update image and dependencies in film notebook (#1710)

openvinotoolkit · Feb 13, 2024 · 898d8d4 · 898d8d4
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diff --git a/README.md b/README.md
@@ -43,7 +43,7 @@ Check out the latest notebooks that show how to optimize and deploy popular mode
 | [QR Code Monster](notebooks/264-qrcode-monster/)<br> | Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/76463150/1a5978c6-e7a0-4824-9318-a3d8f4912c47" width=225> |
 | [Würstchen](notebooks/265-wuerstchen-image-generation)<br> | Text-to-image generation with Würstchen and OpenVINO™ | <img src="https://github.com/itrushkin/openvino_notebooks/assets/76161256/6917c558-d74c-4cc9-b81a-679ce0a299ee" width=300> | |
 | [Distil-Whisper](notebooks/267-distil-whisper-asr)<br> | Automatic speech recognition using Distil-Whisper and OpenVINO™ | | |
-| [FILM](notebooks/269-film-slowmo)<br> | Frame interpolation with FILM and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/1720147/8ac5178d-4a92-4a86-a3df-dd494434fed6" width=300> |
+| [FILM](notebooks/269-film-slowmo)<br> | Frame interpolation with FILM and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/7e87e1a5-6197-4a15-9ced-44e21dd05b02" width=300> |
 | [Audio LDM 2](notebooks/270-sound-generation-audioldm2/)<br> | Sound Generation with AudioLDM2 and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/76463150/c93a0f86-d9cf-4bd1-93b9-e27532170d75" width=300> |
 | [SDXL-Turbo](notebooks/271-sdxl-turbo/)<br> | Single-step image generation using SDXL-turbo and OpenVINO | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/79b625c7-0f0a-4f19-8e38-e6f896f75c3e" width=300> |
 | [Stable-Zephyr chatbot](notebooks/273-stable-zephyr-3b-chatbot/)<br> | Use Stable-Zephyr as chatbot assistant with OpenVINO | <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/cfac6ddb-6f22-4343-855c-e513269cf2bf width=300> |
@@ -223,7 +223,7 @@ Demos that demonstrate inference on a particular model.
 | [266-speculative-sampling](notebooks/266-speculative-sampling)<br> | Text Generation via Speculative Sampling, KV Caching, and OpenVINO™ | <img src=https://user-images.githubusercontent.com/29454499/280659301-49a38beb-e6f3-4a2c-858e-be4ca4491016.png width=225> |
 | [267-distil-whisper-asr](notebooks/267-distil-whisper-asr)<br> | Automatic speech recognition using Distil-Whisper and OpenVINO™ | |
 | [268-table-question-answering](notebooks/268-table-question-answering)<br><br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/268-table-question-answering/268-table-question-answering.ipynb)<br> | Table Question Answering using TAPAS and OpenVINO™ ||
-| [269-film-slowmo](notebooks/269-film-slowmo)<br> | Frame interpolation with FILM and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/1720147/8ac5178d-4a92-4a86-a3df-dd494434fed6" width=225> |
+| [269-film-slowmo](notebooks/269-film-slowmo)<br> | Frame interpolation with FILM and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/7e87e1a5-6197-4a15-9ced-44e21dd05b02" width=225> |
 | [270-sound-generation-audioldm2](notebooks/270-sound-generation-audioldm2/)<br> | Sound Generation with AudioLDM2 and OpenVINO™ | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/76463150/c93a0f86-d9cf-4bd1-93b9-e27532170d75" width=225> |
 | [271-sdxl-turbo](notebooks/271-sdxl-turbo/)<br> | Single-step image generation using SDXL-turbo and OpenVINO | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/79b625c7-0f0a-4f19-8e38-e6f896f75c3e" width=225> |
 | [272-paint-by-example](notebooks/272-paint-by-example/)<br>| Exemplar based image editing using diffusion models, [Paint-by-Example](https://github.com/Fantasy-Studio/Paint-by-Example), and OpenVINO™ | <img width="225" alt="ui_example" src="https://user-images.githubusercontent.com/103226580/236958011-0550ba7b-19b3-4dc6-8b50-eaedb84c1681.png"> |

diff --git a/README_cn.md b/README_cn.md
@@ -40,7 +40,7 @@
 | [QR Code Monster](notebooks/264-qrcode-monster/)<br> | 使用ControlNet QR Code Monster 和 OpenVINO™生成创意二维码 | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/76463150/1a5978c6-e7a0-4824-9318-a3d8f4912c47" width=225> |
 | [Würstchen](notebooks/265-wuerstchen-image-generation)<br> | 基于Würstchen 和 OpenVINO™实现文本到图像生成 | <img src="https://github.com/itrushkin/openvino_notebooks/assets/76161256/6917c558-d74c-4cc9-b81a-679ce0a299ee" width=300> | |
 | [Distil-Whisper](notebooks/267-distil-whisper-asr)<br> | 基于Distil-Whisper 和 OpenVINO™实现自动语音识别 | | |
-| [FILM](notebooks/269-film-slowmo)<br> | 使用FILM 和 OpenVINO™实现视频插帧| <img src="https://github.com/googlestaging/frame-interpolation/raw/main/moment.gif" width=300> |
+| [FILM](notebooks/269-film-slowmo)<br> | 使用FILM 和 OpenVINO™实现视频插帧| <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/7e87e1a5-6197-4a15-9ced-44e21dd05b02" width=300> |
 
 
 ## 目录
@@ -202,7 +202,7 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [266-speculative-sampling](notebooks/266-speculative-sampling)<br> | 基于推测性抽样, KV Caching, 和 OpenVINO™的文本生成任务 | <img src=https://user-images.githubusercontent.com/29454499/280659301-49a38beb-e6f3-4a2c-858e-be4ca4491016.png width=225> |
 | [267-distil-whisper-asr](notebooks/267-distil-whisper-asr)<br> | 基于Distil-Whisper 和 OpenVINO™实现自动语音识别 | |
 | [268-table-question-answering](notebooks/268-table-question-answering)<br><br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/268-table-question-answering/268-table-question-answering.ipynb)<br> | 使用TAPAS 和 OpenVINO™面向表格文件进行问答 ||
-| [269-film-slowmo](notebooks/269-film-slowmo)<br> | 使用FILM 和 OpenVINO™实现视频插帧 | <img src="https://github.com/googlestaging/frame-interpolation/raw/main/moment.gif" width=225> |
+| [269-film-slowmo](notebooks/269-film-slowmo)<br> | 使用FILM 和 OpenVINO™实现视频插帧 | <img src="https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/7e87e1a5-6197-4a15-9ced-44e21dd05b02" width=225> |
 
 <div id='-model-training'/>
 

diff --git a/notebooks/269-film-slowmo/269-film-slowmo.gif b/notebooks/269-film-slowmo/269-film-slowmo.gif
diff --git a/notebooks/269-film-slowmo/269-film-slowmo.ipynb b/notebooks/269-film-slowmo/269-film-slowmo.ipynb
diff --git a/notebooks/269-film-slowmo/README.md b/notebooks/269-film-slowmo/README.md
@@ -2,7 +2,7 @@
 
 [Frame interpolation](https://en.wikipedia.org/wiki/Motion_interpolation) is the process of synthesizing in-between images from a given set of images. The technique is often used for [temporal up-sampling](https://en.wikipedia.org/wiki/Frame_rate#Frame_rate_up-conversion) to increase the refresh rate of videos or to create slow motion effects. Nowadays, with digital cameras and smartphones, we often take several photos within a few seconds to capture the best picture. Interpolating between these “near-duplicate” photos can lead to engaging videos that reveal scene motion, often delivering an even more pleasing sense of the moment than the original photos.
 
-![](https://github.com/googlestaging/frame-interpolation/raw/main/moment.gif)
+![](https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/7e87e1a5-6197-4a15-9ced-44e21dd05b02)
 
 In [\"FILM: Frame Interpolation for Large Motion\"](https://arxiv.org/pdf/2202.04901.pdf), published at ECCV 2022, a method to create high quality slow-motion videos from near-duplicate photos is presented. FILM is a new neural network architecture that achieves state-of-the-art results in large motion, while also handling smaller motions well.