03 CUDA Version: 11.2 |\n","|-------------------------------+----------------------+----------------------+\n","| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n","| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n","| | | MIG M. |\n","|===============================+======================+======================|\n","| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n","| N/A 63C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |\n","| | | N/A |\n","+-------------------------------+----------------------+----------------------+\n"," \n","+-----------------------------------------------------------------------------+\n","| Processes: |\n","| GPU GI CI PID Type Process name GPU Memory |\n","| ID ID Usage |\n","|=============================================================================|\n","| No running processes found |\n","+-----------------------------------------------------------------------------+\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"0Qzzx2UpDkqw"},"source":["## Installation\n","\n","All file changes made by this notebook are temporary. \n","You can try to mount your own google drive to store files if you want.\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VA_4CeWZCHLP","executionInfo":{"status":"ok","timestamp":1624195953150,"user_tz":-480,"elapsed":9654,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"d8994b2f-859e-4be2-ae3b-1bfcd8470054"},"source":["!git clone https://github.com/neuralchen/SimSwap\n","!cd SimSwap && git pull"],"execution_count":2,"outputs":[{"output_type":"stream","text":["Cloning into 'SimSwap'...\n","remote: Enumerating objects: 329, done.\u001b[K\n","remote: Counting objects: 100% (329/329), done.\u001b[K\n","remote: Compressing objects: 100% (251/251), done.\u001b[K\n","remote: Total 329 (delta 130), reused 261 (delta 64), pack-reused 0\u001b[K\n","Receiving objects: 100% (329/329), 101.29 MiB | 48.72 MiB/s, done.\n","Resolving deltas: 100% (130/130), done.\n","Already up to date.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Y5K4au_UCkKn","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1624195964743,"user_tz":-480,"elapsed":11600,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"5a711b0f-c5f0-48c1-bafd-41d3b35cd9c6"},"source":["!pip install insightface==0.2.1 onnxruntime moviepy\n","!pip install googledrivedownloader\n","!pip install imageio==2.4.1"],"execution_count":3,"outputs":[{"output_type":"stream","text":["Collecting insightface==0.2.1\n"," Downloading https://files.pythonhosted.org/packages/ee/1e/6395bbe0db665f187c8e49266cda54fcf661f182192370d409423e4943e4/insightface-0.2.1-py2.py3-none-any.whl\n","Collecting onnxruntime\n","\u001b[?25l Downloading https://files.pythonhosted.org/packages/f9/76/3d0f8bb2776961c7335693df06eccf8d099e48fa6fb552c7546867192603/onnxruntime-1.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5MB)\n","\u001b[K |████████████████████████████████| 4.5MB 37.9MB/s \n","\u001b[?25hRequirement already satisfied: moviepy in /usr/local/lib/python3.7/dist-packages (0.2.3.5)\n","Requirement already satisfied: easydict in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (1.9)\n","Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (2.23.0)\n","Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (3.2.2)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (1.4.1)\n","Requirement already satisfied: scikit-image in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (0.16.2)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (4.41.1)\n","Requirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (4.1.2.30)\n","Requirement already satisfied: Pillow in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (7.1.2)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (0.22.2.post1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from insightface==0.2.1) (1.19.5)\n","Collecting onnx\n","\u001b[?25l Downloading https://files.pythonhosted.org/packages/3f/9b/54c950d3256e27f970a83cd0504efb183a24312702deed0179453316dbd0/onnx-1.9.0-cp37-cp37m-manylinux2010_x86_64.whl (12.2MB)\n","\u001b[K |████████████████████████████████| 12.2MB 22.0MB/s \n","\u001b[?25hRequirement already satisfied: flatbuffers in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (1.12)\n","Requirement already satisfied: protobuf in /usr/local/lib/python3.7/dist-packages (from onnxruntime) (3.12.4)\n","Requirement already satisfied: decorator<5.0,>=4.0.2 in /usr/local/lib/python3.7/dist-packages (from moviepy) (4.4.2)\n","Requirement already satisfied: imageio<3.0,>=2.1.2 in /usr/local/lib/python3.7/dist-packages (from moviepy) (2.4.1)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->insightface==0.2.1) (2021.5.30)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->insightface==0.2.1) (1.24.3)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->insightface==0.2.1) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->insightface==0.2.1) (2.10)\n","Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->insightface==0.2.1) (1.3.1)\n","Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->insightface==0.2.1) (2.8.1)\n","Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->insightface==0.2.1) (2.4.7)\n","Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->insightface==0.2.1) (0.10.0)\n","Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->insightface==0.2.1) (1.1.1)\n","Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->insightface==0.2.1) (2.5.1)\n","Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->insightface==0.2.1) (1.0.1)\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from onnx->insightface==0.2.1) (1.15.0)\n","Requirement already satisfied: typing-extensions>=3.6.2.1 in /usr/local/lib/python3.7/dist-packages (from onnx->insightface==0.2.1) (3.7.4.3)\n","Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from protobuf->onnxruntime) (57.0.0)\n","Installing collected packages: onnx, insightface, onnxruntime\n","Successfully installed insightface-0.2.1 onnx-1.9.0 onnxruntime-1.8.0\n","Requirement already satisfied: googledrivedownloader in /usr/local/lib/python3.7/dist-packages (0.4)\n","Requirement already satisfied: imageio==2.4.1 in /usr/local/lib/python3.7/dist-packages (2.4.1)\n","Requirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from imageio==2.4.1) (7.1.2)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from imageio==2.4.1) (1.19.5)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gQ7ZoIbLFCye","executionInfo":{"status":"ok","timestamp":1624195964744,"user_tz":-480,"elapsed":19,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"03319c84-85ba-4e2c-ee61-459027c2ebe2"},"source":["import os\n","os.chdir(\"SimSwap\")\n","!ls"],"execution_count":4,"outputs":[{"output_type":"stream","text":["crop_224\t models\t test_video_swapmutil.py\n","data\t\t options\t test_video_swapsingle.py\n","demo_file\t output\t test_wholeimage_swapmutil.py\n","doc\t\t README.md\t test_wholeimage_swapsingle.py\n","insightface_func simswaplogo\t util\n","LICENSE\t\t test_one_image.py\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gLti1J0pEFjJ","executionInfo":{"status":"ok","timestamp":1624195981746,"user_tz":-480,"elapsed":17011,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"e5182ee2-4d66-4915-c81b-26db30903a16"},"source":["from google_drive_downloader import GoogleDriveDownloader\n","\n","GoogleDriveDownloader.download_file_from_google_drive(file_id='1TLNdIufzwesDbyr_nVTR7Zrx9oRHLM_N',\n"," dest_path='./arcface_model/arcface_checkpoint.tar')\n","GoogleDriveDownloader.download_file_from_google_drive(file_id='1PXkRiBUYbu1xWpQyDEJvGKeqqUFthJcI',\n"," dest_path='./checkpoints.zip')\n","!unzip ./checkpoints.zip -d ./checkpoints"],"execution_count":5,"outputs":[{"output_type":"stream","text":["Downloading 1TLNdIufzwesDbyr_nVTR7Zrx9oRHLM_N into ./arcface_model/arcface_checkpoint.tar... Done.\n","Downloading 1PXkRiBUYbu1xWpQyDEJvGKeqqUFthJcI into ./checkpoints.zip... Done.\n","Archive: ./checkpoints.zip\n"," creating: ./checkpoints/people/\n"," inflating: ./checkpoints/people/iter.txt \n"," inflating: ./checkpoints/people/latest_net_D1.pth \n"," inflating: ./checkpoints/people/latest_net_D2.pth \n"," inflating: ./checkpoints/people/latest_net_G.pth \n"," inflating: ./checkpoints/people/loss_log.txt \n"," inflating: ./checkpoints/people/opt.txt \n"," creating: ./checkpoints/people/web/\n"," creating: ./checkpoints/people/web/images/\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aSRnK5V4HI-k","executionInfo":{"status":"ok","timestamp":1624196025784,"user_tz":-480,"elapsed":44047,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"c0b1ef7c-c9af-43f7-cc82-9e4822003c48"},"source":["## You can upload filed manually\n","# from google.colab import drive\n","# drive.mount('/content/gdrive')\n","\n","### Now onedrive file can be downloaded in Colab directly!\n","### If the link blow is not permanent, you can just download it from the \n","### open url(can be found at [our repo]/doc/guidance/preparation.md) and copy the assigned download link here.\n","### many thanks to woctezuma for this very useful help\n","!wget --no-check-certificate \"https://sh23tw.dm.files.1drv.com/y4mmGiIkNVigkSwOKDcV3nwMJulRGhbtHdkheehR5TArc52UjudUYNXAEvKCii2O5LAmzGCGK6IfleocxuDeoKxDZkNzDRSt4ZUlEt8GlSOpCXAFEkBwaZimtWGDRbpIGpb_pz9Nq5jATBQpezBS6G_UtspWTkgrXHHxhviV2nWy8APPx134zOZrUIbkSF6xnsqzs3uZ_SEX_m9Rey0ykpx9w\" -O antelope.zip\n","!unzip ./antelope.zip -d ./insightface_func/models/\n"],"execution_count":6,"outputs":[{"output_type":"stream","text":["Mounted at /content/gdrive\n","Archive: ../gdrive/MyDrive/antelope.zip\n"," creating: ./insightface_func/models/antelope/\n"," inflating: ./insightface_func/models/antelope/glintr100.onnx \n"," inflating: ./insightface_func/models/antelope/scrfd_10g_bnkps.onnx \n"],"name":"stdout"}]},{"source":["## Inference"],"cell_type":"markdown","metadata":{}},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PfSsND36EMvn","executionInfo":{"status":"ok","timestamp":1624196033610,"user_tz":-480,"elapsed":7838,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"a2bee46f-7ab9-49e7-e96c-d6baca330751"},"source":["import cv2\n","import torch\n","import fractions\n","import numpy as np\n","from PIL import Image\n","import torch.nn.functional as F\n","from torchvision import transforms\n","from models.models import create_model\n","from options.test_options import TestOptions\n","from insightface_func.face_detect_crop_mutil import Face_detect_crop\n","from util.videoswap import video_swap\n","from util.add_watermark import watermark_image"],"execution_count":7,"outputs":[{"output_type":"stream","text":["Imageio: 'ffmpeg-linux64-v3.3.1' was not found on your computer; downloading it now.\n","Try 1. Download from https://github.com/imageio/imageio-binaries/raw/master/ffmpeg/ffmpeg-linux64-v3.3.1 (43.8 MB)\n","Downloading: 8192/45929032 bytes (0.0%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b3653632/45929032 bytes (8.0%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b7626752/45929032 bytes (16.6%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b11558912/45929032 bytes (25.2%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b15671296/45929032 bytes (34.1%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b19611648/45929032 bytes (42.7%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b23494656/45929032 bytes (51.2%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b27320320/45929032 bytes (59.5%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b31350784/45929032 bytes (68.3%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b35110912/45929032 bytes (76.4%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b38862848/45929032 bytes (84.6%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b42680320/45929032 bytes (92.9%)\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b45929032/45929032 bytes (100.0%)\n"," Done\n","File saved as /root/.imageio/ffmpeg/ffmpeg-linux64-v3.3.1.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"rxSbZ2EDNDlf","executionInfo":{"status":"ok","timestamp":1624196033611,"user_tz":-480,"elapsed":6,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}}},"source":["transformer = transforms.Compose([\n"," transforms.ToTensor(),\n"," #transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n"," ])\n","\n","transformer_Arcface = transforms.Compose([\n"," transforms.ToTensor(),\n"," transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n"," ])\n","\n","detransformer = transforms.Compose([\n"," transforms.Normalize([0, 0, 0], [1/0.229, 1/0.224, 1/0.225]),\n"," transforms.Normalize([-0.485, -0.456, -0.406], [1, 1, 1])\n"," ])"],"execution_count":8,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wwJOwR9LNKRz","executionInfo":{"status":"ok","timestamp":1624196642194,"user_tz":-480,"elapsed":608588,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}},"outputId":"6329108b-7e43-4470-bbf8-7a70dc4a4624"},"source":["opt = TestOptions()\n","opt.initialize()\n","opt.parser.add_argument('-f') ## dummy arg to avoid bug\n","opt = opt.parse()\n","opt.pic_a_path = './demo_file/Iron_man.jpg' ## or replace it with image from your own google drive\n","opt.video_path = './demo_file/mutil_people_1080p.mp4' ## or replace it with video from your own google drive\n","opt.output_path = './output/demo.mp4'\n","opt.temp_path = './tmp'\n","opt.Arc_path = './arcface_model/arcface_checkpoint.tar'\n","opt.isTrain = False\n","\n","crop_size = 224\n","\n","torch.nn.Module.dump_patches = True\n","model = create_model(opt)\n","model.eval()\n","\n","\n","app = Face_detect_crop(name='antelope', root='./insightface_func/models')\n","app.prepare(ctx_id= 0, det_thresh=0.6, det_size=(640,640))\n","\n","pic_a = opt.pic_a_path\n","# img_a = Image.open(pic_a).convert('RGB')\n","img_a_whole = cv2.imread(pic_a)\n","img_a_align_crop, _ = app.get(img_a_whole,crop_size)\n","img_a_align_crop_pil = Image.fromarray(cv2.cvtColor(img_a_align_crop[0],cv2.COLOR_BGR2RGB)) \n","img_a = transformer_Arcface(img_a_align_crop_pil)\n","img_id = img_a.view(-1, img_a.shape[0], img_a.shape[1], img_a.shape[2])\n","\n","# convert numpy to tensor\n","img_id = img_id.cuda()\n","# img_att = img_att.cuda()\n","\n","#create latent id\n","img_id_downsample = F.interpolate(img_id, scale_factor=0.5)\n","latend_id = model.netArc(img_id_downsample)\n","latend_id = latend_id.detach().to('cpu')\n","latend_id = latend_id/np.linalg.norm(latend_id,axis=1,keepdims=True)\n","latend_id = latend_id.to('cuda')\n","\n","video_swap(opt.video_path, latend_id, model, app, opt.output_path,temp_results_dir=opt.temp_path)"],"execution_count":9,"outputs":[{"output_type":"stream","text":["------------ Options -------------\n","Arc_path: models/BEST_checkpoint.tar\n","aspect_ratio: 1.0\n","batchSize: 8\n","checkpoints_dir: ./checkpoints\n","cluster_path: features_clustered_010.npy\n","data_type: 32\n","dataroot: ./datasets/cityscapes/\n","display_winsize: 512\n","engine: None\n","export_onnx: None\n","f: /root/.local/share/jupyter/runtime/kernel-03a95cea-099b-4d39-a5ec-f08e173f37b1.json\n","feat_num: 3\n","fineSize: 512\n","fp16: False\n","gpu_ids: [0]\n","how_many: 50\n","image_size: 224\n","input_nc: 3\n","instance_feat: False\n","isTrain: False\n","label_feat: False\n","label_nc: 0\n","latent_size: 512\n","loadSize: 1024\n","load_features: False\n","local_rank: 0\n","max_dataset_size: inf\n","model: pix2pixHD\n","nThreads: 2\n","n_blocks_global: 6\n","n_blocks_local: 3\n","n_clusters: 10\n","n_downsample_E: 4\n","n_downsample_global: 3\n","n_local_enhancers: 1\n","name: people\n","nef: 16\n","netG: global\n","ngf: 64\n","niter_fix_global: 0\n","no_flip: False\n","no_instance: False\n","norm: batch\n","norm_G: spectralspadesyncbatch3x3\n","ntest: inf\n","onnx: None\n","output_nc: 3\n","output_path: ./output/\n","phase: test\n","pic_a_path: ./crop_224/gdg.jpg\n","pic_b_path: ./crop_224/zrf.jpg\n","resize_or_crop: scale_width\n","results_dir: ./results/\n","semantic_nc: 3\n","serial_batches: False\n","temp_path: ./temp_results\n","tf_log: False\n","use_dropout: False\n","use_encoded_image: False\n","verbose: False\n","video_path: ./demo_file/mutil_people_1080p.mp4\n","which_epoch: latest\n","-------------- End ----------------\n","input mean and std: 127.5 127.5\n","find model: ./insightface_func/models/antelope/glintr100.onnx recognition\n","find model: ./insightface_func/models/antelope/scrfd_10g_bnkps.onnx detection\n","set det-size: (640, 640)\n"],"name":"stdout"},{"output_type":"stream","text":["\r 0%| | 0/594 [00:00>>> Building video ./output/demo.mp4\n","[MoviePy] Writing audio in demoTEMP_MPY_wvf_snd.mp3\n"],"name":"stdout"},{"output_type":"stream","text":["100%|██████████| 438/438 [00:00<00:00, 849.32it/s]"],"name":"stderr"},{"output_type":"stream","text":["[MoviePy] Done.\n","[MoviePy] Writing video ./output/demo.mp4\n"],"name":"stdout"},{"output_type":"stream","text":["\n","100%|██████████| 595/595 [00:52<00:00, 11.28it/s]\n"],"name":"stderr"},{"output_type":"stream","text":["[MoviePy] Done.\n","[MoviePy] >>>> Video ready: ./output/demo.mp4 \n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"Rty2GsyZZrI6","executionInfo":{"status":"ok","timestamp":1624196642195,"user_tz":-480,"elapsed":8,"user":{"displayName":"José Lampreia","photoUrl":"","userId":"16015278604201270582"}}},"source":[],"execution_count":9,"outputs":[]}]}