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Facemorphs / Baka Mitai Guide Image #2

[2] cd first-order-model / content/first-order-model 3) Click this button 5) Click the link Mount your Google drive folder on Colab [3] from google.colab import drive drive.mount ('/content/gdrive') 4) Click this button Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=9473189{ Enter your authorization code: .......... Mounted at /content/gdrive Add folder https://drive.google.com/drive/folders/1kZ1gCnpfU0BnpdU47pLM _TQ6RypDDqgw? usp=sharing to your google drive.
[2] cd first-order-model / content/first-order-model 3) Click this button 5) Click the link Mount your Google drive folder on Colab [3] from google.colab import drive drive.mount ('/content/gdrive') 4) Click this button Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=9473189{ Enter your authorization code: .......... Mounted at /content/gdrive Add folder https://drive.google.com/drive/folders/1kZ1gCnpfU0BnpdU47pLM _TQ6RypDDqgw? usp=sharing to your google drive.

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Facemorphs / Baka Mitai Guide Image #12

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Facemorphs / Baka Mitai Guide Image #11

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Facemorphs / Baka Mitai Guide Image #10

+ Code + Text Copy to Drive E Files [22] from demo import load_checkpoints <> generator, kp_detector = load_checkpoints(config_path= checkpoint_path='/content/g first-order-model gdrive Perform image animation sample_data generated.mp4 make_animation ort img_as_ubyte Download Delete file ike_animation(source_image, driving_vide Rename file video Сoрy path 13) Right-click "generated.mp4, '../generated. mp4', [img_as_ubyte (frame Refresh wnloaded from /content folder then "download" HTML (display(source_image, driving_video, predictions).
+ Code + Text Copy to Drive E Files [22] from demo import load_checkpoints <> generator, kp_detector = load_checkpoints(config_path= checkpoint_path='/content/g first-order-model gdrive Perform image animation sample_data generated.mp4 make_animation ort img_as_ubyte Download Delete file ike_animation(source_image, driving_vide Rename file video Сoрy path 13) Right-click "generated.mp4, '../generated. mp4', [img_as_ubyte (frame Refresh wnloaded from /content folder then "download" HTML (display(source_image, driving_video, predictions).

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Facemorphs / Baka Mitai Guide Image #9

Ofirst-order-model-demo.ipynb File Edit View Insert Runtime Tools Help Cannot save changes + Code + Text A Copy to Drive Table of contents Demo for paper "First Order Motion Model for Image Animation" [22] from demo import load_checkpoints generator, kp_detector = load_checkpo checkpoin <> Running on your data B Section Perform image animation 12) Click this folder icon from demo import make_animation from skimage import img_as_ubyte predictions = make_animation(source_i #save resulting video imageio.mimsave('../generated.mp4', [ #video can be downloaded from /conten HTML (display(source_image, driving_vi 100%|| 836/836 [00:34<00:00
Ofirst-order-model-demo.ipynb File Edit View Insert Runtime Tools Help Cannot save changes + Code + Text A Copy to Drive Table of contents Demo for paper "First Order Motion Model for Image Animation" [22] from demo import load_checkpoints generator, kp_detector = load_checkpo checkpoin <> Running on your data B Section Perform image animation 12) Click this folder icon from demo import make_animation from skimage import img_as_ubyte predictions = make_animation(source_i #save resulting video imageio.mimsave('../generated.mp4', [ #video can be downloaded from /conten HTML (display(source_image, driving_vi 100%|| 836/836 [00:34<00:00

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Facemorphs / Baka Mitai Guide Image #8

Create a model and load checkpoints [5] from demo import load_checkpoints generator, kp_detector = load_checkpoints (config_path='config/vox-256.yaml', 10) Press this button checkpoint_path='/content/gdrive/My Drive/first-order-motion-model/vox-cpk. Perform image animation [6] from demo import make_animation from skimage import img_as_ubyte 11) Then this one predictions = make_animation(source_image, driving_video, generator, kp_detector, relative=True) #save resulting video imageio.mimsave('../generated.mp4', [img_as_ubyte(frame) for frame in predictions]) #video can be downloaded from /content folder HTML (display(source_image, driving_video, predictions).to_htm15_video()) 100%| || 211/211 [00:07<00:00, 29.03it/s]
Create a model and load checkpoints [5] from demo import load_checkpoints generator, kp_detector = load_checkpoints (config_path='config/vox-256.yaml', 10) Press this button checkpoint_path='/content/gdrive/My Drive/first-order-motion-model/vox-cpk. Perform image animation [6] from demo import make_animation from skimage import img_as_ubyte 11) Then this one predictions = make_animation(source_image, driving_video, generator, kp_detector, relative=True) #save resulting video imageio.mimsave('../generated.mp4', [img_as_ubyte(frame) for frame in predictions]) #video can be downloaded from /content folder HTML (display(source_image, driving_video, predictions).to_htm15_video()) 100%| || 211/211 [00:07<00:00, 29.03it/s]

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Facemorphs / Baka Mitai Guide Image #7

Load driving video and source image * V GD 0 i 7 import imageio import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation 9) Press this button from skimage.transform import resize from IPython.display import HTML import warnings warnings.filterwarnings("ignore") source_image = imageio.imread('/content/gdrive/My Drive/first-order-motion-model/02.png') driving_video = imageio.mimread('/content/gdrive/My Drive/first-order-motion-model/04.mp4') #Resize image and video to 256x256 source_image = resize(source_image, (256, 256))[..., :3] driving_video = [resize(frame, (256, 256))[..., :3] for frame in driving_video] def display(source, driving, generated=None): fig = plt.figure (figsize=(8 + 4 * (generated is not None), 6)) ims = [] for i in range(len(driving)): cols = [source] cols.append (driving[i]) if generated is not None: cols.append(generated[i]) im = plt.imshow(np.concatenate(cols, axis=1), animated=True) plt.axis ('off') ims.append([im])
Load driving video and source image * V GD 0 i 7 import imageio import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation 9) Press this button from skimage.transform import resize from IPython.display import HTML import warnings warnings.filterwarnings("ignore") source_image = imageio.imread('/content/gdrive/My Drive/first-order-motion-model/02.png') driving_video = imageio.mimread('/content/gdrive/My Drive/first-order-motion-model/04.mp4') #Resize image and video to 256x256 source_image = resize(source_image, (256, 256))[..., :3] driving_video = [resize(frame, (256, 256))[..., :3] for frame in driving_video] def display(source, driving, generated=None): fig = plt.figure (figsize=(8 + 4 * (generated is not None), 6)) ims = [] for i in range(len(driving)): cols = [source] cols.append (driving[i]) if generated is not None: cols.append(generated[i]) im = plt.imshow(np.concatenate(cols, axis=1), animated=True) plt.axis ('off') ims.append([im])

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Facemorphs / Baka Mitai Guide Image #6

Your Drive Folder should look like this: Drive Search in Drive Source image My Drive > first-order-motion-model Name Owner Last modifi. File size Source video 02.png 21:20 me 63 KB me 04.mp4 2 18:22 me 7 MB me Files you copied vox-adv-cpk.pth.tar 2 18:16 me 716 MB me vox-cpk.pth.tar 18:15 me 695 MB me
Your Drive Folder should look like this: Drive Search in Drive Source image My Drive > first-order-motion-model Name Owner Last modifi. File size Source video 02.png 21:20 me 63 KB me 04.mp4 2 18:22 me 7 MB me Files you copied vox-adv-cpk.pth.tar 2 18:16 me 716 MB me vox-cpk.pth.tar 18:15 me 695 MB me

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Facemorphs / Baka Mitai Guide Image #5

Mount your Google drive folder on Colab from google.colab import drive 8) Paste the code into the box drive.mount ('/content/gdrive') Go to this URL in a browser: ht://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pft Enter your authorization cod. Add folder https://drive.google.com/drive/folders/1kZ1gCnpfU0BnpdU47pLM TQ6RypDDqgw?usp=sharing to your google drive.
Mount your Google drive folder on Colab from google.colab import drive 8) Paste the code into the box drive.mount ('/content/gdrive') Go to this URL in a browser: ht://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pft Enter your authorization cod. Add folder https://drive.google.com/drive/folders/1kZ1gCnpfU0BnpdU47pLM TQ6RypDDqgw?usp=sharing to your google drive.

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Facemorphs / Baka Mitai Guide Image #4

GoodiCopy this code Sign in Please copy this code, switch to your application and paste it there: 4/2gHeY211rE5uRYrGmgGvMjSFyGEj_vO- WEB5WTWruRet3QZGQtBFuLI
GoodiCopy this code Sign in Please copy this code, switch to your application and paste it there: 4/2gHeY211rE5uRYrGmgGvMjSFyGEj_vO- WEB5WTWruRet3QZGQtBFuLI

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Facemorphs / Baka Mitai Guide Image #3

G Sign in with Google Google Drive File Stream wants to access your Google Account This will allow Google Drive File Stream to: See, edit, create, and delete all of your Google Drive files View the photos, videos and albums in your Google Photos View Google people information such as profiles O and contacts See, edit, create, and delete any of your Google O Drive documents Make sure you trust Google Drive File Stream You may be sharing sensitive info with this site or app. Learn about how Google Drive File Stream will handle your data b6yePressofAllowwacy policies. You can alvays see or remove access in your Google Account. Learn about the risks Cancel Allow
G Sign in with Google Google Drive File Stream wants to access your Google Account This will allow Google Drive File Stream to: See, edit, create, and delete all of your Google Drive files View the photos, videos and albums in your Google Photos View Google people information such as profiles O and contacts See, edit, create, and delete any of your Google O Drive documents Make sure you trust Google Drive File Stream You may be sharing sensitive info with this site or app. Learn about how Google Drive File Stream will handle your data b6yePressofAllowwacy policies. You can alvays see or remove access in your Google Account. Learn about the risks Cancel Allow

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Facemorphs / Baka Mitai Guide Image #1

Demo for paper "First Order Motion Model for Image Animation" 1) Paste this line Clone repository !pip install PYYAML==5.3.1 !git clone https://github.com/AliaksandrSiarohin/first-order-model Cloning into 'first-order-model'... remote: Enumerating objects: 85, done. remote: Total 85 (delta 0), reused e (delta 0), pack-reused 85 Unpacking objects: 100% (85/85), done. 2) Press this button [2] cd first-order-model A / content/first-order-model Mount your Google drive folder on Colab
Demo for paper "First Order Motion Model for Image Animation" 1) Paste this line Clone repository !pip install PYYAML==5.3.1 !git clone https://github.com/AliaksandrSiarohin/first-order-model Cloning into 'first-order-model'... remote: Enumerating objects: 85, done. remote: Total 85 (delta 0), reused e (delta 0), pack-reused 85 Unpacking objects: 100% (85/85), done. 2) Press this button [2] cd first-order-model A / content/first-order-model Mount your Google drive folder on Colab

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