Update SimSwap colab.ipynb
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{"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.\n","\n","Code path: https://github.com/neuralchen/SimSwap\n","Paper path: https://arxiv.org/pdf/2106.06340v1.pdf."]},{"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":["All file changes make by this notebook are temporary. \n","You can try to mount your own google drive to store files if you wang.\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 satiLine truncated
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{"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.\n","\n","Code path: https://github.com/neuralchen/SimSwap\n","\n","Paper path: https://arxiv.org/pdf/2106.06340v1.pdf."]},{"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":["All file changes make 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 alreadyLine truncated
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